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Disparities in resilience and recovery of ridesourcing usage during Covid-19

Bibliographic Data

ID12295495
AuthorsSicheng Wang (0000-0002-2143-767X, University of South Carolina, corresponding author), Xiao Huang (0000-0002-4323-382X, Emory University), Qi Shen (0009-0008-4243-0830), Qing Shen (0000-0002-0968-7377, University of Washington)
Year2023
Volume114
Pages103745-103745
Publication date2023-11-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Transport Geography (JOURNAL)
Journal identifiersISSN: 0966-6923 • E-ISSN: 1873-1236
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jtrangeo.2023.103745
OpenAlexW4388808310
LanguageEN
Citations received1
References cited40

Census · Census tract · Coronavirus disease 2019 (COVID-19 · Environmental health · Geography · Multinomial logistic regression · Resilience (materials science · Statistics · Mathematics · Medicine · Transportation and Mobility Innovations · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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    Open Access•Matthew J Beck, David A Hensher•Transport Policy•2020

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    Open Access•Haitao Yu, Zhong‐ren Peng•Journal of Transport Geography•2019

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    Open Access•Patrick Meredith-Karam, H Kong et al.•Journal of Transport Geography•2021

  • Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Open Access•Xiang Yan, Xinyu Liu et al.•Journal of Transport Geography•2020

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  • Ridesourcing, the sharing economy, and the future of cities

    Open Access•Scarlett T Jin, Hui Kong et al.•Cities•2018

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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