Integrating shared autonomous vehicles in a public transportation system: access mode choice behaviors of SAVS as the first-mile service in Bangkok city | |
| Author | Arkar Than Win |
| Call Number | AIT Thesis no.TE-20-06 |
| Subject(s) | Automated vehicles--Thailand--Bangkok Automobiles -- Automatic control |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Mass rapid transportation systems are designed to serve high density areas taking into account their passenger demand and station locations. Accessibility to these kinds of travel modes must then be considered to increase further its ridership. As urban areas continue to grow, the need for mobility services to get into these stations from passenger origins increase as well. This is referred to as the first-mile problem. With the recent advancements in technology and the growth in demand for first-mile solutions, shared autonomous vehicles (SAVs) have become one of the promising service mobility alternatives. Numerous related simulation studies and pilot projects have emerged and found that SAVs deliver significant positive societal and environmental impacts. However, not much research on this topic has been done, especially in Thailand. This study focuses on determining the potential demand for SAVs and the corresponding preferred service attributes of its probable passengers. An SP-RP mode choice survey was conducted and the combined choice models to predict the market share when SAVs are introduced were estimated. The relevant attributes and socio-demographic factors were also determined as well as the relative value of the trip attributes. Efficient design was used to generate the SP experiments among alternatives of taxi, light public transport, motorcycle taxi, and SAVs. The results showed that when SAVs are introduced to the market, a mode shift from all existing first-mile alternatives to SAVs occurred. Majority of these shifts came from motorcycle taxi users. The findings include the following: probable SAV users are more likely to opt for other travel mode alternatives when travel cost of these other modes decrease; low-income passengers heavily weigh travel cost and waiting time over other attributes; high-earning individuals highly consider walking time and travel time in choosing their first-mile travel modes; and older people prefer services which have a shorter walking distance. Futhermore, the simulation results showed that among the basic level of service attributes, travel cost has the hightest elasticity value, followed by in-vehicle travel time and waiting time. |
| Year | 2021 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong |
| Examination Committee(s) | Ampol Karoonsoontawong;Santoso, Djoen San |
| Scholarship Donor(s) | Loom Nam Khong Pijai (Greater Mekong Subregion) Scholarships |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2021 |