The Link Between Bike Sharing and Subway Use During the COVID-19 Pandemic: The Case-study of New York's Citi Bike

Overview

Journal Transp Res Interdiscip Perspect

Date 2021 Jun 26

PMID 34173457

Citations 124

Authors

Joao Filipe Teixeira

Miguel Lopes

Affiliations

Soon will be listed here.

Abstract

The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This research explored the recently published data on the operation of subway and bike share systems (BSS) during the COVID-19 outbreak in New York city, providing evidence on its impact over urban transport systems, but also on how its different components can work in conjunction. The BSS has proved to be more resilient than the subway system, with a less significant ridership drop (71% vs 90% ridership drop and 50% decrease on the ridership ratio) and an increase on its trips' average duration (from 13 min to 19 min per trip). Moreover, the study found evidence of a modal transfer from some subway users to the bike sharing system. The first effects of the free BSS programs aimed at essential service workers were also evaluated. BSS can improve the resilience of urban transport systems to disruptive events. Overall, this paper offers clues on how bike sharing, and cycling in general, can support the transition to a post-coronavirus society.

Citing Articles

New York State Climate Impacts Assessment Chapter 09: Transportation.

Macdonald A, McDonald J, Schmitt T, Cai H, Ceponis J, Cullen C Ann N Y Acad Sci. 2024; 1542(1):501-560.

PMID: 39652423 PMC: 11668498. DOI: 10.1111/nyas.15198.

Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective.

Lee S, Kim J, Cho K Sci Rep. 2024; 14(1):8981.

PMID: 38637570 PMC: 11026405. DOI: 10.1038/s41598-024-59323-w.

Impacts of the COVID-19 Pandemic on Bikeshare Usage by Rider Membership Status Across Selected U.S. Cities.

Vo T, Barbour N, Palaio L, Maness M Transp Res Rec. 2024; 2677(4):547-561.

PMID: 38603221 PMC: 9672988. DOI: 10.1177/03611981221131542.

Identifying the Determinants of Anticipated Post-Pandemic Mode Choices in the Greater Toronto Area: A Stated Preference Study.

Loa P, Habib K Transp Res Rec. 2024; 2677(6):199-217.

PMID: 38602969 PMC: 10071185. DOI: 10.1177/03611981221145133.

Impact of COVID-19 on Public Transit Accessibility and Ridership.

Wilbur M, Ayman A, Sivagnanam A, Ouyang A, Poon V, Kabir R Transp Res Rec. 2024; 2677(4):531-546.

PMID: 38602901 PMC: 10107069. DOI: 10.1177/03611981231160531.

References

Ohkusa Y, Sugawara T . Application of an individual-based model with real data for transportation mode and location to pandemic influenza. J Infect Chemother. 2007; 13(6):380-9. DOI: 10.1007/s10156-007-0556-1. View

Epstein J, Goedecke D, Yu F, Morris R, Wagener D, Bobashev G . Controlling pandemic flu: the value of international air travel restrictions. PLoS One. 2007; 2(5):e401. PMC: 1855004. DOI: 10.1371/journal.pone.0000401. View

Brownstein J, Wolfe C, Mandl K . Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United States. PLoS Med. 2006; 3(10):e401. PMC: 1564183. DOI: 10.1371/journal.pmed.0030401. View

Salgado C, Farr B, Hall K, Hayden F . Influenza in the acute hospital setting. Lancet Infect Dis. 2002; 2(3):145-55. DOI: 10.1016/s1473-3099(02)00221-9. View

Yasuda H, Yoshizawa N, Kimura M, Shigematsu M, Matsumoto M, Kawachi S . Preparedness for the spread of influenza: prohibition of traffic, school closure, and vaccination of children in the commuter towns of Tokyo. J Urban Health. 2008; 85(4):619-35. PMC: 2443241. DOI: 10.1007/s11524-008-9264-0. View

Garner J . Guideline for isolation precautions in hospitals. Part I. Evolution of isolation practices, Hospital Infection Control Practices Advisory Committee. Am J Infect Control. 1996; 24(1):24-31. DOI: 10.1016/s0196-6553(96)90050-4. View

Bridges C, Kuehnert M, Hall C . Transmission of influenza: implications for control in health care settings. Clin Infect Dis. 2003; 37(8):1094-101. DOI: 10.1086/378292. View

Cui F, Luo H, Zhou L, Yin D, Zheng C, Wang D . Transmission of pandemic influenza A (H1N1) virus in a train in China. J Epidemiol. 2011; 21(4):271-7. PMC: 3899419. DOI: 10.2188/jea.je20100119. View

Wang K . How change of public transportation usage reveals fear of the SARS virus in a city. PLoS One. 2014; 9(3):e89405. PMC: 3960095. DOI: 10.1371/journal.pone.0089405. View

10.

Ferguson N, Cummings D, Fraser C, Cajka J, Cooley P, Burke D . Strategies for mitigating an influenza pandemic. Nature. 2006; 442(7101):448-52. PMC: 7095311. DOI: 10.1038/nature04795. View

11.

Lenton T, Rockstrom J, Gaffney O, Rahmstorf S, Richardson K, Steffen W . Climate tipping points - too risky to bet against. Nature. 2019; 575(7784):592-595. DOI: 10.1038/d41586-019-03595-0. View

12.

Germann T, Kadau K, Longini Jr I, Macken C . Mitigation strategies for pandemic influenza in the United States. Proc Natl Acad Sci U S A. 2006; 103(15):5935-40. PMC: 1458676. DOI: 10.1073/pnas.0601266103. View

13.

Cooley P, Brown S, Cajka J, Chasteen B, Ganapathi L, Grefenstette J . The role of subway travel in an influenza epidemic: a New York City simulation. J Urban Health. 2011; 88(5):982-95. PMC: 3191213. DOI: 10.1007/s11524-011-9603-4. View

14.

van Doremalen N, Bushmaker T, Morris D, Holbrook M, Gamble A, Williamson B . Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1. N Engl J Med. 2020; 382(16):1564-1567. PMC: 7121658. DOI: 10.1056/NEJMc2004973. View

15.

Piso R, Albrecht Y, Handschin P, Bassetti S . Low transmission rate of 2009 H1N1 Influenza during a long-distance bus trip. Infection. 2011; 39(2):149-53. PMC: 7099280. DOI: 10.1007/s15010-011-0084-x. View

16.

Grais R, Ellis J, Kress A, Glass G . Modeling the spread of annual influenza epidemics in the U.S.: the potential role of air travel. Health Care Manag Sci. 2004; 7(2):127-34. DOI: 10.1023/b:hcms.0000020652.38181.da. View

17.

Otero I, Nieuwenhuijsen M, Rojas-Rueda D . Health impacts of bike sharing systems in Europe. Environ Int. 2018; 115:387-394. DOI: 10.1016/j.envint.2018.04.014. View