Evacuating Populations with Special Needs Using Analytical Hierarchy Process (AHP) Method and GIS
- 1 School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece
- 2 School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece
- 3 School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece
Abstract
The present study is focused on the development of a methodology pertaining to the evacuation plans improvement in a scenario where infrastructures are located in residential settlements that might be threatened by fires; the aforesaid settlements are oftentimes found to be resided by vulnerable population groups, namely elderly people, handicapped people and children. The study pinpoints Evacuation Assembly Points (E.A.P.s) on the outskirts of their settlement and examines the evacuation routes accessibility and safety by way of utilizing Geographic Information Systems (GISs). What is more, our meticulously planned methodology combining quantitative analysis, as well as participatory planning, allows for improve strategies targeted on how to effectively ensure the vulnerable population groups evacuation. The study’s results exhibit how vital it is to integrate technological tools in combination with each community’s partaking in the process of preparing and implementing evacuation plans. The study’s findings furthermore suggest the need to further research the evolution of dynamic evacuation models, which would take the ever-changing and ever-evolving needs of vulnerable population groups into account.
- U.S. Department of Transportation Federal Highway Administration Office of Operations (2009) Evacuating Populations with Special Needs Routes to Effective Evacuation Planning Primer Series. https://ops.fhwa.dot.gov/
- Phillips, B.D. and Morrow, B.H. (2007) Social Science Research Needs: Focus on Vulnerable Populations, Forecasting, and Warnings. Natural Hazards Review , 8, 61-68. https://doi.org/10.1061/(asce)1527-6988(2007)8:3(61)
- Barzegar, M. and Wen, H.F. (2023) Modeling Roadway Temperatures for wildfire Evacuation and Assessment of Pavement Damage. Journal of Infrastructure Preservation and Resilience , 4, Article No. 18.
- Parajuli, G., Neupane, S., Kunwar, S., Adhikari, R. and Acharya, T.D. (2023) A GIS-Based Evacuation Route Planning in Flood-Susceptible Area of Siraha Municipality, Nepal. ISPRS International Journal of Geo - Information , 12, Article No. 286. https://doi.org/10.3390/ijgi12070286
- Arif, Z., Ella, M. and Halida, Y. (2024) Analysis of School Infrastructure Potential as Temporary Evacuation Centers during Emergency Disaster Conditions in Palu and Surrounding Areas. E 3 S Web of Conferences , 476, Article No. 01040. https://doi.org/10.1051/e3sconf/202447601040
- Arango, E., Nogal, M., Sousa, H.S., Matos, J.C. and Stewart, M.G. (2023) GIS-Based Methodology for Prioritization of Preparedness Interventions on Road Transport under Wildfire Events. International Journal of Disaster Risk Reduction , 99, Article ID: 104126. https://doi.org/10.1016/j.ijdrr.2023.104126
- Alkış, S., Aksoy, E. and Akpınar, K. (2021) Risk Assessment of Industrial Fires for Surrounding Vulnerable Facilities Using a Multi-Criteria Decision Support Approach and GIS. Fire , 4, Article No. 53. https://doi.org/10.3390/fire4030053
- Cova, T.J., Li, D.P., Siebeneck, L.K. and Drews, F.A. (2021) Toward Simulating Dire Fire Scenarios. Natural Hazards Review , 22, Article ID: 06021003.
- Tani, K. and Yamamoto, K. (2020) Search Methods for Evacuation Routes during Torrential Rain Disasters Using Genetic Algorithms and GIS. Journal of Geographic Information System , 12, 256-274. https://doi.org/10.4236/jgis.2020.123016
- Sugiyama, T. and Yamori, K. (2020) Consideration of Evacuation Drills Utilizing the Capabilities of People with Special Needs. Journal of Disaster Research , 15, 794-801. https://doi.org/10.20965/jdr.2020.p0794
- Nefros, K.C., Kitsara, G.S. and Photis, Y.N. (2018) Using Geographic Information Systems (GIS) to Develop Prioritization Maps in Urban Search and Rescue Operations, after a Natural Disaster. Case Study: The Municipality of Agia Paraskevi, Athens, Greece. IFAC - PapersOnLine , 51, 360-365. https://doi.org/10.1016/j.ifacol.2018.11.332