International Journal of Disaster Risk Management (IJDRM)

International Journal of Disaster Risk Management (IJDRM)

Disaster Risk Assessment and Management Challenges Faced by University Libraries: A Case Study of Disaster-Prone Region Hazara, Pakistan

Authors

Saima Hanif, Muhammad Awais, Syed Arif Ali Shah

Abstract

The Hazara region in Khyber Pakhtunkhwa, Pakistan, is highly susceptible to disasters. This research investigates the types of disasters that can affect university libraries in the Hazara region and the challenges they pose. The study population consisted of university library staff from the Hazara region. Using purposive sampling, 15 semi-structured interviews were conducted with library staff in key positions. There are 5 universities in this region. The qualitative data, subjected to thematic analysis, highlighted principal themes and emerged subthemes. Two major themes were identified for the disaster types — natural and man-made disasters — while 3 major themes were identified for the challenges — funding, lack of policies, and lack of planning. The findings include natural and man-made disasters, cyberattacks, a lack of institutional policies for disaster mitigation, insufficient budgets, inadequate roads and bridges, and limited awareness of how to handle disasters. Based on these findings, specific recommendations and practical implications are provided, including policy development, training, community engagement, early warning systems, infrastructure development, resource allocation, and security systems. The study advocates for a practical approach to disaster management. The study's conclusions and recommendations have implications for library specialists, policymakers, and shareholders in the Hazara Region and beyond.

Keywords

disaster risk assessment (DRA), challenges in the implementation of disaster management, academic libraries, hazara region, Pakistan

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 295-312
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Hanif, S., Muhammad Awais, & Syed Arif Ali Shah. (2025). Disaster Risk Assessment and Management Challenges Faced by University Libraries: A Case Study of Disaster-Prone Region Hazara, Pakistan. International Journal of Disaster Risk Management, 7(2), 295-312. https://doi.org/10.18485/ijdrm.2025.7.2.16

References

1. Abidin, M.I., Kiran, K. and Samsuddin, S.F. (2024), "In the line of disaster: preparedness and effective response of academic libraries in Malaysia", Library Management, Vol. 45 No. 8/9, pp. 506-526. https://doi.org/10.1108/LM-02-2024-0021

2. Asad, A. Z., & Hussain, B. (2014). Disaster, development, good governance and the time frame nexus: A case study of Balakot, Hazara, Pakistan. The Journal of Humanities and Social Sciences, 22(3), 53-66.https://www.proquest.com/scholarly-journals/disaster-development-good-governance-time-frame/docview/1697016095/se-2

3. Albrecht, S. (2023). The safe library: Keeping users, staff, and collections secure. Rowman & Littlefield.

4. Bhavsar, S., & Bhavsar, S. (2017). Cyber Crime and Measures to Prevent in Libraries. Knowledge Librarian, 3(5), 38-47. http://www.klibjlis.com/4.5.7.pdf

5. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

6. CLN, C. J. O., & CLN, A. E. O. (2020). Perceived Effects of Mutilation of Material Resources on the Academic Performance of Undergraduate Students in University Libraries in Abuja, Nigeria. International Journal of Knowledge Dissemination (IJKD), 1(2), 28-38.

7. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

8. Dada , K. S. J., Hamza, J. M., & Mohammed, H. A. (2025). Disaster Risk Management in Libraries and Information Centers: Global Strategies, Challenges, Policy and Recommendations. International Journal of Disaster Risk Management, 7(1), 203–214. https://doi.org/10.18485/ijdrm.2025.7.1.11

9. Edward, A., Dodzi, O. F., & Wilson, A. B. K. (2025). Ensuring Disaster Management Practices in Academic Libraries of Ghana: The Issues at Hand. International Journal of Disaster Risk Management, 7(1), 399–416. https://doi.org/10.18485/ijdrm.2025.7.1.23

10. Garnett, J. (2021). Academic libraries–Changing the approach: Resilience building against disruptive events and the contribution to disaster risk reduction frameworks. New Review of Academic Librarianship, 27(1), 113-129. https://doi.org/10.1080/13614533.2019.1703767

11. Hussain, A. (2019). Disaster preparedness in libraries of Kashmir. Library Philosophy and Practice, 2019, 1-10. https://core.ac.uk/download/pdf/220153841.pdf

12. Kabir, M. H., Hossain, T., & Haque, M. W. (2022). Resilience to natural disasters: A case study on southwestern region of coastal Bangladesh. International Journal of Disaster Risk Management, 4(2), 91–105. https://doi.org/10.18485/ijdrm.2022.4.2.6

13. Kuzucuoglu, A. H. (2014). Risk management in libraries, archives and museums. IIB International Refereed Academic Social Sciences Journal, 5(15), 277.

14. Kuzucuoglu, A. H. (2022). Disaster Impacts and Risk Reduction Measures in Library Structure and Functions. Kent Akademisi, 15(2), 819-831. https://dergipark.org.tr/en/download/article-file/2127810

15. Matonkar, M. P. V.(2024). Library Security in the Digital Age: Cyber Threats and Solutions. Retrieved June 25, 2025, from file:///C:/Users/saima/Downloads/Cybersecurity.pdf

16. Matthews, G., & Smith, Y. (2016). Disaster management in archives, libraries and museums. Routledge.

17. Mir, S., Shah, S.A. & Shafi Bhat, M. Disasters affecting education across time and space—a perspective from Kashmir. Environ Dev Sustain 27, 3125–3143 (2025). https://doi.org/10.1007/s10668-023-04006-1

18. Morgan, G., & Smith, J. G. (1997). Disaster management in libraries: the role of a disaster plan. South African journal of library and information science, 65, 62-71.

https://pdfs.semanticscholar.org/5328/6c2ee22b851855922b2dc215900ece4c8892.pdf

19. Muir, A., & Shenton, S. (2002). If the worst happens: the use and effectiveness of disaster plans in libraries and archives. Library management, 23(3), 115-123. https://doi.org/10.1108/01435120210697216

20. Naikal and Atul Sahu (2023) Effective Ways of Handling the Termite Problem in Library and Information Centres: A Case Study of Indian Institute of Management, Kozhikode, Kerala , Kelpro Bulletin, 27 (1), 83-92.

21. Preservation Concerns in Construction and Remodeling of Libraries: Planning for Preservation. https://files.eric.ed.gov/fulltext/ED355959.pdf

22. Rasaki, O. E., Adewuyi, O. W., & Makinde, O. O. (2023). An investigation into pest management and control in selected university libraries in Nigeria. Journal of the Institute of Conservation, 46(1), 50-63. https://doi.org/10.1080/19455224.2022.2157458

23. Shaw, R., Uy, N., & Baumwoll, J. (Eds.). (2008). Indigenous knowledge for disaster risk reduction: Good practices and lessons learned from experiences in the Asia-Pacific Region. United Nations, International Strategy for Disaster Reduction.

https://doi.org/10.4102/JAMBA.V8I1.272

24. Shaheen, M. A. (2008). Earthquake effects on educational institutions and libraries of Azad Kashmir: An appraisal. Library Review, 57(6), https://doi.org/10.1108/00242530810886724

25. Strebel, M. (2012). Passive Climate Control: How Air Conditioning in the Storage Rooms of Archives, Libraries, and Museums Can be Replaced with Passive Systems. Journal of Paper Conservation, 13(4), 22-34. https://atelierstrebel.ch/_tmc_daten/File/JPC1204_Strebel_048.pdf

26. Sukhwani, V., Gyamfi, B. A., Zhang, R., AlHinai, A. M., & Shaw, R. (2019). Understanding the barriers restraining effective operation of flood early warning systems. International Journal of Disaster Risk Management, 1(2), 1–19. https://doi.org/10.18485/ijdrm.2019.1.2.1

27. Swathi, J. M. (2015). The profile of disaster risk of Pakistan and institutional response. Emergency and Disaster Reports, 2(1), 2-55. Retrieved June 18, 2025, from http://www.uniovi.net/uied/Emergency_and_Disaster_Reports/EDR_2_1_2015.pdf

28. United Nations Office for Disaster Risk Reduction (UNDRR). 2017. The Sendai Framework Terminology on Disaster Risk Reduction. "Disaster risk assessment". Accessed 12 June 2025. https://www.undrr.org/terminology/disaster-risk-assessment.

29. United Nations Office for Disaster Risk Reduction. (2015). Sendai framework for disaster risk reduction 2015-2030. Retrieved from http://unisdr.org/we/inform/publications/43291

30. Uy, N. (2008). Shaped by wind and typhoon: The indigenous knowledge of the Ivatans in the Batanes Islands, Philippines.

31. Wani, Z. A., & Ganaie, A. H. (2017). Impact of Kashmir Floods on Libraries. Collection Building, 36(2), 69-76. https://doi.org/10.1108/CB-01-2017-0002.

32. Yazid, T. P., Salam, N. E., Iskandar, D., Hardianti, F., Elsarena, M. S. R., & Wahidar, T. I. (2025). The Role of Siak District Library and Archives Office in Disaster Mitigation. In E3S Web of Conferences (Vol. 611, p. 04004). EDP Sciences. https://doi.org/10.1051/e3sconf/202561104004

Digital Literacy and Educational Empowerment Among Rural Women in Bangladesh: Bridging the Technology Access Gap

Authors

Ritesh Karmaker, Vladimir M. Cvetković

Abstract

This study explores how digital literacy influences the education and empowerment of rural women in Bangladesh from 2015 to 2024. Using data from surveys, semi-structured interviews, and focus groups, it examines how rural women access digital technologies, the challenges they face, and the social and educational benefits of increased digital engagement. Despite growth in digital literacy and ICT access over the past decade, rural women still face significant hurdles, including socioeconomic barriers, cultural and gender norms, limited digital infrastructure, high device costs, and unequal training opportunities. These structural issues, along with regional differences and low digital awareness, continue to widen the gender digital divide. The findings show that digital literacy significantly enhances educational participation, access to online learning, communication, and opportunities for income generation and entrepreneurship. The COVID-19 pandemic has further highlighted the importance of digital skills for maintaining educational continuity and for remote service access. However, participation remains uneven, especially among the most marginalized rural groups. The study emphasizes the need for targeted, gender-sensitive digital literacy programs that address affordability, connectivity, and cultural barriers. It also recommends policies to improve rural ICT infrastructure, expand community-based training, and foster inclusive digital ecosystems. Overall, this research provides new empirical evidence, showing that digital literacy—when combined with accessible infrastructure and culturally appropriate programs—can be a powerful tool for closing educational gaps, enabling socioeconomic mobility, and advancing gender equality in rural Bangladesh.

