题名: |
Two-Phase Model for Demand-Responsive Transit Considering the Cancellation Behavior of Boundedly Rational Passengers |
正文语种: |
eng |
作者: |
Hongfei Wang;Hongzhi Guan;Huanmei Qin;Wanying Li;Pengfei Zhao |
作者单位: |
Faculty of Urban Construction Beijing Univ. of Technology Beijing 100124 China;Faculty of Urban Construction Beijing Univ. of Technology Beijing 100124 China;Faculty of Urban Construction Beijing Univ. of Technology Beijing 100124 China;Faculty of Urban Construction Beijing Univ. of Technology Beijing 100124 China;School of Civil and Transportation Engineering Beijing Univ. of Civil Engineering and Architecture Beijing 102616 China |
关键词: |
Demand-responsive transport; Cancellation behavior; Bounded rationality; Two-phase model; Pareto front |
摘要: |
The resurgence of demand-responsive transit (DRT) has been pushed toward a more sharable and user-friendly mobility service to reshape the urban mobility ecosystem. Nevertheless, to fulfill the swiftly growing diversified and personalized demand, how to depict the cancellation behavior of passengers remains an often overlooked but extremely significant challenge. This paper attempts to discuss the cancellation behavior in the two-phase optimization process. With regard to the unconfirmed reservation cancellation, bounded rationality is incorporated to portray the decision-making process of passengers. Bernoulli random variable is utilized to discuss the stochastic possibility of order cancellation. Simultaneously, a two-phase biobjective model considering the cancellation behavior is constructed to balance the inherent trade-off between passengers and operators. In addition, the algorithm based on multidirectional local search is constructed to achieve the Pareto front for the proposed model. Small-scale experiments in the Nguyen-Dupuis network are illustrated to validate the effectiveness of the algorithm. Subsequently, the Beijing case is further exemplified to evaluate the performance of DRT service considering the cancellation behavior. A reasonable penalty mechanism contributes to ensuring operating profit while substantially diminishing the penalty cost. Therefore, this paper facilitates not only capturing the cancellation behavior of passengers but also developing a more flexible and cost-effective DRT service. |
出版年: |
2023 |
期刊名称: |
Journal of Transportation Engineering |
卷: |
149 |
期: |
5 |
页码: |
04023028.1-04023028.13 |