Evaluation of Fire Disaster Emergency Response Capacity using Open-source Data and Response Time Analysis in Ilorin Metropolis
Open Access
- 1 October 2021
- journal article
- Published by University of Benin - Faculty of Environmental Sciences in Nigerian Journal of Environmental Sciences and Technology
- Vol. 5 (2), 340-346
- https://doi.org/10.36263/nijest.2021.02.0281
Abstract
This study evaluates the response capacity to fire disaster emergency response system in Ilorin metropolis using Open-source data and response time analysis. Road and street information were obtained from Geofabrik. In addition, coordinates of fire service stations and fire disaster risk spots, specifically fuel and gas stations were acquired using Garmin 76X handheld GPS. Using the relationship of the length of road segments and speed, the travel time was computed in ArcGIS 10.4 environment. With the Network analyst tool, the response capability of the fire stations was evaluated at different response times (1, 2, and 3 minutes) based on service area coverage. The results showed that the fire stations could only cover 0.24%, 0.68%, and 1.22% of the service area within 1-, 2- and 3-minute response time, respectively, whereas 97.86% of the metropolis requires longer time (>3 minutes). Finding from this study has revealed the inadequacy of the existing fire disaster emergency response system to effectively cover the city. This will be useful for local and state governments in policy directives on strengthening fire disaster emergency response structure.Keywords
This publication has 13 references indexed in Scilit:
- The Evaluation of Building Fire Emergency Response Capability Based on the CMMInternational Journal of Environmental Research and Public Health, 2019
- Assessing Vulnerability and Fire Risk in Old Urban Areas: Application to the Historical Centre of GuimarãesFire Technology, 2018
- Forest fire monitoring system based on aerial imagePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- More effectively addressing fire/disaster challenges to protect our cultural heritageJournal of Cultural Heritage, 2016
- Inter-agency collaboration for fire disaster management in Nairobi CityJournal of Urban Management, 2016
- Trend of Fire Outbreaks in Ghana and Ways to Prevent These IncidentsSafety and Health at Work, 2016
- Forest Canopy Density and ASTER DEM based Study for Dense Forest Investigation using Remote Sensing and GIS Techniques around East Singhbhum in Jharkhand, IndiaInternational Journal of Advanced Remote Sensing and GIS, 2015
- Approach to Fire-related Disaster Management in High Density Urban-areaProcedia Engineering, 2014
- Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniquesNatural Hazards, 2012
- Evaluation of the Fire Emergency Rescue Capability in Urban CommunityProcedia Engineering, 2011