Keywords

digital literacy, technology access, rural education, gender inequality, digital divide

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 239-262
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Karmaker, R., & Cvetković, V. M. (2025). Digital Literacy and Educational Empowerment Among Rural Women in Bangladesh: Bridging the Technology Access Gap. International Journal of Disaster Risk Management, 7(2), 239-262. https://doi.org/10.18485/ijdrm.2025.7.2.13

References

1. ADB (2019). Gender and digital literacy in rural schools.

2. ADB (2019). ICT and women's empowerment in Bangladesh.

3. ADB (2019). ICT for rural women: Barriers and opportunities.

4. ADB (2020). Asian development outlook 2020: Technology and the future of work. Asian Development Bank;

5. Ahmed, N., Sinha, A., Saha, A., Rony, R. J., Khan, S. S., Abeer, I. A., & Hasan, M. (2022, December). Structured training as an enabler for women in ICT: A case study from Bangladesh. In 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) (pp. 120-124). IEEE. https://doi.org/10.1109/TALE54877.2022.00027

6. Akter, M., & Husain, T. (2021). The impact of the Union Digital Centre on women's empowerment: An assessment of the Union Digital Center on women's empowerment in rural areas of Bangladesh. Dynamics of Public Administration, 38(2), 188-197. https://doi.org/10.5958/0976-0733.2021.00014.6

7. Akter, R., Roy, T., & Aktar, R. (2023). The Challenges of Women in Post-disaster Health Management: A Study in Khulna District. International Journal of Disaster Risk Management, 5(1), 51–66. https://doi.org/10.18485/ijdrm.2023.5.1.5

8. Akter, S. (2024). Digitalization of education in rural schools: A study of access, utilization, and impact toward digitalization in Bangladesh. American International Journal of Multidisciplinary Scientific Research, 15(1), 1-9. https://doi.org/10.46281/aijmsr.v15i1.2205

9. Alam, M. J., Pervez, A. K. M., Kabir, M. S., Amin, M. R., & Bhuiya, R. A. (2023). The challenges and prospects of e-learning in higher education in Bangladesh: A review. Asian Journal of Education and Social Studies, 43(1), 10-19. https://doi.org/10.9734/ajess/2023/v43i1931

10. Al-Amin, S. Y. E. E. D. U. L., Rony, A. K., & Rahman, S. S. (2024). Impact of women entrepreneurship on digital entrepreneurship: A focus on women’s participation in Bangladesh. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 43(10), 137-150. https://doi.org/10.5281/zenodo.13969563

11. Amin, S., & UN.ESCAP. (2024). Critical analysis of ICT connectivity in rural Bangladesh: Importance, constraints, and the way forward. United Nations Economic and Social Commission for Asia and the Pacific. https://hdl.handle.net/20.500.12870/7510

12. Ateş, Ö., Bayram, G. E., & Bayram, A. T. (2025). The impact of digital tools on the economic empowerment of rural women. In Empowering Women Through Rural Sustainable Development and Entrepreneurship. IGI Global Scientific Publishing. (pp. 309-324).x. https://doi.org/10.4018/979-8-3693-6572-4.ch016

13. Awaghade, A. B. (2022). Online education: issues and challenges in digital equality. International Journal of Human Rights and Constitutional Studies, 9(4), 369-380. https://doi.org/10.1504/IJHRCS.2022.126183

14. Aziz, A., & Naima, U. (2021). Rethinking digital financial inclusion: Evidence from Bangladesh. Technology in Society, 64, 101509. https://doi.org/10.1016/j.techsoc.2020.101509

15. BD Govt. National ICT policy (2017). Government of Bangladesh; United Nations Development Programme.

16. Beli, A., Renner, R., Cvetković, V. M., Ivanov, A., & Gačić, J. (2025). A Cross-National Study of Disaster Risk Management: Strengths and Weaknesses in Bulgaria, Romania, and Albania with Reflections on Serbia. International Journal of Disaster Risk Management, 7(1), 431–460. https://doi.org/10.18485/ijdrm.2025.7.1.25

17. Bhuiyan, M. I. U., & Mollik, M. M. (2023). Leveraging technology to enhance quality education in primary schools: Opportunities and challenges in Bangladesh. In Global Perspectives on Value Education in Primary School (pp. 35-57). https://doi.org/10.4018/978-1-6684-9295-6.ch003

18. BRAC. (2017). Barriers to ICT access in rural Bangladesh.

19. BRAC. (2017). ICT in education: Empowering rural girls in Bangladesh.

20. BRAC. (2017). Women and technology: Bridging the digital divide in rural Bangladesh.

21. BRAC. (2019). Empowering rural women through technology. BRAC; Asian Development Bank

22. BRAC. (2020). COVID-19 and the rural digital divide.

23. BRAC. (2020). Digital inclusion for rural women in Bangladesh.

24. BRAC. (2020). Technology for learning: Empowering rural women in education.

25. BRAC. (2022). Digital literacy programs for women in rural Bangladesh. BRAC;

26. Cvetković, V. & Šišović, V. (2024). Capacity Building in Serbia for Disaster and Climate Risk Education. Disaster and Climate Risk Education Insights from Knowledge to Action, edited by Ayse Yildiz and Rajib Shaw, book series Disaster Risk Reduction, Springer Nature Singapore Pte Ltd., 152 Beach Road.

27. Cvetković, V. (2016). The relationship between educational level and citizen preparedness for responding to natural disasters. Journal of the Geographical Institute “Jovan Cvijić” SASA, 66(2), 237–253.

28. Cvetković, V. M. (2023). A Predictive Model of Community Disaster Resilience based on Social Identity Influences (MODERSI). International Journal of Disaster Risk Management, 5(2), 57–80. https://doi.org/10.18485/ijdrm.2023.5.2.5

29. Cvetković, V., & Katarina, A. (2019). Edukacija građana o smanjenju rizika od katastrofa korišćenjem multimedijalnih sadržaja – društvene igre, kompjuterske igrice i simulacije [Citizen education for disaster risk reduction using multimedia content – board games, computer games and simulations]. Vojno delo, 71(6), 122–151.

30. Cvetković, V., & Svrdlin, M. (2020). Vulnerability of women to the consequences of naturally caused disasters: the Svilajnac case study [Ugroženost žena od posledica prirodno izazvanih katastrofa]. Bezbednost, 62(3), 43–61.

31. Cvetković, V., Tarolli, P., Roder, G., Ivanov, A., Ronan, K., Öcal, A., & Kutub, R. (2017). Citizens education about floods: A Serbian case study. 7th International Scientific Conference “Archibald Reiss Days”, Academy of Criminalistics and Police Studies, Belgrade.

32. Dada, K. S. J., Mohammed, H. A., Mallam, D., & Ajayi, E. O. (2025). Security of information resources in Federal College of Education libraries in Northwest Nigeria. International Journal of Contemporary Security Studies, 1(1), 85–98. https://doi.org/10.18485/fb_ijcss.2025.1.1.7

33. Domingo Dela Cruz, R. ., & Ormilla, R. C. G. (2022). Disaster Risk Reduction Management Implementation in the Public Elementary Schools of the Department of Education, Philippines. International Journal of Disaster Risk Management, 4(2), 1–15. https://doi.org/10.18485/ijdrm.2022.4.2.1

34. Emon, M. H., & Nipa, M. N. (2024). Exploring the gender dimension in entrepreneurship development: A systematic literature review in the context of Bangladesh. Westcliff International Journal of Applied Research, 8(1), 34-49. https://doi.org/10.47670/wuwijar202481mhemnn

35. Farley, I. A., & Burbules, N. C. (2022). Online education viewed through an equity lens: Promoting engagement and success for all learners. Review of Education, 10(3), e3367. https://doi.org/10.1002/rev3.3367

36. Gajović, A., Cvetković, V. M., Renner, R., & Milašinović, S. (2025). Digital Platform for Ecological Education of Students – Advancing the United Nations Sustainable Development Goals and the European Green Deal: The Case of ProSafeNet (Global Hub). International Journal of Contemporary Security Studies, 1 (2).

37. Goswami, T., & Ahmad, A. (2025). Integrating Disability into Disaster Management Education in India: A Critical Review. International Journal of Disaster Risk Management, 7(1), 163–176. https://doi.org/10.18485/ijdrm.2025.7.1.9

38. Haque, A., Haque, W., Ahmed, E., Islam, M. Z., & Islam, M. K. (2023). Empowering women through IT: The role of the IT sector in Bangladesh. Saudi Journal of Economics and Finance, 7(10), 459-465. https://doi.org/10.36348/sjef.2023.v07i10.005

39. Hoque, M. R., Sorwar, G., & Hossain, M. U. (2022). Sustainable rural development through union digital center: The citizen empowerment perspective. 55th Hawaii International Conference on System Sciences | 2022, 2732-2741. http://hdl.handle.net/10125/79672

40. Hoque, S. M. S., & Kabir, M. A. A. (2024). Assessing ICT and e-government service through UDC in Bangladesh: Rural dwellers’ economic benefits. Electronic Government, an International Journal, 20(2), 161-174. https://doi.org/10.1504/EG.2023.10046454

41. Hossain, B., Fatima, M. J., Muzykant, V. L., Hoesin, C. F. I. S., & Nahiduzzaman, M. (2023). An overview of digital media literacy in digital Bangladesh. Jurnal Cita Hukum, 11(2), 267-288. https://doi.org/10.15408/jch.v11i2.34755

42. Hussain, B. M., & Chen, D. (2018, August). Information & communication technology (ICT) can change the way of women entrepreneurs run their businesses: A case study in Bangladesh. In 2018 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 1-6). IEEE. https://doi.org/10.23919/PICMET.2018.8481852

43. ICT Division. (2018). Challenges in rural connectivity and women’s ICT use.

44. ICT Division. (2018). Digital Bangladesh Vision 2021.

45. ICT Division. (2018). The role of technology in enhancing rural education.

46. ICT Division. (2021). Digital Bangladesh 2021 report. Ministry of Posts, Telecommunications, and Information Technology, Bangladesh;

47. ICT Division. (2022). Bringing digital education to rural Bangladesh.

48. ICT Division. (2022). Connecting the unconnected: Internet access in rural Bangladesh.

49. ICT Division. (2022). Overcoming connectivity gaps in rural areas.

50. ICT Division. (2024). Digital literacy and its impact on education in rural Bangladesh.

51. ICT Division. (2024). National connectivity and digital literacy survey 2024.

52. ICT Division. (2024). National ICT development strategy for 2024. Ministry of Posts, Telecommunications, and Information Technology, Bangladesh.

53. ICT Division. (2024). Overcoming barriers in rural digital literacy in Bangladesh.

54. Islam, K. A., & Khan, M. S. (2024). The role of financial literacy, digital literacy, and financial self-efficacy in fintech adoption. Investment Management and Financial Innovations, 21(2), 369-380. https://doi.org/10.21511/imfi.21(2).2024.30

55. Islam, M. M., & Islam, M. M. (2023). E-learning in Bangladesh: Challenges and overcoming strategies. Journal of the National Academy for Planning and Development (NAPD), 32(1), 79-100.

56. Islam, M. N., & Inan, T. T. (2021). Exploring the fundamental factors of digital inequality in Bangladesh. Sage Open, 11(2), 21582440211021407. https://doi.org/10.1177/21582440211021407

57. Islam, M. R. (2017). Non-governmental organizations and community development in Bangladesh. International Social Work, 60(2), 479-493. https://doi.org/10.1177/0020872815574133

58. Islam, M. R., & Mostafiz, F. (2024). Impact of soft skills training on rural women’s development in Bangladesh: A mixed-method approach. BUFT Journal of Business & Economics (BJBE), 5, 223-245. https://doi.org/10.58481/BJBE/2415

59. Ivanov, A., & Cvetković, V. (2014). The Role of Education in Natural Disaster Risk Reduction. Horizons, International Scientific Journal, 16, 115–131.

