Journal of South China University of Technology(Natural Science Edition) ›› 2022, Vol. 50 ›› Issue (11): 14-24.doi: 10.12141/j.issn.1000-565X.220004

Special Issue: 2022年交通运输工程

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Study on the Choice of Morning Peak Departure Time of Heterogeneous Car Commuters Considering Travel Anxiety

HU Yucong1,LUO Mingming1,2 PAN Lei3 LING Meining4 LU Xiaoshan5   

  1. 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
    2.Collaborative Innovation Center of Modern Urban Traffic Technologies,Nanjing 211189,Jiangsu,China
    3.Guangzhou Transports Research Institute,Guangzhou 510627,Guangdong,China
    4.Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510060,Guangdong,China
    5.School of Automobile and Transportation Engineering,Hefei University of Technology,Hefei 230009,Anhui,China
  • Received:2022-01-04 Online:2022-11-25 Published:2022-07-15
  • Contact: 卢晓珊(1984-),女,副教授,主要从事交通运输规划与管理研究。 E-mail:shan_xl@163.com
  • About author:胡郁葱(1970-),女,副教授,主要从事交通运输系统规划与设计等研究。E-mail:ychu@scut.edu.cn.
  • Supported by:
    the National Natural Science Foundation of China(52072129)

Abstract:

Private car commuters were divided into two groups: group I who feel anxious about road congestion and group II who are more concerned about whether they can arrive punctually. The trip sensitivity coefficient (congestion anxiety coefficient, punctual anxiety coefficient) and the bottleneck tolerance coefficient were introduced to characterize the travel anxiety level of the two types of commuters. A new trip cost function was developed based on the standard bottleneck model and was applied to analyze indicators such as departure-rate, peak-start-end time and commuter-composition in single and shared routes. The results show that when there is only a certain type of commuters on the road, the increase of the congestion anxiety coefficient, bottleneck tolerance coefficient and punctual anxiety coefficient will reduce the total perceived travel cost of the system for commuters on a single line. The number of group II increases, the total perceived travel cost of system decreases, and the peak period shifts forward as the punctual anxiety coefficient of group II in mixed situation 1 rises; the total perceived travel cost of system falls as the bottleneck tolerance coefficient increases, while the peak period moves back. In the mixed situation 2, the congestion anxiety coefficient and the bottleneck tolerance coefficient of group I have dual effects on the number of this group, and under the combinations of different bottleneck tolerance coefficient and congestion anxiety coefficient, the attractiveness of this group exhibits three different trends: monotonically decreasing, first decreasing and then increasing, and monotonically increasing.

Key words: travel anxiety, bottleneck model, heterogeneous car commuters, congestion anxiety coefficient, bottleneck tolerance coefficient, punctual anxiety coefficient, morning peak, departure time choice

CLC Number: