|Table of Contents|

[1] Sun Chao, Chen Xiaohong, Zhang H. Michael, et al. Big data assessment on the operating characteristicsof on-line taxis and thoughts on relevant policies [J]. Journal of Southeast University (English Edition), 2018, (3): 394-401. [doi:10.3969/j.issn.1003-7985.2018.03.016]

Big data assessment on the operating characteristicsof on-line taxis and thoughts on relevant policies()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2018 3
Research Field:
Traffic and Transportation Engineering
Publishing date:


Big data assessment on the operating characteristicsof on-line taxis and thoughts on relevant policies
Sun Chao1 2 Chen Xiaohong1 Zhang H. Michael1 3 Chen Shu2
1The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
2Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518021, China
3Department of Civil
on-line taxi trip characteristics license plate identification stated preference(SP)survey big data analysis policy assessment
A double-dimensional big data assessment method on the characteristics of on-line taxi traffic operation is proposed to provide a scientific basis for carrying out the taxi industry reform and standardizing the on-line taxi hailing management work. Taking Shenzhen as an example, multi-source data such as on-line taxi license plate data, plate identification data and taxi(including on-line taxis)operation data are combined with the results of the stated preference(SP)survey on taxi operating characteristics to assess the overall operation characteristics of on-line taxis. The results show that the current on-line taxis in Shenzhen can be divided into three categories, that is, full-time on-line taxis, non-active on-line taxis and part-time on-line taxis, accounting for 4%, 55%, and 41%, respectively, of the total quantity. In terms of the characteristics of space-time operations, full-time on-line taxis have similar operating characteristics as those of traditional taxis; the operation of non-active on-line taxis and part-time on-line taxis coincides with commuting requirements during morning and evening peak hours. However, part-time on-line taxis operate for a much longer time period at night. Due to the convenient hailing and favorable price, on-line taxis have a significant impact on trip modes of citizens; and the substitution effect of on-line taxis on traditional buses and cruising taxis is obvious. It is beneficial for helping the government departments to objectively understand the development law of the on-line taxi industry and providing decision reference for the formulation of relevant management policies during the critical development stage of on-line taxi industry.


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Biographies: Sun Chao(1985—), male, Ph.D. candidate; Chen Xiaohong(corresponding author), female, doctor, professor, Tongjicxh@163.com.
Foundation item: The National Natural Science Foundation of China(No.71641005).
Citation: Sun Chao, Chen Xiaohong, Zhang H. Michael, et al. Big data assessment on the operating characteristics of on-line taxis and thoughts on relevant policies[J].Journal of Southeast University(English Edition), 2018, 34(3):394-401.DOI:10.3969/j.issn.1003-7985.2018.03.016.
Last Update: 2018-09-20