การศึกษาระบบนำส่งผู้โดยสาร (Feeder) ด้วยรถโดยสารประจำทาง เพื่อสนับสนุนการเดินทางด้วยรถไฟฟ้า

  • ทรงพร สุวัฒิกะ สถาบันขนส่ง จุฬาลงกรณ์มหาวิทยาลัย กรุงเทพฯ

Abstract

This article is a study, survey and analysis of travel patterns that support the connection of travel to the mass transit system, to test the service of the passenger transport system (Feeder). The route of the study is MRT purple line Tao Poon station - Khlong Bang Phai station. The first step is to collect physical data - population density data and other public transportation around the MRT. The next step is to analyze passenger behavior with the MRT and then select design the route of the passenger transport system from the specified criteria for all 13 routes. After that, make a forecast of the number of passengers that will come to use the service. The last step is to test the passenger transport system for a period of 1 month and 1 route, the route is Tiwanon intersection station - Nonthaburi pier station, it is forecasted at 761 passengers/day on weekdays and 656 passengers/day on weekend. In service trials, on weekdays and weekend, there are an average passenger service at 218 passengers/day and 106 passengers/day respectively, which is less than expected. In the evaluation of the service, the customers were satisfied most. If this route is operated in the future, most of them will still use the service. And choose the type of service vehicle size 10 – 20 seats, with reasonable fares and additional facilities such as GPS locating the car, online fare payment and schedule indicating time, etc. Finally, the departments involved in passenger transport can further extend from this article to develop a system for passengers travel to mass transit for increase the convenience of passenger travel on other routes.

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Published
2021-06-24
How to Cite
สุวัฒิกะท. (2021). การศึกษาระบบนำส่งผู้โดยสาร (Feeder) ด้วยรถโดยสารประจำทาง เพื่อสนับสนุนการเดินทางด้วยรถไฟฟ้า. The 26th National Convention on Civil Engineering, 26, TRL-30. Retrieved from https://conference.thaince.org/index.php/ncce26/article/view/917
Section
Intelligent Transportation, Traffic and Logistics Engineering