Willingness to board: A novel concept for modeling queuing up passengers |
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| Institution: | 1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, China\n;2. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong;1. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong;2. Department of Marketing, Quantitative Analysis, and Business Law, Mississippi State University, Mississippi 39762, U.S.A.;1. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong\n;2. School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia;1. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong;2. School of Management, Shanghai University, Shang Da Road 99, Shanghai 200444, China;3. School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia;2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong |
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| Abstract: | This paper addresses an innovative concept, termed as queuing passengers’ willingness to board (WTB) the transit vehicles. In the peak hours, some queuing passengers cannot board a crowded bus/train, but when the same vehicle arrives at the next stop, some other passengers could still get on. This phenomenon reflects that passengers at different queuing locations have heterogeneous level of ambitions to board. A methodological framework is proposed for the quantitative investigation of WTB. First, a general model is proposed, together with a new least square method (LSM) for the calibration. Then, a parametric model is developed, which is also calibrated by the LSM. To refine the calibration method and deal with the biasness of survey data, a weighted least square method is further developed. Based on real survey data, the calibration results clearly support the existence of WTB, which can be used to estimate the capacity of transit vehicles. This paper also sheds some lights on the practical applications of the quantitative WTB. |
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