Factors affecting mobility choices during COVID-19 era: A case study on New York City
This study aims to identify the factors affecting the mobility choices (e.g., transit, car, walk) during COVID-19 in New York City. Despite the fact that the COVID-19 pandemic evolved over time, most of the current studies are heavily relied on cross-sectional datasets to understand individuals' mobility choices during the COVID-19 pandemic. To address this gap, this study uses time-series and panel datasets and estimated aggregate and disaggregate level models to assess individuals' mobility choices. The time-series data comes from the NYC’s Health Department, Apple’s Mobility Trends Reports, Google’s COVID-19 Community Mobility Reports, Local Area Unemployment Statistics (LAUS) Program and the American Community Survey (ACS).A series of time-series models are estimated using this fused data. The second dataset is from the New York City Department of Transportation's (NYC DOT) Citywide Mobility Survey (CMS). A series of econometric models are estimated using this dataset. The time-series model shows that walking demand increases with increased trips to transit stations, residential areas, and parks. It is also found that the demand for transit stations is a significant predictor of walking mobility in NYC. The transit station, residential, and parks variables have a positive sign indicating that with increased trips to these locations, individuals will tend to walk more. The econometric model shows that individuals who experienced reduced hours or pay cut at the workplace are more likely to driving and less likely to use the bus. However, individuals who are laid off from the job are less likely to drive and use transit.
- Record URL:
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Supplemental Notes:
- This paper was sponsored by TRB committee AEP30 Standing Committee on Traveler Behavior and Values.
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Corporate Authors:
Transportation Research Board
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Authors:
- Drummond, Justin
- Lee, Jason D
- Sehnawi, Kenan
- Sadri, Arif Mohaimin
- Hasnine, Md Sami
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Conference:
- Transportation Research Board 101st Annual Meeting
- Location: Washington DC, United States
- Date: 2022-1-9 to 2022-1-13
- Date: 2022
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 18p
Subject/Index Terms
- TRT Terms: Case studies; COVID-19; Econometric models; Panel studies; Time series; Travel behavior
- Geographic Terms: New York (New York)
- Subject Areas: Economics; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Security and Emergencies;
Filing Info
- Accession Number: 01832360
- Record Type: Publication
- Report/Paper Numbers: TRBAM-22-04905
- Files: TRIS, TRB, ATRI
- Created Date: Jan 11 2022 1:37PM