Using Activity-Based Model to Test Effects of Last-Mile Improvements on Residence Daily Activity and Travel Plan

Abstract

Despite the expansion of the Bangkok metro network, many people still choose to drive due to limited accessibility. To the problems, the last-mile connectivity in Bangkok is on the spot for research, studies, and planning. This paper utilizes an activity-based model to assess the effectiveness of the last-mile policies of three station areas in Bangkok. The results indicate that walkway improvements will increase the modal share of metro users by 0.099 percent, while taxi price reductions lead to an increase of approximately 0.049 percent in metro users. However, pricing policies, such as fare reductions, do not affect the number of passengers. From the results, encouraging passengers to shift from private to public transportation in Bangkok would be best achieved by improving the customer experience rather than relying on economic instruments. The model shows that people are willing to pay more for a comfortable and punctual public transportation service.