Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile
Most crowding measures in public transportation are usually aggregated at a service level. This type of aggregation does not help to analyze microscopic behavior such as exposure risk to viruses. To bridge such a gap, this paper proposes four novel crowding measures that might be well suited to proxy virus exposure risk at public transport. In addition, the authors conduct a case study in Santiago, Chile, using smart card data of the buses system to compute the proposed measures for three different and relevant periods of the COVID-19 pandemic: before, during, and after Santiago’s lockdown. They find that the governmental policies diminish public transport crowding considerably for the lockdown phase. The average exposure time when social distancing is not possible passes from 6.39 min before lockdown to 0.03 min during the lockdown, while the average number of encountered persons passes from 43.33 to 5.89. The authors shed light on how the pandemic impacts differ across various population groups in society. The findings suggest that poorer municipalities returned faster to crowding levels similar to those before the pandemic.
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Supplemental Notes:
- © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Basso, Franco
- Frez, Jonathan
- Hernández, Hugo
- Leiva, Víctor
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0000-0003-4755-3270
- Pezoa, Raúl
- Varas, Mauricio
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 104712
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Serial:
- Sustainable Cities and Society
- Volume: 96
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-6707
- Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2
Subject/Index Terms
- TRT Terms: Bus transit; COVID-19; Crowds; Smart cards; Travel restrictions; Virus transmission
- Geographic Terms: Santiago (Chile)
- Subject Areas: Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01887604
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 17 2023 2:44PM