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Does bike-sharing reduce traffic congestion? Evidence from three mega-cities in China.
Xu, Xiaoxia; Zuo, Wenbin.
Affiliation
  • Xu X; School of Economics, Jinan University, Guangzhou, China.
  • Zuo W; School of Economics, Jinan University, Guangzhou, China.
PLoS One ; 19(8): e0306317, 2024.
Article de En | MEDLINE | ID: mdl-39163409
ABSTRACT
This study employs a regression discontinuity design to systematically examine the governance effect of bike-sharing on urban traffic congestion, utilizing city-level data from Beijing, Shanghai, and Wuhan in China between 2016 and 2018. We discover that the introduction of bike-sharing services significantly mitigates traffic congestion in the short term. Our heterogeneity analysis reveals that the initial deployment of shared bicycles primarily alleviates urban congestion, while additional deployments have a limited impact. Further, mechanism test analysis demonstrates that bike-sharing leads to increased metro ridership in these cities, effectively explaining the reduction in road congestion. This study underscores the pivotal role of bike-sharing services in easing urban traffic congestion and provides vital policy insights for enhancing traffic management strategies in Chinese cities.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Cyclisme / Villes Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Cyclisme / Villes Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: États-Unis d'Amérique