60. Jakovljević, V., Cvetković, V., & Gačić, J. (2015). Prirodne katastrofe i obrazovanje [Natural Disasters and Education]. Beograd: Fakultet bezbednosti, Univerzitet u Beogradu.

61. Jevtić, M., Cvetković, V. M., Gačić, J., & Raonić, Z. (2025). Factors of Vulnerability and Resilience of Persons with Disabilities During Disasters: Challenges and Strategies for Inclusive Risk Reduction. International Journal of Disaster Risk Management, 7(1), 91–114. https://doi.org/10.18485/ijdrm.2025.7.1.6

62. Karmaker, R., & Lemon, M. H. A. (2024). Female students, dropping out of education. Indonesian Journal of Multidiciplinary Research, 4(1), 77-88.

63. Karmaker, R., & Lemon, M. H. A. (2024). Female students, dropping out of education. Indonesian Journal of Multidisciplinary Research, 4(1), 77–88.

64. Karmaker, R., & Rahman, R. (2024). Female having education in the world of technology wading obstacle facing religious and social barrier. ASEAN Journal of Religion, Education, and Society, 3(1), 23-36. https://doi.org/10.13140/RG.2.2.35051.11046

65. Karmaker, R., & Rahman, R. (2024). Female having education in the world of technology wading obstacle facing religious and social barrier. ASEAN Journal of Religion, Education, and Society, 3(1), 23–36. https://doi.org/10.13140/RG.2.2.35051.11046

66. Khan, A. S. N., Mansur, M., Pamela, K. S., & Promy, N. K. (2024). Women business moving beyond development enigma. Journal of Global Entrepreneurship Research, 14(1), 5. https://doi.org/10.1007/s40497-023-00374-0

67. Khatun, F., Heywood, A. E., Hanifi, S. M. A., Rahman, M. S., Ray, P. K., Liaw, S. T., & Bhuiya, A. (2017). Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh. BMC Health Services Research, 17, 1-11. https://doi.org/10.1186/s12913-017-2523-6

68. Khatun, F., Saadat, S. Y., & Islam, M. J. (2021). Digital platform economy in Bangladesh: Opportunities and challenges. CPD Report 11, Centre for Policy Dialogue (CPD).

69. Kutub, J. R., Cvetković, V. M., & Huq, S. (2017). Assessment of women’s vulnerability and their coping mechanism living in flood prone areas: A case study of Belkuchi Upazila, Sirajganj. Serbian Science Today, 2(1), 35–43.

70. Mančić, T. (2025). Climate change as a security challenge, risk and threat of the 21st century and its consequences on critical infrastructure. International Journal of Contemporary Security Studies, 1(1), 191–204. https://doi.org/10.18485/fb_ijcss.2025.1.1.14

71. Milenković, D. (2025). Theoretical, institutional and organizational aspects of the integrated disaster risk reduction system: Towards a deeper understanding of disaster resilience in Serbia. International Journal of Contemporary Security Studies, 1(1), 175–190. https://doi.org/10.18485/fb_ijcss.2025.1.1.13

72. Milenković, D. ., Cvetković, V. M., & Renner, R. (2024). A Systematic Literary Review on Community Resilience Indicators: Adaptation and Application of the BRIC Method for Measuring Disasters Resilience . International Journal of Disaster Risk Management, 6(2), 79–104. https://doi.org/10.18485/ijdrm.2024.6.2.6

73. Nikey, R. (2024). Digital landscape and women entrepreneurship development in Bangladesh (Doctoral dissertation, Brac University). http://hdl.handle.net/10361/24750

74. Noor, S., & Hoque, M. (2021). Access to mobile phones and women’s socio-economic empowerment in rural areas of Bangladesh: Understanding gender relation transformation. Indonesian Journal of Social Research (IJSR), 3(1), 1-16. https://doi.org/10.30997/ijsr.v2i3.105

75. Onimisi, T. (2025). Improved security and education: Pathways to national development. International Journal of Contemporary Security Studies, 1(1), 205–212. https://doi.org/10.18485/fb_ijcss.2025.1.1.15

76. Perić, J., & Cvetković, V. M. (2019). Demographic, socio-economic and phycological perspective of risk perception from disasters caused by floods: case study Belgrade. International Journal of Disaster Risk Management, 1(2), 31–45. https://doi.org/10.18485/ijdrm.2019.1.2.3

77. Popović, M., & Cvetković, V. (2012). Žene u mirovnim operacijama i odlučivanju u sektoru bezbednosti [Women in peacekeeping operations and decision-making in the security sector]. Kultura – Polis, 1(1), 201–214.

78. Rahman, M. A., & Parvin, R. A. (2024). Advancing Bangladesh’s digital transition: From digital foundations to technological leadership. Technological Innovation and Emerging Operational Applications in Digital Earth, https://doi.org/10.20944/preprints202410.0441.v1

79. Rahman, M. S., Haque, M. E., Afrad, M. S. I., Hasan, S. S., & Rahman, M. A. (2023). Impact of mobile phone usage on empowerment of rural women entrepreneurs: Evidence from rural Bangladesh. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21604

80. Rana, M., & Rahman, A. (2022). Attitude of citizens towards e-government services in digital Bangladesh. Dhaka University Journal of Management, 161-189. https://doi.org/10.57240/DUJMJUNE11

81. Rashid, A. T. (2016). Digital inclusion and social inequality: Gender differences in ICT access and use in five developing countries. Gender, Technology and Development, 20(3), 306-332. https://doi.org/10.1177/0971852416660651

82. Renner, R., & Mayr-Veselinovic, C. (2025). Social License to Operate: Where Are You? The Role of Risk Communication in Raw Material Extraction. International Journal of Contemporary Security Studies, 1(1), 49–74. https://doi.org/10.18485/fb_ijcss.2025.1.1.5

83. Sarker, A. (2020). ICT for women’s empowerment in rural Bangladesh (Doctoral dissertation, Monash University).

84. Siddiquee, M. S. H., & Islam, M. S. (2024). Factors determining the first and second level of digital divide in rural Bangladesh. SN Social Sciences, 4(10), 189. https://doi.org/10.1007/s43545-024-00988-5

85. Sudar, S., Cvetković, V. M., & Ivanov, A. (2024). Harmonization of Soft Power and Institutional Skills: Montenegro’s Path to Accession to the European Union in the Environmental Sector . International Journal of Disaster Risk Management, 6(1), 41–74. https://doi.org/10.18485/ijdrm.2024.6.1.4

86. Sultana, S., Guimbretière, F., Sengers, P., & Dell, N. (2018, April). Design within a patriarchal society: Opportunities and challenges in designing for rural women in Bangladesh. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-13). https://doi.org/10.1145/3173574.3174110

87. Sultana, S., Mandel, I., Hasan, S., Alam, S. R., Mahmud, K. R., Sultana, Z., & Ahmed, S. I. (2021, June). Opaque obstacles: The role of stigma, rumor, and superstition in limiting women’s access to computing in rural Bangladesh. In Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies (pp. 243-260). https://doi.org/10.1145/3460112.3471960

88. Tasnima, T., Abu Bakar Ah, S. H., Padzil, R., & Md Syed, M. A. (2024). It’s a men’s world: Influence of media literacy for women’s empowerment through social media engagement in Bangladesh. Information Development. https://doi.org/10.1177/02666669241303723

89. Ullah, M. S. (2017). Empowerment of the rural poor through access to ICT: A case study of the union information and service center initiative in Bangladesh. Journal of Creative Communications, 12(2), 81-97. https://doi.org/10.1177/0973258617708366

90. Ullah, M. S. (2020). ICTs, power prejudice, and empowerment: Digital exclusion of the poor in rural Bangladesh. In Digital Inequalities in the Global South (pp. 103-133). https://doi.org/10.1007/978-3-030-32706-4_6

91. UNDP (2018). Human development report 2018: Digital transformation in Bangladesh. United Nations Development Programme.

92. UNDP. (2015). Gender, ICT, and development: Challenges for rural women.

93. UNDP. (2015). Impact of technology on education in rural Bangladesh.

94. UNDP. (2015). Internet for all: A global study of digital access.

95. UNESCO. (2015). Education for all 2015 national review Bangladesh. United Nations Educational, Scientific and Cultural Organization;

96. UNICEF. (2021). Barriers to internet access and digital skills for rural girls.

97. UNICEF. (2021). Digital learning for rural girls in Bangladesh.

98. UNICEF. (2021). Education and technology: A look at Bangladesh's rural women.

99. Vračević, N. (2025). Strategic roles of private military companies: The evolution and privatization of warfare in the context of contemporary global conflicts. International Journal of Contemporary Security Studies, 1(1), 163–174. https://doi.org/10.18485/fb_ijcss.2025.1.1.12

100. Waldman, L., Ahmed, T., Scott, N., Akter, S., Standing, H., & Rasheed, S. (2018). 'We have the internet in our hands': Bangladeshi college students’ use of ICTs for health information. Globalization and Health, 14, 1-16. https://doi.org/10.1186/s12992-018-0349-6

101. World Bank. (2016). ICT for education: Rural women’s experiences.

102. World Bank. (2016). The gender digital divide in Bangladesh.

103. World Bank. (2016). World Development Report 2016.

104. World Bank. (2016). World development report 2016: Digital dividends. World Bank Group; Bangladesh Government

105. World Bank. (2023). Bridging the gender digital divide in Bangladesh.

106. World Bank. (2023). Digital economy for Bangladesh: Trends and opportunities. World Bank Group;

107. World Bank. (2023). Digital skills for rural students in Bangladesh.

108. World Bank. (2023). Global information technology report.

Differential Risk and the Elements of Resilience: A Framework for Advancing Disaster Risk Reduction

Authors

Rhinadel Canete, Rustico “Rusty” Biñas

Abstract

Traditional Disaster Risk Reduction (DRR) models often cconceptualize risk as a uniform condition affecting populations and assets equally. This article challenges that paradigm by introducing the concept of differential risk—a framework that recognizes risk as a variable, context-specific phenomenon experienced at distinct, quantifiable levels by various elements at risk. These elements—ranging from individual lives and livelihoods to infrastructure and ecosystems—possess differing capacities to withstand and recover from hazards, even under identical physical impacts. The core argument is that an element’s intrinsic capacity to survive and bounce forward, together with the state of support systems and structures (its “resilience capacity”), fundamentally determines its risk profile. By integrating this understanding into DRR practice allows for a shift from generalized, top-down approaches towards more precise, capacity-based strategies that yield nuanced, targeted, and ultimately more effective risk-informed plans and solutions. The paper elaborates the theoretical foundations of differential risk and presents a practical framework for its application in DRR policy, planning, and implementation.

