Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago

被引:9
|
作者
Zheng, Yunhan [1 ]
Meredith-Karam, Patrick [2 ]
Stewart, Anson [2 ]
Kong, Hui [3 ]
Zhao, Jinhua [2 ]
机构
[1] MIT, Dept Civil & Environm Engn, Cambridge, MA 20139 USA
[2] MIT, Dept Urban Studies & Planning, Cambridge, MA 02139 USA
[3] Xiamen Univ, Sch Architecture & Civil Engn, Xiamen 361005, Peoples R China
关键词
Transportation network company (TNC); Ride-hailing; Congestion pricing; Regulatory policy; Pooling; Difference-in-differences; Natural experiment;
D O I
10.1016/j.tra.2023.103639
中图分类号
F [经济];
学科分类号
02 ;
摘要
To combat congestion, promote sustainable forms of transportation, and support the public transit system, Chicago introduced a congestion pricing policy targeting transportation network company (TNC) services on January 6, 2020. This policy aimed to discourage single-occupant and peak-period TNC travel, particularly in high-congestion areas. Using TNC trip record data collected from the Chicago Data Portal, we quantify the impacts of the congestion pricing policy on TNC ridership in Chicago, differentiating between shared and single-occupant trips. Employing a Difference-in-Differences identification strategy, we find that the implementation of the congestion pricing policy led to an increase in shared TNC trip counts and a much larger decrease in single-occupant trip counts. Overall, the policy implementation is associated with a 7.1% reduction of total TNC pickup trips, a 16.4% increase of shared TNC pickup trips and a 11% reduction of single TNC pickup trips. Given the estimated policy effects, we find that the price elasticity of the TNC trip volume in the downtown areas is roughly -0.48. In terms of spatial variation, we find that the lost TNC trips were mainly trips that began and ended in the central business district. The south side of Chicago, which has a high proportion of African-American and low-income residents, shows evidence of single trip reduction for trips that began or ended in the downtown areas due to the policy implementation, but the policy did not seem to incentivize pooling to or from the downtown areas as effectively in the south side as in other regions of Chicago. Regarding the time-of-day variation, we find that the policy is more effective in encouraging trip sharing for off-peak travels than for peak-time travels. Our research provides local planners and policymakers with valuable insights into the impacts of the congestion pricing policy. The method and findings of this research can also be used for other cities that are considering adopting congestion pricing policies on TNCs in the future.
引用
收藏
页数:24
相关论文
共 50 条
  • [1] Quantifying the impact of weather on ride-hailing ridership: Evidence from Haikou, China
    Liu, Shan
    Jiang, Hai
    Chen, Zhe
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2021, 24 : 257 - 269
  • [2] The Impact of Ride-Hailing Services on Congestion: Evidence from Indian Cities
    Agarwal, Saharsh
    Mani, Deepa
    Telang, Rahul
    [J]. M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2023, 25 (03) : 862 - 883
  • [3] Impacts of differentiated services and competition on the pricing strategies of ride-hailing platforms
    Sun, Zhongmiao
    Liu, Jinrong
    [J]. MANAGERIAL AND DECISION ECONOMICS, 2023, 44 (06) : 3604 - 3624
  • [4] Surge pricing and consumer surplus in the ride-hailing market: Evidence from China
    Xu, Min
    Anupriya
    Bansal, Prateek
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2023, 33
  • [5] Dynamic pricing and matching in ride-hailing platforms
    Yan, Chiwei
    Zhu, Helin
    Korolko, Nikita
    Woodard, Dawn
    [J]. NAVAL RESEARCH LOGISTICS, 2020, 67 (08) : 705 - 724
  • [6] IMPACT OF RIDE-HAILING SERVICES ON TRANSPORTATION MODE CHOICES: EVIDENCE FROM TRAFFIC AND TRANSIT RIDERSHIP 1
    Lee, Kyunghee
    Jin, Qianran
    Animesh, Animesh
    Ramaprasad, Jui
    [J]. MIS QUARTERLY, 2022, 46 (04) : 1875 - 1900
  • [7] Making the links between ride-hailing and public transit ridership: Impacts in medium and large Colombian cities
    Scholl, Lynn
    Bedoya, Felipe
    Sabogal-Cardona, Orlando
    Oviedo, Daniel
    [J]. RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2022, 45
  • [8] Exploring the correlation between ride-hailing and multimodal transit ridership in toronto
    Wenting Li
    Amer Shalaby
    Khandker Nurul Habib
    [J]. Transportation, 2022, 49 : 765 - 789
  • [9] Exploring the correlation between ride-hailing and multimodal transit ridership in toronto
    Li, Wenting
    Shalaby, Amer
    Habib, Khandker Nurul
    [J]. TRANSPORTATION, 2022, 49 (03) : 765 - 789
  • [10] Evidence for Acceptance of Ride-Hailing Services in Iran
    Akbari, Morteza
    Amiri, Nader Seyyed
    Zuniga, Miguel Angel
    Padash, Hamid
    Shakiba, Hodjat
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (11) : 289 - 303