[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]

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

基于大数据的网约车运行特征评估及政策思考

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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

基于大数据的网约车运行特征评估及政策思考

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

孙超¹;  2;  陈小鸿¹;  张红军¹;  3;  陈澍²

¹同济大学道路与交通工程教育部重点实验室, 上海 201804; ²深圳市城市交通规划设计研究中心有限公司, 深圳 518021; ³Department of Civil and Environmental Engineering, University of California, Davis, CA 95616, USA

Keywords:

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

网约车;  出行特征;  车牌识别;  SP调查;  大数据分析;  政策评估

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.

为了给出租车行业改革和规范网约车管理工作提供科学依据, 提出一种“双维度”的网约车运行特征大数据评估方法.以深圳为例, 融合网约车车牌数据、车牌识别数据、出租车(含网约车)营运数据等多源数据以及出租车出行特征SP调查结果来评估网约车整体运行特征.结果表明, 当前深圳网约车构成可分为专职网约车、非活跃网约车和兼职网约车三类, 分别占总规模比例为4%, 55%和41%.在网约车时空运行特征方面, 专职网约车具有接近传统巡游出租车的营运特征;非活跃网约车和兼职网约车的运营与早晚高峰时段的通勤需求相吻合, 但兼职网约车在晚上运营时间更长.由于网约车叫车方便和价格优惠, 对居民出行方式选择产生了重要影响;网约车对传统公交和巡游出租车的替代效应显而易见.在网约车行业发展的关键阶段, 本研究可为政府部门客观认识网约车行业发展规律和制定相关管理政策提供决策参考.

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.

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