Keywords

differential risk, vulnerability, capacity, disaster risk reduction, resilience, climate change , adaptation, hazard, preparedness

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 209-238
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Canete, R., & Biñas, R. “Rusty”. (2025). Differential Risk and the Elements of Resilience: A Framework for Advancing Disaster Risk Reduction. International Journal of Disaster Risk Management, 7(2), 209-238. https://doi.org/10.18485/ijdrm.2025.7.2.12

References

1. Alexander, D. E. (2014). Disaster Resilience and Its Discontents. UCL Press.

2. Biñas, R. (2018). The Resilience Paradigm: Facts for Transformation. Retrieved from https://reliefweb.int/report/world/resilience-paradigm-facts-transformation-resilience-specificity

3. Biñas, R., & Mercado, E. (2024). The Philippines’ Enhancing Resilient Communities and Inter-agency Collaboration and Interoperability: Systems Wide Risk-Informed Sustainable Goal. Report for European Union Delegation of the Philippines/CAPA-Emerging Markets Int’l, s.a.(CAPA-EMI), August 2024. Retrieved from https://reliefweb.int/report/philippines/philippines-enhancing-resilient-communities-and-inter-agency-collaboration-and-interoperability-systems-wide-risk-informed-sustainable-goal

4. Biñas, Rustico and Mercado, Elmer (2024). Risk-Informed Local Governance for Enhancing Resilient Communities: Training Facilitator’s Manual (Lot n° 1: Sustainable Management of Natural Resources and Resilience Organisation and Methodology/SIEA- 2018-22532 Title: TA Support to the Philippines in the field of Disaster Risk Reduction, with a focus on the ERC Flagship Initiative), European Union Delegation of the Philippines/CAPA-Emerging Markets Int’l, s.a.(CAPA-EMI), October 2024. Retrieved from https://reliefweb.int/report/philippines/risk-informed-local-governance-enhancing-resilient-communities-training-facilitators-manual

5. Birkmann, J., & von Teichman, K. (2010). "Integrating disaster risk reduction and climate change adaptation: Conceptual issues and practical implications." In G. H. P. H. Eakin (Eds.), Integrating Disaster Risk Reduction and Climate Change Adaptation (pp. 53-74). Springer. This work delves into the practical and conceptual challenges of integration, emphasizing the need to align on spatial and temporal scales, knowledge systems, and norms.

6. Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (1994). At Risk: Natural Hazards, People's Vulnerability and Disasters. Routledge.

7. Cardona, O.D., van Aalst, M.K., Birkmann, J., Fordham, M., McGregor, G., Perez, R., Pulwarty, R.S., Schipper, E.L.F., & Sinh, B.T. (2012). Determinants of risk: exposure and vulnerability. In Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge University Press.

8. Cañete, R. M., Lisay, S. K., & Sayadat Mahmud, M. N. (2025). Project DINGGIN: Empowering Communities through Risk-Based and Inclusive Cash Transfer in Disaster-Prone Areas in Bangladesh and Philippines. International Journal of Disaster Risk Management, 7(1), 339–366. https://doi.org/10.18485/ijdrm.2025.7.1.20

9. Charles C Thomas Publisher. Peck, A. J., Adams, S. L., Armstrong, A., Bartlett, A. K., Bortman, M. L., Branco, A. B., Brown, M. L., Donohue, J. L., Kodis, M., McCann, M. J., & Smith, E. (2022). A new framework for flood adaptation: introducing the Flood Adaptation Hierarchy. Ecology and Society, 27(4).

10. Cvetković, V. M., Renner, R., & Jakovljević, V. (2024). Industrial Disasters and Hazards: From Causes to Consequences — A Holistic Approach to Resilience. International Journal of Disaster Risk Management, 6(2), 149–168.

11. Cutter, S. L. (1996). Vulnerability to Environmental Hazards. Progress in Human Geography, 20(4), 529-539.

12. Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & DeMers, J. (2008). A place-based model for understanding community resilience to disasters. Global Environmental Change Part B: Environmental Hazards, 8(1), 59-68.

13. Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to disaster. Global Environmental Change Part B: Environmental Hazards, 8(3), 133–140.

14. Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding disaster resilience. Global Environmental Change Part B: Environmental Hazards, 8(3), 107-117. doi:https://doi.org/10.1016/j.envhaz.2009.07.001

15. Cvetković, V. M., & Šišović, V. (2024). Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts. Sustainability, 16(7), 2620.

16. Gallopín, G. C. (2006). Linkages between vulnerability, resilience, and adaptive capacity. Global Environmental Change, 16(3), 293-303.

17. Hagelsteen, M., & Becker, P. (2019). Systemic problems of capacity development for disaster risk reduction in a complex, uncertain, dynamic, and ambiguous world. International Journal of Disaster Risk Reduction, 36, 101102.

18. International Institute of Rural Reconstruction & Cordaid. (2007). Building Resilient Communities: A Training Manual for Disaster Risk Reduction. Cavite, Philippines: International Institute of Rural Reconstruction; The Hague, Netherlands: Cordaid.

19. Intergovernmental Panel on Climate Change (IPCC). (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX). Cambridge University Press. This special report provides a comprehensive analysis of the links between extreme weather and climate events and disasters, emphasizing the role of both exposure and vulnerability. It is a cornerstone for understanding the scientific basis of the DRR-CCA nexus.

20. Karim, A., & Noy, I. (2015). The (mis)allocation of public spending in a low-income country: Evidence from disaster risk reduction spending in Bangladesh. Journal of Development Economics, 117, 106-118.

21. Kelman, I. (2015). "Disaster diplomacy: How disasters can (and cannot) promote cooperation." Journal of Contingencies and Crisis Management, 23(1), 22-30. Kelman's work, while focused on a specific aspect, has contributed to the broader academic discourse on the conceptual and practical linkages between DRR and CCA.

22. Lavell, A., Oppenheimer, M., Diop, C., Hess, J., Lempert, R., Li, J., Muir-Wood, R., & Myeong, S. (2012). Climate change: new dimensions in disaster risk, exposure, vulnerability, and resilience. In Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. Cambridge University Press.

23. Milenković, D., Cvetković, V. M., & Renner, R. (2024). A Systematic Literary Review on Community Resilience Indicators: Adaptation and Application of the BRIC Method for Measuring Disaster Resilience. International Journal of Disaster Risk Management, 6(2), 79–104.

24. Nikolić, N., Cvetković, V. M., Renner, R., Cvijović, N., & Gačić, J. (2025). Disaster Risk Perception and Local Resilience near the ‘Duboko’ Landfill: Challenges of Governance, Management, Trust, and Environmental Communication in Serbia. Open Geosciences, 17(1).

25. Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., & Pfefferbaum, R. L. (2008). Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American Journal of Community Psychology, 41(1-2), 127–150.

26. Oliver-Smith, A., Alcántara-Ayala, I., O'Keefe, P., & Wisner, B. (2016). Catastrophe & Culture: The Anthropology of Disaster. Routledge.

27. Paton, D., & Johnston, D. (Eds.). (2006). Disaster Resilience: An Integrated Approach.

28. Pelling, M. (2003). The Vulnerability of Cities: Natural Disasters and Social Resilience. Earthscan.

29. R Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268-281.

30. Schipper, L. F. A. (2009). "Disaster risk reduction and climate change adaptation: Are we starting to manage both together?" Disaster Risk Reduction and Climate Change Adaptation, 1(1), 1-13. This foundational paper highlights the commonalities between the two fields, particularly their shared focus on reducing vulnerability and enhancing adaptive capacity.

31. Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Sage Publications.

32. Twigg, J. (2004). Disaster Risk Reduction: Mitigation and Preparedness in Development and Emergency Programming. Overseas Development Institute (ODI).

33. UN-SPIDER. (n.d.). World Conference on Natural Disaster Reduction, Yokohama, Japan, May 1994. Retrieved from https://www.un-spider.org/info-portal/conferences/world-conference-natural-disaster-reduction-yokohama-japan-may-1994

34. United Nations International Strategy for Disaster Reduction (UNISDR). (2005). Hyogo Framework for Action 2005-2015: Building the Resilience of Nations and Communities to Disasters. Retrieved from https://www.unisdr.org/files/1037_hyogoframeworkforactionenglish.pdf

35. UNISDR (United Nations Office for Disaster Risk Reduction). (2015). Global Assessment Report on Disaster Risk Reduction (GAR) 2015. UNISDR.

36. UNISDR (United Nations Office for Disaster Risk Reduction). (2015). Sendai Framework for Disaster Risk Reduction 2015-2030. United Nations.

37. United Nations Office for Disaster Risk Reduction (UNDRR). (n.d.). History. Retrieved from https://www.undrr.org/our-work/history

38. United Nations Office for Disaster Risk Reduction (UNDRR). (2017). UNISDR Terminology: Elements at Risk. Retrieved from https://www.undrr.org/terminology/elements-risk

39. United Nations Office for Disaster Risk Reduction (UNDRR). (2017). Sendai Framework for Disaster Risk Reduction 2015-2030. Geneva, Switzerland.

40. United Nations Office for Disaster Risk Reduction (UNDRR). (2025). Climate change as a disaster risk driver. PreventionWeb.net. This source highlights how climate change is altering the frequency and intensity of hazards, and how it is increasing the vulnerability and eroding the resilience of exposed populations.

41. Wisner, B., Blaikie, P., Cannon, T., & Davis, I. (2004). At Risk: Natural Hazards, People's Vulnerability and Disasters. Routledge.

42. Wisner, B., Blaikie, P., Cannon, T., & Davis, I. (2004). At Risk: The Non-Physical Root Causes of Vulnerability. In Disaster Risk Management and Social Vulnerability (pp. 37-52). Springer, Berlin, Heidelberg.

COSI-SAFE: A GIS-Based Multi-Criteria Framework for Evaluating Urban Open Space Suitability for Post-Earthquake Emergency Sheltering

Authors

Nazma Ahmed, Md. Shahidul Islam

Abstract

Emergency response preparedness is a critical component of comprehensive earthquake risk management. The selection of suitable sites for post-disaster emergency sheltering during the response phase is central to effective contingency planning in densely populated urban areas. However, conventional planning often relies on ad-hoc methods that fail to systematically balance competing suitability factors. We propose COSI-SAFE, a Comprehensive Open Space Suitability Index (COSI)-based Suitability Assessment for Emergency-sheltering (SAFE) framework that evaluates the suitability of open spaces for temporary shelter establishment in the immediate aftermath of an earthquake in a densely populated urban area (Mirpur area in Dhaka City, Bangladesh), utilizing a GIS-based multi-criteria decision-making (MCDM) approach. The evaluation framework defines suitability based on three key dimensions — quality, capacity, and accessibility. Quality indicators were derived from field surveys and secondary data sources. Capacity and accessibility assessments were conducted using spatial analysis tools, including network and proximity analysis in the ArcGIS platform. The Analytic Hierarchy Process (AHP) was applied to combine the three criteria and derive the COSI for the identified open spaces. The results indicate that most open spaces are either moderately or poorly suited for use as emergency shelters, with only a small fraction deemed highly favorable in a post-earthquake context. Specifically, 1.2% of the open spaces were found to be completely unsuitable, 23.5% had low suitability, 56.8% were moderately suitable, and only 18.5% were fairly suitable for temporary shelter establishment. When weighted by total open-space area rather than site counts, the distribution was: unsuitable 0.8%, low 18.0%, moderate 59.5%, and fair 21.7%, indicating that a limited number of large open spaces contribute disproportionately to the total available shelter area. The findings highlight the inadequacy of existing open spaces to accommodate potential sheltering demand, emphasizing the need for proactive planning in the studied region. Assuming a deterministic Mw 7.5 event and displacement rates of 80% for partially damaged and 100% for extensively damaged buildings, we estimate a shelter-seeking population of 576,678, of whom 242,381 (42.0%) could be accommodated within a 700 m walking radius at 1.7 m²/person. The developed methodology offers a replicable planning tool for policymakers, emergency managers, and responders to strengthen earthquake response preparedness and inform post-disaster response strategies in high-density, earthquake-prone urban areas.

