Estimation of travel demand for Bangkok- Chiang Mai Hyperloop using traveler surveys | |
| Author | Agrawal, Paras |
| Call Number | AIT Thesis no.TE-19-02 |
| Subject(s) | Intelligent transportation systems --Thailand Transportation surveys--Thailand Choice of transportation--Thailand |
| 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 | Bangkok has been consistently ranked among the top ten cities with worst traffic congestions in the entire world. At the same time major airports in Thailand also suffers from serious congestion. The same also applies to the Bangkok- Chiang Mai corridor. Chiang Mai is among the top three travel destinations in Thailand along with Bangkok and Phuket. To reduce the stress on existing modes of transport in the Bangkok- Chiang Mai corridor, the Government of Thailand thought of a High- Speed Rail route between the two cities but a feasibility study conducted by JICA revealed that this line would run at a loss due to lack of ridership. Another mode of transport that could be investigated is Hyperloop. Hyperloop is seen as an ideal mode of transport which could be both fast and efficient unlike any other mode of transport. Therefore, the principal objective of this study was to estimate the demand for Hyperloop for the BangkokChiang Mai- Bangkok sector in Thailand using traveler surveys. Pen and paper-based survey was conducted for air and car travelers along the Bangkok- Chiang Mai sector and a total of 420 valid samples were utilized for model development. A Nested Logit model was developed to understand the factors affecting the mode choice and to predict the number of travelers who would shift to Hyperloop. Based on calibrated nested logit model, the variable contributing the most to the model was total travel cost followed by total travel time. The choice probabilities for the base year (2020) obtained from the model were 17.65%, 28.86% and 53.47% for Car, Air and Hyperloop respectively. This resulted in a modal split of 49.35%, 26.63%, 16.30%, 6.20% and 1.53% for Hyperloop, Air, Car, Bus and Rail respectively for the year 2020. Further, the number of trips per year for Hyperloop in 2020 and 2025 were projected to be 7,710,205 (49.34%) and 9,884,169 (51.41%) respectively. |
| Year | 2020 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Surachet Pravinvongvuth |
| Examination Committee(s) | Kunnawee Kanitpong;Ampol Karoonsoontawong |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2020 |