JOURNAL ARTICLE

Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market.

  • Published In: Information Systems Research (INFORMS), 2023, v. 34, n. 4. P. 1775 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Zhang, Yingjie; Li, Beibei; Qian, Sean 3 of 3

Abstract

This article examines the comparative performance of traditional taxi services and ridesharing platforms (e.g., Uber) in responding to unexpected urban anomalies such as terrorist attacks, subway shutdowns, and car crashes in New York City. Using a difference-in-differences econometric model on large-scale trip data from 2015 to 2017, the study finds that ridesharing platforms maintain higher utilization—measured by the number of fulfilled trips—than taxis following such shocks. The authors attribute this difference primarily to technological advantages (including real-time demand-supply matching and embedded navigation) and greater supply elasticity enabled by the gig economy structure of ridesharing drivers. The findings offer insights for urban transportation planning and emergency management, suggesting that integrating technology and flexible labor supply can improve resilience during urban crises.

Additional Information

  • Source:Information Systems Research (INFORMS). 2023/12, Vol. 34, Issue 4, p1775
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:1047-7047
  • DOI:10.1287/isre.2023.1212
  • Accession Number:174317156
  • Copyright Statement:Copyright of Information Systems Research (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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