Keywords

earthquake response, contingency planning, emergency shelter, open space suitability, Analytic Hierarchy Process (AHP), Geographic Information System (GIS)

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 169-192
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Ahmed, N., & Islam, M. S. (2025). COSI-SAFE: A GIS-Based Multi-Criteria Framework for Evaluating Urban Open Space Suitability for Post-Earthquake Emergency Sheltering. International Journal of Disaster Risk Management, 7(2), 169-192. https://doi.org/10.18485/ijdrm.2025.7.2.10

References

1. Albris, K., Lauta, K. C., & Raju, E. (2020). Disaster knowledge gaps: Exploring the interface between science and policy for disaster risk reduction in Europe. International Journal of Disaster Risk Science, 11(1), 1–12. https://doi.org/10.1007/s13753-020-00250-5

2. Anhorn, J., & Khazai, B. (2015). Open space suitability analysis for emergency shelter after an earthquake. Natural Hazards and Earth System Sciences, 15(4), 789–803. https://doi.org/10.5194/nhess-15-789-2015

3. Apu, N., & Das, U. (2021). Tectonics and earthquake potential of Bangladesh: A review. International Journal of Disaster Resilience in the Built Environment, 12(3), 295–307.

4. Bakhshi Lomer, A. R., Rezaeian, M., Rezaei, H., Lorestani, A., Mijani, N., Mahdad, M., Raeisi, A., & Arsanjani, J. J. (2023). Optimizing emergency shelter selection in earthquakes using a risk-driven large group decision-making support system. Sustainability, 15(5), 4019. https://doi.org/10.3390/su15054019

5. Bangladesh Bureau of Statistics (BBS). (2022). Population and Housing Census 2022: Preliminary report. Statistics and Informatics Division, Ministry of Planning, Government of Bangladesh.

6. Cañete, R. M., Lisay, & Mahmud, M. N. S. (2025). Project DINGGIN: Empowering Communities through Risk‐Based and Inclusive Cash Transfer in Disaster‐Prone Areas in Bangladesh and Philippines. International Journal of Disaster Risk Management, 7(1), 339-366.

7. Celik, E. (2024). Analyzing the shelter site selection criteria for disaster preparedness using best–worst method under interval type-2 fuzzy sets. Sustainability, 16(5), 2127. https://doi.org/10.3390/su16052127

8. Chandler, P. J. (2007). Environmental factors influencing the siting of temporary housing in Orleans Parish (Master’s thesis, Louisiana State University and Agricultural & Mechanical College).

9. Comprehensive Disaster Management Programme (CDMP). (2009). Earthquake contingency plan for Dhaka City. Ministry of Food and Disaster Management, Government of the People’s Republic of Bangladesh.

10. Cvetković, V. M., Ronan, K., Shaw, R., Filipović, M., Mano, R., Gačić, J., & Jakovljević, V. (2019). Household earthquake preparedness in Serbia: A study of selected municipalities. Acta Geographica, 59(2), 28–42.

11. Cvetković, V., & Planić, J. (2022). Earthquake Risk Perception in Belgrade: Implications for Disaster Risk Management. International Journal of Disaster Risk Management, 4(1), 69–88.

12. Da Silva, J. (2007). Quality and standards in post-disaster shelter. Structural Engineer, 85(14), 25.

13. Duan, M., Wu, D., Dong, B., & Zhang, L. (2016). Quantitatively measuring transportation network resilience under earthquake uncertainty and risks. American Journal of Civil Engineering, 4(4), 174–184. https://doi.org/10.11648/j.ajce.20160404.1

14. Economic and Social Commission for Asia and the Pacific (ESCAP). (2015). Disasters without borders: Regional resilience for sustainable development (Asia-Pacific Disaster Report 2015, ST/ESCAP/2730). United Nations Economic and Social Commission for Asia and the Pacific.

15. Federal Emergency Management Agency (FEMA). (2003). HAZUS®–MH MR1 Technical Manual. U.S. Department of Homeland Security.

16. Hossen, M. N., Nawaz, S., & Kabir, M. H. (2022). Flood research in Bangladesh and future direction: An insight from the last three decades. International Journal of Disaster Risk Management, 4(1), 15–41

17. Islam, A. B. M., Ahmad, S. I., & Al-Hussaini, T. (2010). Effect of isolation on buildings in Dhaka. In Proceedings of a Conference (March, pp. 465–472).

18. Islam, F. (2023). Anticipated role of Bangladesh Police in disaster management based on the contribution of Bangladesh Police during the COVID-19 pandemic. International Journal of Disaster Risk Management, 5(2), 45–56.

19. Jiao, H., & Feng, S. (2024). Towards resilient cities: Optimizing shelter site selection and disaster prevention life circle construction using GIS and supply-demand considerations. Sustainability, 16(6), 2345. https://doi.org/10.3390/su16062345

20. Ma, Y., Liu, B., Zhang, K., & Yang, Y. (2022). Incorporating multi-criteria suitability evaluation into multi-objective location–allocation optimization comparison for earthquake emergency shelters. Geomatics, Natural Hazards and Risk, 13(1), 2333-2355.

21. Ma, Y., Xu, W., Qin, L., & Zhao, X. (2019). Site selection models in natural disaster shelters: A review. Sustainability, 11(2), 399. https://doi.org/10.3390/su11020399

22. Manik, M. H. (2024). Demographic and socio-economic changes in Bangladesh: Evidence from the population census in 2022. Formosa Journal of Sustainable Research, 3, 29–38.

23. Mansouri, B., Nourjou, R., & Hosseini, K. A. (2008). Comprehensive GIS-based solution for road blockage due to seismic building collapse in Tehran. In The 14th World Conference on Earthquake Engineering (October, pp. 1–6).

24. Nowsheen, K. T. B., Takiya, T. K., Zohra, F. T., & Zaman, M. (2021). Identifying the gap between available and required open space for potential emergency assembly points (EAP) in Dhaka City: A case study of Mirpur area. International Journal of Latest Research in Humanities and Social Science (IJLRHSS), 4(10), 61–67.

25. Podder, M., Hasan, M. K., & Islam, M. J. (2022). Seismic vulnerability assessment of existing buildings by rapid visual screening method: A study on Ward 27 in Dhaka South City Corporation. International Journal of Disaster Risk Management, 4(2), 77–91.

26. Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill.

27. Soltani, A., Ardalan, A., Boloorani, A. D., Haghdoost, A., & Hosseinzadeh-Attar, M. J. (2015). Criteria for site selection of temporary shelters after earthquakes: A Delphi panel. PLOS Currents Disasters, 7. https://doi.org/10.1371/currents.dis.16f9730a13eaa68c0b0ecbed3c5b5990

28. Soltani, A., Ardalan, A., Boloorani, A. D., Haghdoost, A., & Hosseinzadeh-Attar, M. J. (2014). Site selection criteria for sheltering after earthquakes: A systematic review. PLOS Currents, 6. https://doi.org/10.1371/currents.dis.17ad1f98fb85be80785d0a81ced6a7a6

29. Sphere Project. (2011). Sphere handbook: Humanitarian charter and minimum standards in humanitarian response. https://spherestandards.org/handbook-2011/

30. SYNER-G Project. (2013). Systemic seismic vulnerability and risk analysis for buildings, lifeline networks and infrastructures safety gain: Reference report. European Commission, Seventh Framework Programme.

31. Tai, C., Lee, Y., & Lin, C. (2010). Urban disaster prevention shelter location and evacuation behavior analysis. Journal of Asian Architecture and Building Engineering, 9(1), 215–220. https://doi.org/10.3130/jaabe.9.215

32. Unal, M., & Uslu, C. (2016). GIS-based accessibility analysis of urban emergency shelters: The case of Adana City. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 95–101.

33. United Nations International Strategy for Disaster Reduction (UNISDR). (2013). Implementation of the Hyogo Framework for Action: Summary of reports 2007–2013. UNISDR.

34. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1–29. https://doi.org/10.1016/j.ejor.2004.04.028

35. Wang, Y., Han, Y., Luo, A., Xu, S., Chen, J., & Liu, W. (2024). Site selection and prediction of urban emergency shelter based on VGAE-RF model. Scientific Reports, 14(1), 14368.

36. Wright, K. C., & Johnston, D. M. (2010). Post-earthquake sheltering needs: How loss of structures and services affects decision making for evacuation. In 2010 New Zealand Society for Earthquake Engineering Conference Proceedings (Vol. 21, p. 23). Wellington, New Zealand.

37. Zaman, A. A., Sifty, S., Rakhine, N. J., Abdul, A., Amin, R., Khalid, M., Tanvir, M. H., Hasan, K., & Barua, S. (2018). Earthquake risks in Bangladesh and evaluation of awareness among the university students. Journal of Earth Science & Climatic Change, 9(7), 482.

38. Zhao, L., Li, H., Sun, Y., Huang, R., Hu, Q., Wang, J., & Gao, F. (2017). Planning emergency shelters for urban disaster resilience: An integrated location-allocation modeling approach. Sustainability, 9(11), 2098. https://doi.org/10.3390/su9112098

39. Zhou, J., Nie, G., & Liu, Y. (2024). Multi-criteria comparison analysis of spatial equity for emergency shelters in old and new urban districts: A case study in Wuhua District and Chenggong District of Kunming City, China. International Journal of Disaster Risk Reduction, 108, 104547.

A Comparative Analysis of Federal Emergency Management Systems: Evidence from the United States, Canada, Japan, Germany, and Australia

Authors

Vedant V. Pandya

Abstract

This paper examines how federal emergency management systems in the United States, Canada, Japan, Germany, and Australia differ in terms of governance arrangements, coordination mechanisms, and resilience-oriented practices. Using a qualitative, structured comparative case study design, it analyses legal frameworks, institutional architectures, funding mechanisms, and public engagement strategies across the five countries based on documentary analysis of legislation, policy frameworks, and peer-reviewed research. The analysis shows that all systems combine federal steering with subnational implementation. However, they vary significantly along four dimensions—centralization–decentralization, networked coordination, technological integration, and the role of volunteers and civil protection—resulting in distinct strengths and vulnerabilities. The study highlights transferable lessons for strengthening federal emergency management, including investing in multi-level resilience governance, institutionalized intergovernmental coordination, technology-enabled early warning, and sustained support for community-based and volunteer capacities.

