Volume XLII-4/W9 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 83-88, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  26 Oct 2018

26 Oct 2018


A. E. Akay1, İ. R. Karaş2, and İ. Kahraman2 A. E. Akay et al.
  • 1Bursa Technical University, Faculty of Forestry, 16310 Bursa, Turkey
  • 2Karabük University, Faculty of Engineering, 78050 Karabük, Turkey

Keywords: Disaster Management, Forest Fires, Firefighting Teams, GIS, Network Analysis, Shortest-path

Abstract. Wild forest fires are one of the most important disasters that affect the forest ecosystem especially in the regions with arid climate conditions. Besides, forest fires threats human life and results in seriously property loss. In order to fight forest fires effectively, it is crucial that firefighting team should reach fire location and start fire extinguishing activities within the critical response time. Since firefighting teams are transported to fire locations by fire-trucks, the optimum route with minimum travel time should be determined by considering available road network. “New Service Area” tool under “Network Analyst” extension of ArcGIS can be used to determine a region that can be reached from a point within a specified time period. In this study, it was aimed to evaluate the locations of current firefighting teams and investigate locations of potential firefighting teams using “New Service Area” tool. The study area is located in Mustafakemalpaşa in Bursa where forest lands are sensitive to forest fires at the second degree and there is currently one firefighting team in the area. The results indicated that 31.28% of forest land can be reached by current firefighting team within the critical response time. When including new firefighting teams, it was found that accessible forest lands increased to 71.55%. It can be concluded that locating new firefighting teams should be established in the study area to increase the accessible forested areas on time and GIS-based decision support systems can be effectively used to fight forest fires regarding with disaster management.