ANALYSIS OF COMMUTER TRAVEL BEHAVIOR IN BOGOR CITY AND REGENCY TOWARDS TRANSIT TRANSFORMATION AT MANGGARAI STATION

• Main Author: Annabila Dien Muhammad, Mirai
• Format: Theses
• Language: Indonesia
• Subjects: Transportasi ; transportasi darat
• Online Access: https://digilib.itb.ac.id/gdl/view/78737
• Institution: Institut Teknologi Bandung

Manggarai Station is undergoing infrastructure renovations that have been running since 2017 and are planned to be completed in 2024-2025. The renovation is carried out to realize Manggarai Station as a public transportation hub that will serve long-distance trains, commuter line trains, airport trains, LRT and Transjakarta, as well as other public transportation. Towards this direction, there are several switches over stages carried out, such as route changes. Along with the changes that occurred at Manggarai Station, there were passengers who were affected in their travel routines. Various complaints were published in popular media blaming the route changes for making it difficult for passengers and transit causing Manggarai Station to become overloaded. Some sources also stated to avoid Manggarai Station. The form of events that occur can be categorized as disruption, as changes in routes and infrastructure have a mass impact. Based on the literature, there are five forms of travel behavior changes that can occur in disruption conditions, consisting of no change, changing destinations, changing modes, changing departure times, and avoiding disruption points. Thus, this study wasiconducted to identifyihow changes in the route and infrastructure of Manggarai Station affect commuter travel behavior. Using one of the highest volume commuters, Bogor commuters, a multinomial logit with IBM SPSS Statistics 26 was conducted. The resulting model was divided into two, based on variables before the change and after the change. In the model before the changes resulting influential variables are marital status, destination line (Tangerang), waiting time (0-9 minutes), and travel time in KRL (100- 199). Meanwhile, in the model after the change, the influential variables are domicile (Bogor City), origin station (Cilebut Station & Bojong Gede Station), travel time in KRL, and passenger awareness of other passenger behavior changes.