Keywords

emergency management, disaster risk governance, federalism, resilience, intergovernmental coordination, comparative analysis

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 153-168
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Pandya, V. V. (2025). A Comparative Analysis of Federal Emergency Management Systems: Evidence from the United States, Canada, Japan, Germany, and Australia. International Journal of Disaster Risk Management, 7(2), 153-168. https://doi.org/10.18485/ijdrm.2025.7.2.9

References

1. Australian Disaster Preparedness Framework. (2018). Australian disaster preparedness framework: A guideline to develop the capabilities required for disasters. Department of Home Affairs.

2. Australian Disaster Preparedness Framework. (2018). Australian Disaster Preparedness Framework: A guideline to develop the capabilities required for disasters. Department of Home Affairs.

3. Australian Emergency Management Arrangements Handbook. (2022). Emergency management arrangements in Australia. Australian Institute for Disaster Resilience.

4. Australian Emergency Management Arrangements Handbook. (2022). Emergency management arrangements in Australia. Australian Institute for Disaster Resilience.

5. Beli, A., Renner, R., Cvetković, V. M., Ivanov, A., & Gačić, J. (2025). A cross-national study of disaster risk management: Strengths and weaknesses in Bulgaria, Romania, and Albania with reflections on Serbia. International Journal of Disaster Risk Management, 7(1).

6. Bundesministerium des Inneren. (2012). The crisis management system in Germany. Federal Office of Civil Protection and Disaster Assistance.

7. Cutter, S. L. (2016). Resilience to what? Resilience for whom? Geographical Journal, 182(2), 110–113.

8. Cvetković, V. M. (2023). A Predictive Model of Community Disaster Resilience based on Social Identity Influences (MODERSI). International Journal of Disaster Risk Management, 5(2), 57–80.

9. Federal Emergency Management Agency. (2012). Seismic performance assessment of buildings, Volume 1: Methodology (FEMA P-58-1). Federal Emergency Management Agency.

10. FEMA. (2018). FEMA P-58: Building performance-based seismic design. Federal Emergency Management Agency.

11. GAO. (2024). FEMA: Opportunities exist to address mission challenges and to address the increased workload. U.S. Government Accountability Office.

12. Goyal, N. (2019). Disaster governance and community resilience: The law and the role of SDMAs. International Journal of Disaster Risk Management, 1(2), 61–75.

13. Guo, X., & Kapucu, N. (2019). Examining stakeholder participation in social stability risk assessment for mega projects using network analysis. International Journal of Disaster Risk Management, 1(1), 1–31.

14. Hanspal, M. S., & Behera, B. (2024). Role of emerging technology in disaster management in India: An overview. International Journal of Disaster Risk Management, 6(2), 133–148.

15. Jevtić, M., Cvetković, V. M., Gačić, J., & Raonić, Z. (2025). Factors of vulnerability and resilience of persons with disabilities during disasters: Challenges and strategies for inclusive risk reduction. International Journal of Disaster Risk Management, 7(1).

16. Kapucu, N. (2006). Interagency communication networks during emergencies. American Review of Public Administration, 36(2), 207–225.

17. Knapp, H. (2020). Managing an administrative emergency: Establishing FEMA as an independent agency. Colorado Law Review.

18. McNeil, N. (2025). FEMA: A comprehensive history of U.S. emergency management. EMS1.

19. Milenković, D., Cvetković, V. M., & Renner, R. (2024). A Systematic Literary Review on Community Resilience Indicators: Adaptation and Application of the BRIC Method for Measuring Disasters Resilience . International Journal of Disaster Risk Management, 6(2), 79–104. https://doi.org/10.18485/ijdrm.2024.6.2.6

20. National Emergency Management Agency. (2023). Disaster recovery funding arrangements Australian Government.

21. Perls, H. (2025). Proposed changes to FEMA and the future of federal disaster response. Harvard Environmental Law Review.

22. Public Safety Canada. (2022). Emergency management in Canada. Public Safety Canada.

23. Sylves, R. T. (2008). Disaster policy and politics: Emergency management and homeland security. CQ Press.

24. Tierney, K. (2014). The social roots of risk: Producing disasters, promoting resilience. Stanford University Press.

25. U.S. Congress. (1988). Robert T. Stafford Disaster Relief and Emergency Assistance Act.

26. U.S. Congress. (2006). Post-Katrina Emergency Management Reform Act.

27. Vidović, N., Cvetković, V. M., & Beriša, H. (2024). Optimising disaster resilience through advanced risk management and financial analysis of critical infrastructure in the Serbian defence industry. International Journal of Disaster Risk Management, 6(2), 183–200.

Community-Driven Risk Assessment: Integrating Local Perceptions into Quantifiable Risk Weights Using Analytical Hierarchy Process (AHP)-Geographical Information System (GIS)

Authors

Biswojit Kumar Roy, Md. Islamul Haque Shawon, Mohammad Mahdy Hasan

Abstract

This study integrates the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) to assess community flood risk in Maidipur, Kurigram, Bangladesh an area frequently affected by monsoon flooding. By combining community-based hazard and vulnerability indicators and satellite-derived hydrological, meteorological, and geological data, the research develops a Community Risk Map to identify and categorize hazard-prone zones. Fourteen indicators were ranked and weighted using AHP to generate hazard and vulnerability indices, which were then spatially overlaid in GIS to produce a composite flood risk map. Network also applied to identify optimal evacuation routes and assembly points based on shortest time travel and distance, avoid risk zone. Traditionally, practitioners relied on community perception and a limited set of factors for risk mapping. This study advances that approach by aligning local knowledge with scientific analysis, achieving a high accuracy rate (96.88%) validated through field visits and community engagement... The findings offer evidence- based insights for flood preparedness, shelter placement, and community resilience planning under the Disaster Risk Management framework.

Keywords

analytical hierarchy process (AHP), community risk mapping, hazard index and vulnerability index, remote sensing, transect walk, historical timeline, seasonal calendar, focus group discussion (FGD), key informant interview (KII), participatory rural appraisal (PRA), geographic information system (GIS)

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 131-152
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Roy, B. K., Shawon, M. I. H., & Hasan, M. M. (2025). Community-Driven Risk Assessment: Integrating Local Perceptions into Quantifiable Risk Weights Using Analytical Hierarchy Process (AHP)-Geographical Information System (GIS). International Journal of Disaster Risk Management, 7(2), 131-152. https://doi.org/10.18485/ijdrm.2025.7.2.8

References

1. Abdel Rahman Al-Shabeeb, R. A.-A. (2016). AHP with GIS for a preliminary site selection of wind turbines in the Northwest of Jordan. International Journal of Geosciences, 7(10), 1208–1221. https://doi.org/10.4236/ijg.2016.710090

2. Abdulla-Al Kafy, A.-A.-F. M. (2020). Impact of LULC changes on LST in Rajshahi District of Bangladesh: A remote sensing approach. Journal of Geographical Studies, 3(1), 11–23. https://doi.org/10.21523/gcj5.19030102

3. Abhishek Banerjee, R. C. (2020). An analysis of long-term rainfall trends and variability in the Uttarakhand Himalaya using Google Earth Engine. Remote Sensing, 12(4), 709. https://doi.org/10.3390/rs12040709

4. Borah, P. B., Das, S., & Hazarika, R. (2024). Flood risk assessment utilizing GIS-based AHP and MCDM approaches integrating local knowledge and community perception. Natural Hazards. https://doi.org/10.1007/s11069-024-07100-3

5. Chambers, R. (1994). Participatory rural appraisal (PRA): Analysis of experience. World Development, 22(9), 1253–1268.

6. Dang Tuyet Minh, N. B. (2018). Application of GIS technology to establish a drainage density hierarchical map for flood hazard zoning in Lam river basin. Journal of Mining and Earth Sciences, 59(6), 32–42. Retrieved from https://tapchi.humg.edu.vn/en/archives?article=1068

7. Daniela Rincon, U. T. (2018). Flood risk mapping using GIS and multi-criteria analysis: A Greater Toronto Area case study. Geosciences, 8(8), 275. https://doi.org/10.3390/geosciences8080275

8. Diego Alonso Arias-Choquehuanca, B. I.-N.-J. (2023). Flooding mapping detection and urban affectation using Google Earth Engine. Dyna, 90(229), 129–136. https://doi.org/10.15446/dyna.v90n229.109296

9. Elhadj Mokhtari, F. M. (2023). Flood risk assessment using analytical hierarchy process: A case study from the Cheliff-Ghrib watershed, Algeria. Journal of Water and Climate Change, 14(3), 694–711. https://doi.org/10.2166/wcc.2023.316

10. Ethiopia Bisrat, B. B. (2018). Identification of surface water storing sites using topographic wetness index (TWI) and normalized difference vegetation index (NDVI). Journal of Natural Resources and Development, 8, 91–100. https://doi.org/10.5027/jnrd.v8i0.09

11. Generino P. Siddayao, S. E. (2014). Analytic hierarchy process (AHP) in spatial modeling for floodplain risk assessment. International Journal of Machine Learning and Computing, 4(5), 2010–3700. https://doi.org/10.7763/IJMLC.2014.V4.453

12. Gowhar Meraj, S. A. (2015). Assessing the influence of watershed characteristics on the flood vulnerability of Jhelum basin in Kashmir Himalaya. Natural Hazards, 77(13), 153–175. https://doi.org/10.1007/s11069-015-1605-1

13. Hye-Kyoung Lee, W.-H. H.-H. (2019). Experimental study on the influence of water depth on the evacuation speed of elderly people in flood conditions. International Journal of Disaster Risk Reduction, 39, 101198. https://doi.org/10.1016/j.ijdrr.2019.101198

14. Kabir Uddin, M. A. (2021). Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology. Progress in Disaster Science, 11, 100185. https://doi.org/10.1016/j.pdisas.2021.100185

15. Melkamu Alebachew Anley, A. S. (2022). Assessing the impacts of land use/cover changes on ecosystem service values in Rib watershed, Upper Blue Nile Basin, Ethiopia. Trees, Forests and People, 7, 100212. https://doi.org/10.1016/j.tfp.2022.100212

16. Muhammad Masood, K. T. (2012). Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model. Natural Hazards, 12, 757–770. https://doi.org/10.1007/s11069-011-0060-x

17. Nsangou, D. (2022). Urban flood susceptibility modelling using AHP and GIS approach: Case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. Scientific African, 15, 1043. https://doi.org/10.1016/j.sciaf.2021.e01043

18. Peter W Glynn, J. M. (2001). Coral bleaching and mortality in Panama and Ecuador during the 1997–1998 El Niño-Southern Oscillation event: Spatial/temporal patterns and comparisons with the 1982–1983 event. Bulletin of Marine Science, 79, 79–109. Retrieved from https://www.researchgate.net/publication/233572646

19. Ravichandra N, Y. P. (2023). Change detection of NDVI in Sangareddy district using Google Earth Engine (GEE). The Pharma Innovation Journal, 12(11), 2189–2195. Retrieved from https://www.thepharmajournal.com/archives/?year=2023&vol=12&issue=11&ArticleId=24334

20. Robert C. Weih Jr, T. L. (2004). Modeling slope in a geographic information system. Journal of the Arkansas Academy of Science, 58, 18. Retrieved from https://scholarworks.uark.edu/jaas/vol58/iss1/18

21. Saaty, R. (1987). The analytic hierarchy process—What it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8

22. Seula Park, G. L. (2020). Flood evacuation mapping using a time–distance cartogram. International Journal of Geo-Information, 9(4), 207. https://doi.org/10.3390/ijgi9040207

23. Yashon O. Ouma, R. T. (2014). Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: Methodological overview and case study assessment. Water, 6(6), 1515–1545. https://doi.org/10.3390/w6061515.

