Cycling in a Crisis: Employing Quasi-Experimental Designs to Estimate the Effects of Provisional Bicycle Infrastructure

During the Covid-19 pandemic, provisional infrastructure was implemented to support active transportation. However, the planning community still requires deeper understandings of the relationships between provisional infrastructure and mobility. We use the example of a roadway closure in Philadelphia to investigate how one active mode—bikeshare use—changed in response to provisional infrastructure. We employ differences-in-differences models that measure the semi-causal effect of provisional infrastructure on bikeshare trip durations and find that even during the pandemic, when trip durations increased across the bikeshare system, provisional infrastructure had an additive and statistically discernible impact above and beyond the pandemic effect.

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Publication Details

Journal
Journal of Planning Education and Research
Published
2025-04-24
DOI
https://doi.org/10.1177/0739456x251330590
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
2.18
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article

Cycling in a Crisis: Employing Quasi-Experimental Designs to Estimate the Effects of Provisional Bicycle Infrastructure

Stephanie J. Nam, Joshua H. Davidson, Shriya Karam, Megan S. Ryerson
1 citations
Journal of Planning Education and Research
Urban Transport and Accessibility
2.18
article

Cycling in a Crisis: Employing Quasi-Experimental Designs to Estimate the Effects of Provisional Bicycle Infrastructure

Stephanie J. Nam, Joshua H. Davidson, Shriya Karam, Megan S. Ryerson
article en
1 citations

Abstract

During the Covid-19 pandemic, provisional infrastructure was implemented to support active transportation. However, the planning community still requires deeper understandings of the relationships between provisional infrastructure and mobility. We use the example of a roadway closure in Philadelphia to investigate how one active mode—bikeshare use—changed in response to provisional infrastructure. We employ differences-in-differences models that measure the semi-causal effect of provisional infrastructure on bikeshare trip durations and find that even during the pandemic, when trip durations increased across the bikeshare system, provisional infrastructure had an additive and statistically discernible impact above and beyond the pandemic effect.

Journal of Planning Education and ResearchVol. 46(1)
Yale University (US), Massachusetts Institute of Technology (US), Oberlin College (US), University of Pennsylvania (US)
Openalex Percentile: Top 14%
Urban Transport and Accessibility
2.18
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