Impact of integrated multimodal traveler information on auto commuter’s mode switching propensity
Aim: Real-time traveler information affects auto commuter’s travel behavior. Method: An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers...
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Main Authors: | , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2018
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在線閱讀: | https://hdl.handle.net/10356/88718 http://hdl.handle.net/10220/45871 |
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機構: | Nanyang Technological University |
語言: | English |
總結: | Aim: Real-time traveler information affects auto commuter’s travel behavior. Method: An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers to gather individual commuter’s travel decisions under integrated multimodal traveler information. Result: It is shown that integrated multimodal traveler information can influence willingness of car drivers to switch mode of travel, while socio-economic characteristics also influence the mode choice decision. |
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