[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, 34 (3): 394-401. [doi:10.3969/j.issn.1003-7985.2018.03.016]

Copy

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

Share：

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

Volumn:

34

Issue:

2018 3

Page:

394-401

Research Field:

Traffic and Transportation Engineering

Publishing date:

2018-09-20

Info

Title:

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

Author(s):

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

Keywords:

on-line taxi;  trip characteristics;  license plate identification;  stated preference(SP)survey;  big data analysis;  policy assessment

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2018.03.016

Abstract:

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.

References:

[1] Wang G T, Qi T Y, Chen X H, et al. Integrated management of taxi booking apps [J].Urban Transport of China, 2014(5): 1-3.(in Chinese)
[2] Chen X H. “Sharing Economy” is not the reason for regulation avoidance of on-line taxis [N]. Economic Daily, 2015-10-21.(in Chinese)
[3] Huang J Y. New policies on tailored taxis do not deny the sharing economy: Interview with Director Wang Xiaoming of Industrial Economy Research Department, Development Research Center of the State Council [N/OL]. China Economic Times, 2015-10-16 [2017-08-10]. http://www.p5w.net/news/gncj/201510/t20151016_1226360.htm.(in Chinese)
[4] Feng L, Li H.How can the reform of tailored taxis make a breakthrough in “interests”: Focus issues in the current taxi reform shall be treated rationally [N/OL]. Guangming Ribao, 2015-10-20 [2017-08-10]. http://www.gov.cn/xinwen/2015-10/20/content_2950226.htm.(in Chinese)
[5] Institute for Law and Economics at Peking University. Interim measures for the administration of on-line taxi booking business operations and services(exposure draft)policy seminar document assembly [R]. Beijing: Institute for Law and Economics at Peking University, 2015.(in Chinese)
[6] Ma Z F. On the deepened reform of taxi industry and the regulation of the on-line taxi development[J]. Finance & Accounting for Communications, 2017(2):68-72.
[7] Hou D H. Comparative study on regulation rules for on-line taxis-comments on the interim measures for the administration of on-line taxi booking business operations and services(exposure draft)issued by the Ministry of Transport of the People’s Republic of China [J]. Journal of University of Science and Technology Beijing (Social Science Edition), 2015(6): 96-103.(in Chinese)
[8] He F, Shen Z J M. Modeling taxi services with smartphone-based e-hailing applications[J]. Transportation Research Part C: Emerging Technologies, 2015, 58: 93-106. DOI:10.1016/j.trc.2015.06.023.
[9] Qian X W, Ukkusuri S V. Taxi market equilibrium with third-party hailing service[J]. Transportation Research Part B: Methodological, 2017, 100: 43-63. DOI:10.1016/j.trb.2017.01.012.
[10] Wang X L, He F, Yang H, et al. Pricing strategies for a taxi-hailing platform[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 93: 212-231. DOI:10.1016/j.tre.2016.05.011.
[11] Gao Y, An J, Quan Y X. Influence of on-line taxis on the selection of trip mode and traffic operation [J]. Urban Transport of China, 2016, 14(5): 1-8.(in Chinese)
[12] Wang J. Difficulties of regulation on on-line taxis in China and corresponding solutions [J]. Administrative Law Review, 2016(2): 49-59.
[13] Rong C H, Wang X C. Identify the nature of on-line taxis and promote the reform of taxi regulation [J]. Comprehensive Transportation, 2016(1): 4-10.
[14] Fan J C, Mei C L. Data analysis [M]. Beijing: Science Press, 2002.(in Chinese)
[15] I-Research. China mobile terminal trip service market research report in 2016 [EB/OL].(2015-03-23)[2017-08-10].http://useit.baijia.baidu.com/article/372722.
[16] Didi Media Research Institute, CBN Data, Watching Institute. Intelligent trip in China 2015 big data report [EB/OL].( 2016-01-21)[2017-08-10]. http://www.199it.com/archives/432118.html.

Memo

Memo:

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.

Common functions