Community-Based Disaster Risk Reduction: Overcoming Barriers to Build Stronger Communities

Authors

Vladimir M. Cvetković, Bojana Aleksova, Renate Renner, Jasmina Gačić, Aleksandar Ivanov, Srđan Milašinović

Abstract

Community-Based Disaster Risk Reduction (CBDRR) plays a vital role in strengthening local communities' resilience against natural hazards and man-made disasters. This paper aims to examine the role of CBDRR in enhancing the resilience of local communities to both natural hazards and man-made disasters. It emphasises the crucial importance of active community involvement throughout all stages of disaster management, from preparedness and mitigation to response and recovery. Furthermore, the paper also looks into the key factors that contribute to the successful implementation of CBDRR, including institutional support, capacity development, inclusive strategies, and modern technologies. Additionally, it discusses the challenges and opportunities in building strong partnerships between local communities and external stakeholders, which are essential for ensuring the sustainability of these efforts. Finally, the paper offers recommendations to improve the effectiveness of CBDRR initiatives, drawing on insights gained from past disaster experiences. The findings highlight the necessity of continuous monitoring and evaluation of CBDRR programmes to maintain their relevance and effectiveness as risks evolve. Incorporating lessons learned from past disasters into future planning also plays a crucial role in helping communities strengthen their resilience over time. Ultimately, by fostering collaboration between communities, governments, and various organisations, CBDRR lays the foundation for a comprehensive disaster management framework capable of meeting future challenges and supporting long-term sustainable development.

Keywords

disaster, CBDRR, community resilience, preparedness, capacity building, institutional support, participatory approach

Publication Details

Journal: International Journal of Disaster Risk Management
Year: 2025
Volume: 7
Issue: 2
Pages: 113-130
Published: 2025-12-24

DOI and Full Text

DOI: View DOI record
Article Page: View article page
PDF: Download full-text PDF

Suggested Citation

Cvetković, V. M., Aleksova, B., Renner, R., Gačić, J., Ivanov, A., & Milašinović, S. (2025). Community-Based Disaster Risk Reduction: Overcoming Barriers to Build Stronger Communities. International Journal of Disaster Risk Management, 7(2), 113-130. https://doi.org/10.18485/ijdrm.2025.7.2.7

References

1. Al Shafian, S., & Hu, D. (2024). Integrating Machine Learning and Remote Sensing in Disaster Management: A Decadal Review of Post-Disaster Building Damage Assessment. Buildings, 14(8), 2344.

2. Aleksandrina, M., Budiarti, D., Yu, Z., Pasha, F., & Shaw, R. (2019). Governmental Incentivization for SMEs’ Engagement in Disaster Resilience in Southeast Asia. International Journal of Disaster Risk Management, 1(1), 32-50.

3. Aleksova, B., Lukić, T., Milevski, I., Spalević, V., & Marković, S. B. (2023). Modelling water erosion and mass movements (wet) by using GIS-based multi-hazard susceptibility assessment approaches: a case study—Kratovska Reka Catchment (North Macedonia). Atmosphere, 14(7), 1139.

4. Aleksova, B., Milevski, I., Dragićević, S., & Lukić, T. (2024). GIS-based integrated multi-hazard vulnerability assessment in Makedonska Kamenica municipality, North Macedonia. Atmosphere, 15(7), 774.

5. Allen, K. M. (2006). Community‐based disaster preparedness and climate adaptation: local capacity‐building in the Philippines. Disasters, 30(1), 81-101.

6. Bang, H. N. (2013). Governance of disaster risk reduction in Cameroon: The need to empower local government. Jàmbá: Journal of Disaster Risk Studies, 5(2), 1-10.

7. Baruh, S., Dey, C., & Dutta, N. P. M. K. (2023). Dima Hasao, Assam (India) landslides’ 2022: A lesson learnt. International Journal of Disaster Risk Management, 5(1), 1–13.

8. Baudoin, M.-A., Henly-Shepard, S., Fernando, N., Sitati, A., & Zommers, Z. (2016). From top-down to “community-centric” approaches to early warning systems: Exploring pathways to improve disaster risk reduction through community participation. International Journal of Disaster Risk Science, 7, 163-174.

9. Bull-Kamanga, L., Diagne, K., Lavell, A., Leon, E., Lerise, F., MacGregor, H., . . . Reid, H. (2003). From everyday hazards to disasters: the accumulation of risk in urban areas. Environment and Urbanization, 15(1), 193-204.

10. Cannon, T. (2008). Vulnerability, “innocent” disasters and the imperative of cultural understanding. Disaster Prevention and Management, 17(3), 350-357. doi:https://doi.org/10.1108/09653560810887275

11. Carrara, A., Cardinali, M., Guzzetti, F., & Reichenbach, P. (1995). GIS technology in mapping landslide hazard. In Geographical information systems in assessing natural hazards (pp. 135-175): Springer.

12. Carrara, A., Guzzetti, F., Cardinali, M., & Reichenbach, P. (1999). Use of GIS technology in the prediction and monitoring of landslide hazard. Natural Hazards, 20, 117-135.

13. Chakma, S. (2023). Water Crisis in the Rangamati Hill District of Bangladesh: A Case Study on Indigenous Community. International Journal of Disaster Risk Management, 5(2), 29-44.

14. Copeland, S., Comes, T., Bach, S., Nagenborg, M., Schulte, Y., & Doorn, N. (2020). Measuring social resilience: Trade-offs, challenges and opportunities for indicator models in transforming societies. International Journal of Disaster Risk Reduction, 51, 101799.

15. Coppock, J. T. (1995). GIS and natural hazards: an overview from a GIS perspective. Geographical information systems in assessing natural hazards, 21-34.

16. Cvetković, V. (2016). The impact of the level of motivation on the preparedness of citizens of the Republic of Serbia to respond to natural disaster caused by flood. Vojno delo, 68(3), 141-171.

17. Cvetković, V. (2024). Disaster Risk Management: Scientific-Professional Society for Disaster Risk Management.

18. Cvetković, V. (2024). Essential Tactics for Disaster Protection and Rescue. In: Scientific-Professional Society for Disaster Risk Management, Belgrade.

19. Cvetković, V., & Filipović, M. (2018). Koncept otpornosti na katastrofe - Theory of disaster resilience. ECOLOGICA, 25(89), 202-207.

20. Cvetković, V., Kevin, R., Shaw, R., Filipović, M., Mano, R., Gačić, J., & Jakovljević, V. (2019). Household earthquake preparedness in Serbia – a study from selected municipalities. Acta Geographica, 59(1), In press.

21. Cvetković, V., Lipovac, M., & Milojković, B. (2016). Knowledge of secondary school students in Belgrade as an element of flood preparedness. Journal for social sciences, TEME, 15(4), 1259-1273.

22. Cvetković, V., & Milašinović, S. (2017). Theory of vulnerability and disaster risk reduction. Kultura Polisa, 33(2), 217-228.

23. Cvetković, V., Nikolić, N., Nenadić, R. U., Ocal, A., & Zečević, M. (2020). Preparedness and Preventive Behaviors for a Pandemic Disaster Caused by COVID-19 in Serbia. International Journal of Environmental Research and Public Health, 17(11), 4124.

24. Cvetković, V., Roder, G. O. A., Tarolli, P., & Dragićević, S. (2018). The Role of Gender in Preparedness and Response Behaviors towards Flood Risk in Serbia. Int. J. Environ. Res. Public Health, 15(12), 2761.

25. Cvetković, V., & Šišović, V. (2024). Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts. Sustainability, 16(7), 2620.

26. Cvetković, V. (2018). Public perception of preparedness for biospheric disasters caused by epidemics: Implications for the risk management process. Bezbednost, Beograd, 60(3), 5-25.

27. Cvetković, V. (2024a). Empowering the Regional Network of Experts for Disaster Risk Management in the Western Balkans by the Scientific-Professional Society for Disaster Risk Management.

28. Cvetković, V. (2024b). In-Depth Analysis of Disaster (Risk) Management System in Serbia: A Critical Examination of Systemic Strengths and Weaknesses.

29. Cvetković, V., Dragašević, A., Protić, D., Janković, B., Nikolić, N., & Milošević, P. (2022). Fire safety behavior model for residential buildings: Implications for disaster risk reduction. International Journal of Disaster Risk Reduction, 102981. doi:https://doi.org/10.1016/j.ijdrr.2022.102981

30. Cvetković, V., & Filipović, B. (2020). The survey of citizen attitudes toward preparedness for disasters caused by wildfires: Case study: Prijepolje. Žurnal za bezbjednost i kriminalistiku, 2(2), 11-24.

31. Cvetković, V., Renner, R., Lukić, T., & Aleksova, B. (2024). Geospatial and Temporal Patterns of Natural and Man-made (Technological) Disasters (1900-2024): Insights from Different Perspectives.

32. Cvetković, V., & Šišović, V. (2024). Community Disaster Resilience in Serbia. In: Scientific-Professional Society for Disaster Risk Management, Belgrade.

33. Cvetković, V., & Svrdlin, M. (2020). The vulnerability of women from the consequences of a natural disaster: A case study of Svilajnac. Bezbednost, Beograd, 62(3), 43-61.

34. Cvetković, V., Tanasić, J., Ocal, A., Kešetović, Ž., Nikolić, N., & Dragašević, A. (2021). Capacity Development of Local Self-Governments for Disaster Risk Management. International Journal of Environmental Research and Public Health, 18(19), 10406.

35. Daud, M., Ugliotti, F. M., & Osello, A. (2024). Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review. Sustainability, 16(10), 4238.

36. Dhyani, S., Karki, M., & Gupta, A. K. (2020). Opportunities and advances to mainstream nature-based solutions in disaster risk management and climate strategy. Nature-based solutions for resilient ecosystems and societies, 1-26.

37. El-Mougher, M. M., Abu Sharekh, D. S. A. M., Abu Ali, M. R. F., & Zuhud, D. E. A. A. M. (2023). Risk Management of Gas Stations that Urban Expansion Crept into in the Gaza Strip. International Journal of Disaster Risk Management, 5(1), 13-27.

38. Etinay, N., Egbu, C., & Murray, V. (2018). Building urban resilience for disaster risk management and disaster risk reduction. Procedia engineering, 212, 575-582.

39. Faivre, N., Sgobbi, A., Happaerts, S., Raynal, J., & Schmidt, L. (2018). Translating the Sendai Framework into action: The EU approach to ecosystem-based disaster risk reduction. International Journal of Disaster Risk Reduction, 32, 4-10.

40. Fernandez, G., Uy, N., & Shaw, R. (2012). Chapter 11 Community-Based Disaster Risk Management Experience of the Philippines. In Community-based disaster risk reduction (pp. 205-231): Emerald Group Publishing Limited.

