Impact Analysis of Commuting Rideshare Design and Organizational Efficiency During Public Health Emergencies

被引：0
|
作者：
Wu J.-R. [1 ,2 ]
Wang Y.-Q. [1 ]
Chen X.-H. [1 ,2 ]
机构：
[1] Key Laboratory of Road and Transportation Engineering of Ministry of Education, Tongji University, Shanghai
[2] Urban Mobility Institute, Tongji University, Shanghai
来源：
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2020年 / 33卷 / 11期
关键词：
Commuting rideshare; Enterprise organization; Expected efficiency; Exposure risk; Health management; Public health emergency; Traffic engineering;
D O I：
10.19721/j.cnki.1001-7372.2020.11.003
中图分类号：
学科分类号：
摘要：
To explore the feasibility and organizational efficiency of applying ridesharing to commutes during public health emergencies, this study analyzed the public's willingness and perception of the exposure risks of different travel modes based on an online questionnaire for passenger travel preferences during COVID-19. The survey shows that approximately 71% of both car owners and car-free groups have a high willingness to share rides with people from the same company. 60% of car owners are happy to offer rideshare services, while 73% of car-free employees show a willingness to join a carpool. Utilizing ridesharing in company is feasible and available, with proper demand and foundation. A study on the driving factors behind ridesharing based on a questionnaire and binary logit model shows that a traveler's subjective perception of travel mode risk has a significant influence on the rideshare choice. Considering the travel mode preferences of groups during COVID-19, this paper proposes the principles of mutual benefit, reassurance, shared appointments, shared ridership control, and requirements for levels of service based on the health management of the rideshare commuting mode. Through simulations of carpooling in different scenarios, the expected efficiency of the mode was analyzed. Compared to the "N to N" pairing in commercial ridesharing, the "N to 1" pairing in the commuting rideshare mode organized by the company greatly improved the efficiency. For different rates of car ownership, there generally exists a proper staff size, usually not large, corresponding to an optimum pairing rate. The pairing rate in distributed residences is lower than that in concentrated residences. When the car ownership rate reaches 65%, the pairing rate can be high in both distributed and concentrated residences. During public health emergencies, exploring urban transportation innovations to solve commuting mobility needs as well as risk management and control will provide a reference for resilient urban governance. © 2020, Editorial Department of China Journal of Highway and Transport. All right reserved.
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页码：20 / 29
页数：9
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