- 1Institute of Water & Flood Management, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh (marufahmedbuet175@gmail.com)
- 2Institute of Water & Flood Management, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh (nahidsultanaanny6236@gmail.com)
- 3Institute of Water & Flood Management, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh (rafikhadem@gmail.com)
- 4Institute of Water & Flood Management, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh (tasnimara2001@gmail.com)
Flooding is a common and devastating disaster that happens recurrently in Bangladesh. Climate change, rapid urbanization, and inadequate drainage systems have exacerbated this event in recent years. In 2023, Satkania upazila in Chattogram district was severely affected by flood. Additionally, communities weren’t prepared for this flood, as they hadn’t faced any kind of flood in recent years, as reported by field observation. That severity helped to select Satkania upazila as a study area for this research. This study focuses on developing a GIS-based evacuation route plan to mitigate the adverse impacts of flooding by ensuring safe and efficient evacuation during emergencies. To identify high-risk and low-risk zones, Sentinel-1 SAR imagery was used to create an inundation map. Frequent and severe flooding criteria were used to find the high-risk zones. This area is designated as an assembly point where people can gather before moving to safer places. Low-risk zones were identified as suitable locations for emergency shelters to ensure people's safety during disaster events. ArcGIS network analyst tools are used to perform closest facility analysis and service area analysis. For this analysis, road network, elevation data, and building density were integrated with ArcGIS network analysis. Closest facility analysis helped to optimize the evacuation routes based on minimum travel time and shortest distance. To determine zones to locate emergency shelters, a service area analysis was performed to improve accessibility for vulnerable populations. The inundated map showed that 11.78% area was inundated during the 2023 flood. According to the network analysis, the assembly point that is closest to the emergency shelter is more accessible in both time and distance cases. A total of 3 out of 14 suggested emergency shelters were within 30 min, 7 within 60 min, 3 within 90 min, and 1 within 90 min walk from the assembly point. In terms of distance from the assembly site, there are 3 emergency shelters within 1000 m, 7 within 2000m, 3 within 3000 m, and 1 within 4000 m distance. The result showed the effectiveness of GIS-based route planning to minimize flood causalities and enhance disaster preparedness. This study provides actionable insights to design targeted interventions and response strategies for local governments and disaster management authorities.
How to cite: Ahmed, M., Anny, N. S., Khadem, S., and Baten, T. A.: A GIS-Based Evacuation Route Planning in Flood Inundated Area of Satkania, Chattogram, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20503, https://doi.org/10.5194/egusphere-egu25-20503, 2025.