41. Fu, Q., & Zhang, X. (2024). Promoting community resilience through disaster education: Review of community-based interventions with a focus on teacher resilience and well-being. PLoS one, 19(1), e0296393.

42. Gacic, J. M., & Micovic, M. (2020). New Approaches for Planning the Resilient Cities. Kultura Polisa, 17, 417.

43. Gero, A., Méheux, K., & Dominey-Howes, D. (2011). Integrating community based disaster risk reduction and climate change adaptation: examples from the Pacific. Natural Hazards and Earth System Sciences, 11(1), 101-113.

44. Goyal, N. (2019). Disaster governance and community resilience: The law and the role of SDMAs. International Journal of Disaster Risk Management, 1(2), 61-75.

45. Grozdanić, G., & Cvetković, M. V. (2024). Exploring Multifaceted Factors Influencing Community Resilience to Earthquake-Induced Geohazards: Insights from Montenegro. In: Scientific-Professional Society for Disaster Risk Management, Belgrade.

46. Haque, C. E., Khan, S. A., & Choudhury, M. (2024). Role of multi-level institutions in facilitating innovation and adaptation technologies for reducing climate risk and impact: Evidence from coastal communities of Bangladesh. International Journal of Disaster Risk Reduction, 111, 104669.

47. Heijmans, A. (2009). The social life of community-based disaster risk reduction: origins, politics and framing.

48. Hochrainer-Stigler, S., Velev, S., Laurien, F., Campbell, K., Czajkowski, J., Keating, A., & Mechler, R. (2021). Differences in the dynamics of community disaster resilience across the globe. Scientific reports, 11(1), 1-12.

49. Iftikhar, A., & Iqbal, J. (2023). The Factors responsible for urban flooding in Karachi (A case study of DHA). International Journal of Disaster Risk Management, 5(1), 81-103.

50. Islam, F. (2023). Anticipated Role of Bangladesh Police in Disaster Management Based on the Contribution of Bangladesh Police during the Pandemic COVID 19. International Journal of Disaster Risk Management, 5(2), 45-56.

51. Izumi, T., Shaw, R., Djalante, R., Ishiwatari, M., & Komino, T. (2019). Disaster risk reduction and innovations. Progress in Disaster Science, 2, 100033.

52. Jha, D. (2020). Indicator-based assessment of integrated flood vulnerability index for Brunei Darussalam. International Journal of Disaster Risk Management, 2(2).

53. Kabir, M. H., Hossain, T., & Haque, M. W. (2022). Resilience to natural disasters: A case study on southwestern region of coastal Bangladesh. International Journal of Disaster Risk Management, 4(2), 91-105.

54. Kemp, R. L. (2007). Assessing the vulnerability of buildings. Disaster Prevention and Management, 16(4), 611-618. doi:https://doi.org/10.1108/09653560710817075

55. Khan, I. U., Ouaissa, M., Ouaissa, M., Fayaz, M., & Ullah, R. (2024). Artificial Intelligence for Intelligent Systems: Fundamentals, Challenges, and Applications.

56. Kong, T. M., de Villiers, A. C., Ntloana, M. B., Pollard, S., & Vogel, C. (2020). Implementing capacity development for disaster risk reduction as a social learning system. International Journal of Disaster Risk Reduction, 50, 101740.

57. Lall, S. V., & Deichmann, U. (2012). Density and disasters: economics of urban hazard risk. The World Bank Research Observer, 27(1), 74-105.

58. Lansakara, D. C., Dé, L. L., Petterson, M., & Wickramasinghe, D. (2023). The potential for community-driven ecosystem-based disaster risk reduction in South Asia: a literature review. Disaster Prevention and Management: An International Journal. doi:https://doi.org/10.1108/dpm-06-2023-0128

59. Lukić, T., Gavrilov, M. B., Marković, S. B., Komac, B., Zorn, M., Mlađan, D., . . . Vujičić, M. D. (2013). Classification of natural disasters between the legislation and application: experience of the Republic of Serbia. Acta geographica Slovenica-Geografski zbornik, 53(1), 150-164.

60. MacAskill, K. (2019). Public interest and participation in planning and infrastructure decisions for disaster risk management. International Journal of Disaster Risk Reduction. doi:https://doi.org/10.1016/J.IJDRR.2019.101200

61. Malalgoda, C., Amaratunga, D., & Pathirage, C. (2010). Role of local governments in disaster risk reduction. In: RICS.

62. Mano, R., A, K., & Rapaport, C. (2019). Earthquake preparedness: A Social Media Fit perspective to accessing and disseminating earthquake information. 1(2), In press.

63. Maskrey, A. (1989). Disaster mitigation: a community based approach: Oxfam GB.

64. Milevski, I., Aleksova, B., Lukić, T., Dragićević, S., & Valjarević, A. (2024). Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia. Open Geosciences, 16(1), 20220718.

65. Milevski, I., Dragicevic, S., & Georgievska, A. (2013). GIS and RS-based modelling of potential natural hazard areas in Pehchevo municipality, Republic of Macedonia. Journal of the Geographical Institute" Jovan Cvijic", SASA, 63(3 Conference Issue), 95-107.

66. Milevski, I., Dragicevic, S., & Radevski, I. (2017). GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia.

67. Nayak, S., & Zlatanova, S. (2008). Remote sensing and GIS technologies for monitoring and prediction of disasters: Springer.

68. Nguyen, V. N., Ginige, K., & Greenwood, D. (2018). Challenges in integrating disaster risk reduction into the built environment–The Vietnam context. Procedia engineering, 212, 316-323.

69. Niboye, E., & Farai, N. (2020). The Need of Linking Local Community and National Disaster Risk Reduction Strategies for Effective Disaster Mitigation: Lessons from Zimbabwe. Research on Humanities and Social Sciences. doi:https://doi.org/10.7176/rhss/10-2-09

70. Nkombi, Z., & Wentink, G. (2022). The Role of Public Participation in Disaster Risk Reduction Initiatives: The Case of Katlehong Township. Jàmbá: Journal of Disaster Risk Studies, 14. doi:https://doi.org/10.4102/jamba.v14i1.1203

71. Nkombi, Z., & Wentink, G. J. (2022). The Role of Public Participation in Disaster Risk Reduction Initiatives: The Case of Katlehong Township. Jàmbá-Journal of Disaster Risk Studies, 14(1), 1203.

72. Rajani, A., Tuhin, R., & Rina, A. (2023). The Challenges of Women in Post-disaster Health Management: A Study in Khulna District. International Journal of Disaster Risk Management, 5(1), 51-66.

73. RajeevM, M. (2014). Sustainability and Community Empowerment in Disaster Management. International Journal of Social Work and Human Services Practice, 2, 207-212. doi:https://doi.org/10.13189/IJRH.2014.020601

74. Razak, S., Hignett, S., & Barnes, J. (2018). Emergency Department Response to Chemical, Biological, Radiological, Nuclear, and Explosive Events: A Systematic Review. Prehospital and disaster medicine, 33(5), 543-549. doi:https://doi.org/10.1017/S1049023X18000900

75. Rifat, S. A. A., & Liu, W. (2020). Measuring community disaster resilience in the conterminous coastal United States. ISPRS International Journal of Geo-Information, 9(8), 469.

76. Sergey, K., & Gennadiy, N. (2022). Methodology for the risk monitoring of geological hazards for buildings and structures. International Journal of Disaster Risk Management, 4(1), 41-49.

77. Shaw, R. (2003). Sustainability in grass-roots initiatives: focus on community based disaster management. (No Title).

78. Shaw, R. (2012). Community-Based Disaster Risk Reduction. doi:https://doi.org/10.1093/acrefore/9780199389407.013.47

79. Shaw, R. (2014). Disaster Risk Reduction and Community Approaches. 3-20. doi:https://doi.org/10.1007/978-4-431-54246-9_1

80. Shaw, R. (2014). Disaster risk reduction and community approaches. Community practices for disaster risk reduction in Japan, 3-20.

81. Spiekermann, R., Kienberger, S., Norton, J., Briones, F., & Weichselgartner, J. (2015). The Disaster-Knowledge Matrix–Reframing and evaluating the knowledge challenges in disaster risk reduction. International Journal of Disaster Risk Reduction, 13, 96-108.

82. Starosta, D. (2023). Raised Under Bad Stars: Negotiating a culture of disaster preparedness. International Journal of Disaster Risk Management, 5(2), 1-16.

83. Sudar, S., Cvetković, V., & Ivanov, A. (2024). Harmonization of Soft Power and Institutional Skills: Montenegro’s Path to Accession to the European Union in the Environmental Sector. International Journal of Disaster Risk Management, 6(1), 41-74.

84. Tanasić, J., & Cvetković, V. (2024). The Efficiency of Disaster and Crisis Management Policy at the Local Level: Lessons from Serbia. In: Scientific-Professional Society for Disaster Risk Management, Belgrade.

85. Tiernan, A., Drennan, L., Nalau, J., Onyango, E., Morrissey, L., & Mackey, B. (2019). A review of themes in disaster resilience literature and international practice since 2012. Policy design and practice, 2(1), 53-74.

86. Titz, A., Cannon, T., & Krüger, F. (2018). Uncovering ‘community’: Challenging an elusive concept in development and disaster related work. Societies, 8(3), 71.

87. Tuladhar, G., Yatabe, R., Dahal, R. K., & Bhandary, N. P. (2015). Disaster risk reduction knowledge of local people in Nepal. Geoenvironmental Disasters, 2, 1-12.

88. Vicarelli, M., Sudmeier-Rieux, K., Alsadadi, A., Shrestha, A., Schütze, S., Kang, M., . . . Mysiak, J. (2024). On the cost-effectiveness of Nature-based Solutions for reducing disaster risk. Science of the Total Environment, 174524.

89. Vidović, N., Beriša, H., & Cvetković, V. (2024). Optimising Disaster Resilience Through Advanced Risk Management and Financial Analysis of Critical Infrastructure in the Serbian Defence Industry. Preprints, 2024071228.

90. Witvorapong, N., Muttarak, R., & Pothisiri, W. (2015). Social Participation and Disaster Risk Reduction Behaviors in Tsunami Prone Areas. PLoS ONE, 10. doi:https://doi.org/10.1371/journal.pone.0130862

91. Wu, J., Yang, S., Wang, W., & Jaeger, C. (2022). How effective are community‐based disaster reduction strategies? Evidence from the largest‐scale program so far. Risk analysis, 43, 1667-1681. doi:https://doi.org/10.1111/risa 14043

92. Zareian, M. (2023). Social capitals and earthquake: A Study of different districts of Tehran, Iran. International Journal of Disaster Risk Management, 5(2), 17-28.

93. Zubir, S., & Amirrol, H. (2011). Disaster risk reduction through community participation. 148, 195-206. doi:https://doi.org/10.2495/RAV110191

94. Zubir, S. S., & Amirrol, H. (2011). Disaster risk reduction through community participation. WIT Transactions on Ecology and the Environment, 148, 195-206.

Implementation of Disaster Risk Reduction and Management

Authors Henderson K. Balanggoy Abstract The high mortality rates resulting from the disaster have led to significant losses. This study is ...

Translate