Bike Sharing and Urban Mobility in a Post-Pandemic World

The Covid-19 pandemic has abruptly changed well-established mobility patterns, as the need for social distancing and lockdown orders have driven citizens to reduce their movements and avoid crowded mass transit. In this context, we look at the case of New York City's bike sharing system, one of...

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Main Authors: Francesco Pase, Federico Chiariotti, Andrea Zanella, Michele Zorzi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9222181/
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spelling doaj-ab12866251004ee9bd9e63c1637c7af02021-03-30T03:46:39ZengIEEEIEEE Access2169-35362020-01-01818729118730610.1109/ACCESS.2020.30308419222181Bike Sharing and Urban Mobility in a Post-Pandemic WorldFrancesco Pase0https://orcid.org/0000-0003-0116-8852Federico Chiariotti1https://orcid.org/0000-0002-7915-7275Andrea Zanella2https://orcid.org/0000-0003-3671-5190Michele Zorzi3https://orcid.org/0000-0003-2870-4678Department of Information Engineering, University of Padova, Padova, ItalyDepartment of Electronic Systems, Aalborg University, Aalborg, DenmarkDepartment of Information Engineering, University of Padova, Padova, ItalyDepartment of Information Engineering, University of Padova, Padova, ItalyThe Covid-19 pandemic has abruptly changed well-established mobility patterns, as the need for social distancing and lockdown orders have driven citizens to reduce their movements and avoid crowded mass transit. In this context, we look at the case of New York City's bike sharing system, one of the largest in the world, to gain insights on the socio-economic variables behind urban mobility during a pandemic. We exploit several sources of Smart City data to analyze the relationship between bike sharing, public transport, and other modes of transportation, deriving interesting insights for future urban planning, both city-wide and at the neighborhood level. The New York City case study shows some of the most important trends during the lockdown, and the combination between mobility and socio-economic data can be used to understand the consequences of the pandemic on different communities, as well as the future directions of expansion and management of the bike sharing system and urban infrastructure.https://ieeexplore.ieee.org/document/9222181/Bike sharingCovid-19smart cityurban mobilityurban planning
collection DOAJ
language English
format Article
sources DOAJ
author Francesco Pase
Federico Chiariotti
Andrea Zanella
Michele Zorzi
spellingShingle Francesco Pase
Federico Chiariotti
Andrea Zanella
Michele Zorzi
Bike Sharing and Urban Mobility in a Post-Pandemic World
IEEE Access
Bike sharing
Covid-19
smart city
urban mobility
urban planning
author_facet Francesco Pase
Federico Chiariotti
Andrea Zanella
Michele Zorzi
author_sort Francesco Pase
title Bike Sharing and Urban Mobility in a Post-Pandemic World
title_short Bike Sharing and Urban Mobility in a Post-Pandemic World
title_full Bike Sharing and Urban Mobility in a Post-Pandemic World
title_fullStr Bike Sharing and Urban Mobility in a Post-Pandemic World
title_full_unstemmed Bike Sharing and Urban Mobility in a Post-Pandemic World
title_sort bike sharing and urban mobility in a post-pandemic world
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The Covid-19 pandemic has abruptly changed well-established mobility patterns, as the need for social distancing and lockdown orders have driven citizens to reduce their movements and avoid crowded mass transit. In this context, we look at the case of New York City's bike sharing system, one of the largest in the world, to gain insights on the socio-economic variables behind urban mobility during a pandemic. We exploit several sources of Smart City data to analyze the relationship between bike sharing, public transport, and other modes of transportation, deriving interesting insights for future urban planning, both city-wide and at the neighborhood level. The New York City case study shows some of the most important trends during the lockdown, and the combination between mobility and socio-economic data can be used to understand the consequences of the pandemic on different communities, as well as the future directions of expansion and management of the bike sharing system and urban infrastructure.
topic Bike sharing
Covid-19
smart city
urban mobility
urban planning
url https://ieeexplore.ieee.org/document/9222181/
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