Street art bukit bintang by e-scooter: application of fuzzy-AHP & GIS

Cities are grappling with safety concerns surrounding e-scooters, leading to bans in some areas. However, there is a need to understand the best paths for e-scooter users, especially when main roads are unavailable or restricted. Decision-making methods like MCDA and GIS network analysis can help determine the best routes, considering various criteria and outcomes. This study aims to determine the best street art trail for e-scooters through the combined use of Fuzzy-AHP (FAHP) and GIS The objectives include identifying optimal pathway criteria, mapping potential trails using GIS, and assessing differences from other route planner applications. FAHP used to compute the criterion weights and these weights were integrated with GIS to establish a network model and identify the optimal e-scooter pathway using the TSP method. The final output is a map detailing optimal e-scooter route connecting street art in Bukit Bintang, featuring path information, street art locations, nearest train stations, and e- scooter rental stations. Following the derivation of the optimal path, analysis involved comparing it with existing trails from other navigation apps were made.