Dynamics of commuting decision behaviour under advanced traveller information systems |
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| Affiliation: | 1. Department of Civil Engineering and Department of Management Science & Information Systems, The University of Texas, Austin, TX 78712-1076, USA;2. Institute of Management Science and Department of Accounting, I-Shou University, 1, Sec. 1, Hsueh-Cheng Rd., Ta-Hsu Hsiang, Kaohsiung, Taiwan, ROC;1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, China;2. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong;1. College of Economics, Jinan University, No. 601 Huangpu Road West, Guangzhou 510632, China;2. Heriot-Watt University, Edinburgh EH14 4AS, UK;3. School of Aviation, University of New South Wales, Sydney, NSW 2052, Australia;1. Institute for Transport Studies, University of Leeds, United Kingdom;2. School of Business Administration, Southwestern University of Finance and Economics, PR China;3. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;1. School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China;2. School of Automation, Beijing Information Science and Technology University, Beijing 100192, China;1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Southeast University Road #2, Nanjing, 211189, China;2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Southeast University Road #2, Nanjing, 211189, China;3. School of Transportation, Southeast University, Southeast University Road #2, Nanjing, 211189, China;4. Department of Civil & Environmental Engineering, National University of Singapore, Singapore, 117576, Singapore |
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| Abstract: | ![]()
This paper addresses departure time and route switching decisions made by commuters in response to Advanced Traveller Information Systems (ATIS). It is based on the data collected from an experiment using a dynamic interactive travel simulator for laboratory studies of user responses under real-time information. The experiment involves actual commuters who simultaneously interact with each other within a simulated traffic corridor that consists of alternative travel facilities with differing characteristics. These commuters can determine their departure time and route at the origin and their path en-route at various decision nodes along their trip. A multinomial probit model framework is used to capture the serial correlation arising from repeated decisions made by the same respondent. The resulting behavioural model estimates support the notion that commuters' route switching decisions are predicated on the expectation of an improvement in trip time that exceeds a certain threshold (indifference band), which varies systematically with the remaining trip time to the destination, subject to a minimum absolute improvement (about 1 min). |
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