Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago
The COVID-19 pandemic and the subsequent measures taken to control its spread had deep impacts on transportation behavior. This paper presents a methodology for evaluating the changes in bike-share use and focuses on the identification of extraordinary trip-making activity seen in Chicago’s Divvy bi...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198224000010 |
| _version_ | 1797338223283798016 |
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| author | Adrian Hernandez Meredith Raymer Ying Chen |
| author_facet | Adrian Hernandez Meredith Raymer Ying Chen |
| author_sort | Adrian Hernandez |
| collection | DOAJ |
| description | The COVID-19 pandemic and the subsequent measures taken to control its spread had deep impacts on transportation behavior. This paper presents a methodology for evaluating the changes in bike-share use and focuses on the identification of extraordinary trip-making activity seen in Chicago’s Divvy bike-share program prior to and over the course of the COVID-19 pandemic. An analysis period from January 2018 to April 2021 was subdivided into three time periods: pre-pandemic, citywide lockdown, and post-lockdown for all census tracts within the city of Chicago. Over the analysis window defined, an anomaly detection algorithm was used to characterize the nature of bike-share usage where anomalous trips were those that fell outside of the forecasted ranges. The changes in census tract-level bike-share usage were used to interpret how static census tract-level attributes—land use, transit connectivity, demographics, and bike infrastructure—may have contributed to varying responses across the city’s bike-share system. Principal component analysis was used to interpret the relationship between the dynamic trip-making characterizations and the static census tract-level attributes. Census tracts that transitioned from exhibiting below average to above average bike-share trip-making tended to have highly correlated bike infrastructure metrics. On the other hand, census tracts with consistently above average trip-making had highly correlated demographic characteristics, the values of which were consistent with their standing as key communities for service and essential workers. Overall, results indicate that post-lockdown, bike-sharing activity had grown significantly across the entire city, supporting the claim that the pandemic worked to accelerate bicycling uptake in urban areas. |
| first_indexed | 2024-03-08T09:27:55Z |
| format | Article |
| id | doaj.art-7973a994bcca4c389d02a30d5f5e2caa |
| institution | Directory Open Access Journal |
| issn | 2590-1982 |
| language | English |
| last_indexed | 2024-03-08T09:27:55Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj.art-7973a994bcca4c389d02a30d5f5e2caa2024-01-31T05:45:33ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822024-01-0123101015Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in ChicagoAdrian Hernandez0Meredith Raymer1Ying Chen2Department of Civil and Environmental Engineering, Northwestern University, 600 Foster St, Evanston, IL 60208, United StatesDepartment of Civil and Environmental Engineering, Northwestern University, 600 Foster St, Evanston, IL 60208, United StatesCorresponding author.; Department of Civil and Environmental Engineering, Northwestern University, 600 Foster St, Evanston, IL 60208, United StatesThe COVID-19 pandemic and the subsequent measures taken to control its spread had deep impacts on transportation behavior. This paper presents a methodology for evaluating the changes in bike-share use and focuses on the identification of extraordinary trip-making activity seen in Chicago’s Divvy bike-share program prior to and over the course of the COVID-19 pandemic. An analysis period from January 2018 to April 2021 was subdivided into three time periods: pre-pandemic, citywide lockdown, and post-lockdown for all census tracts within the city of Chicago. Over the analysis window defined, an anomaly detection algorithm was used to characterize the nature of bike-share usage where anomalous trips were those that fell outside of the forecasted ranges. The changes in census tract-level bike-share usage were used to interpret how static census tract-level attributes—land use, transit connectivity, demographics, and bike infrastructure—may have contributed to varying responses across the city’s bike-share system. Principal component analysis was used to interpret the relationship between the dynamic trip-making characterizations and the static census tract-level attributes. Census tracts that transitioned from exhibiting below average to above average bike-share trip-making tended to have highly correlated bike infrastructure metrics. On the other hand, census tracts with consistently above average trip-making had highly correlated demographic characteristics, the values of which were consistent with their standing as key communities for service and essential workers. Overall, results indicate that post-lockdown, bike-sharing activity had grown significantly across the entire city, supporting the claim that the pandemic worked to accelerate bicycling uptake in urban areas.http://www.sciencedirect.com/science/article/pii/S2590198224000010Bike-shareAnomaly detectionCOVID-19InfrastructureGeospatialMobility |
| spellingShingle | Adrian Hernandez Meredith Raymer Ying Chen Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago Transportation Research Interdisciplinary Perspectives Bike-share Anomaly detection COVID-19 Infrastructure Geospatial Mobility |
| title | Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago |
| title_full | Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago |
| title_fullStr | Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago |
| title_full_unstemmed | Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago |
| title_short | Where did bike-share boom? Analyzing impact of infrastructure lockdowns on bike-sharing in Chicago |
| title_sort | where did bike share boom analyzing impact of infrastructure lockdowns on bike sharing in chicago |
| topic | Bike-share Anomaly detection COVID-19 Infrastructure Geospatial Mobility |
| url | http://www.sciencedirect.com/science/article/pii/S2590198224000010 |
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