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网约车服务对城市传统出租车使用的冲击效应
引用本文:钟军,林岩,吴瑕,赵栩藤.网约车服务对城市传统出租车使用的冲击效应[J].交通信息与安全,2021,39(2):118-125.
作者姓名:钟军  林岩  吴瑕  赵栩藤
作者单位:大连海事大学航运经济与管理学院 辽宁 大连 116026
基金项目:国家自然科学基金项目71571025大连市科技创新基金项目2020JJ27FZ122
摘    要:网约车服务的迅速发展对包括传统出租车在内的城市出行方式产生了重大冲击。针对传统出租车使用的冲击问题,收集中国33个地级及以上行政级别城市2010—2016年的平衡面板数据,采用双重差分法(DID)进行量化,并进行动态效应分析、稳健性检验、城市规模等级异质性和城市区位异质性分析。研究结果表明,网约车服务对传统出租车的使用产生显著的负向冲击,使传统出租车使用平均减少了25.46%;随着时间的推移,网约车服务对传统出租车使用的负向冲击呈现先加强后变弱的规律;城市规模异质性分析发现网约车服务致使超大城市中传统出租车使用减少了28.68%,致使大城市中传统出租车使用减少了22.12%;城市区位异质性分析发现网约车服务使东部城市传统出租车使用减少了27.96%,使西部城市传统出租车使用减少了21.2%。 

关 键 词:城市交通    网约车服务    冲击效应    双重差分法    出租车
收稿时间:2020-10-18

A Shock Effect of Ride-hailing Services on Using Traditional Taxis in Urban Areas
ZHONG Jun,LIN Yan,WU Xia,ZHAO Xuteng.A Shock Effect of Ride-hailing Services on Using Traditional Taxis in Urban Areas[J].Journal of Transport Information and Safety,2021,39(2):118-125.
Authors:ZHONG Jun  LIN Yan  WU Xia  ZHAO Xuteng
Institution:School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China
Abstract:The rapid development of ride-hailing services significantly affects urban travel modes, including traditional taxis. An important issue is how it affects the use of traditional taxis. The balanced panel data of 33 cities in China from 2010 to 2016 are collected and quantified by difference-in-differences(DID)method. This paper also performs dynamic effect analysis, robustness test, and analysis on the city scale and urban location heterogeneities. The results show that ride-hailing services reduce the use of traditional taxis by an average of 25.46%. The negative impact of ride-hailing services initially strengthens and then weakens over time. Analysis of the city scale heterogeneity shows that ride-hailing services reduce the use of traditional taxis by 28.68% in megacities and 22.12% in the metropolis. Analysis of the city location heterogeneity of shows that ride-hailing services reduce the use of traditional taxis by 27.96% in eastern cities and 21.2% in western cities. 
Keywords:
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