Journal of the Operations Research Society of China >
The Park-and-Ride Behavior in a Cumulative Prospect Theory-Based Model
Online published: 2017-09-30
Supported by
The research was supported by the National Natural Science Foundation of China (Nos. 71671044,
71301028 and 71303051), and Excellent Youth Science Foundation of Fujian Province (No. 2016J06017).
As an effective travel demand management means, park-and-ride (P&R) mode is an important part of urban traffic. In a traffic corridor with P&R service, suppose that the travel time on highway is uncertain, a cumulative prospect theory (CPT)-based travel decision-making model is established with two travel modes of driving all the way and (P&R). With this setting, the effect of various factors such as the transit fare rate, the parking fee and the total travel demand on the CPT-based and expected utility theory (EUT)-based equilibrium results are compared. In addition, the sensitivity analysis focus on CPT-related parameters are also performed. The numerical results in our case show that the equilibrium flow on P&R mode is always underestimated in an EUT-based model, especially for a low total travel demand. Also, it is found that reducing the transit fare rate or parking fee for P&R station and raising the parking fee for CBD has the same effect on promoting more commuters transfer to P&R mode, whatever CPT-based or EUT-based model is employed.Furthermore, commuter’s reference dependence characteristic is also observed in a CPT-based model, and it is especially noticeable when the road uncertainty is large.
Li-Jun Tian · Cheng-Rui Lyu ·Yong-Xiang Zhao . The Park-and-Ride Behavior in a Cumulative Prospect Theory-Based Model[J]. Journal of the Operations Research Society of China, 2017 , 5(3) : 363 -376 . DOI: 10.1007/s40305-017-0153-7
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