Network Analysis to Determine the Optimal Route for Firefighters in Makassar City

Makassar city experiences many residential fire disasters during the last years. One of the causes of fires is difficult to overcome due to the firefighters' late response. The number of fires occurred due to the ineffectiveness of the fire fighting road, obstructed by traffic conditions, in its operation. Developing a geospatial route analysis can help firefighters quickly find the best route to a fire point to overcome this problem. Geospatial route analysis is currently a key role in emergency responses for urban fire disasters. A routing system can provide network analysis that allows users to navigate between source and destination points. In this case, the system can help firefighters to arrive as quickly as possible. On complicated road networks, some impedance factors would slow down drivers on a particular road. This study aims to provide firefighters from the base stations to residential fire disaster locations. The method used in the studies is Dijkstra's algorithms to calculate weights of the impedance factors to optimal routing based on length of the road, speed drive, and traffic conditions. Implementation of routing analysis using open source geospatial software, PostgreSQL as database management system with PostGIS, and pgrouting as extensions. The modeling results show that the optimal route selection with speed parameters based on road classification has a low weight value. Therefore, it can be used as a reference for selecting a firefighter's routing. © Published under licence by IOP Publishing Ltd.