2022
DOI: 10.1016/j.tra.2022.05.022
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Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach

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Cited by 49 publications
(14 citation statements)
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“…It indicates that the mode ''bikeshare-metro'' is mainly for younger users but not in the same condition for older users. Bike sharing has been considered an effective transfer mode of the metro in previous studies, but the findings in this study indicate that this bikeshare-metro mode may not be very popular among the older population (23,(48)(49)(50). Better collaboration between SBBS and buses has greater potential value for older users.…”
Section: Travel Behavior Analysismentioning
confidence: 77%
“…It indicates that the mode ''bikeshare-metro'' is mainly for younger users but not in the same condition for older users. Bike sharing has been considered an effective transfer mode of the metro in previous studies, but the findings in this study indicate that this bikeshare-metro mode may not be very popular among the older population (23,(48)(49)(50). Better collaboration between SBBS and buses has greater potential value for older users.…”
Section: Travel Behavior Analysismentioning
confidence: 77%
“…For example, regular upgrades can be implemented to improve the accessibility of metro stations, such as redesigning internal pathways and neighbourhood entrances. Moreover, public transit agencies, along with shared mobility operators, can increase the density of shared mobility services within the metro catchment areas [54]. Also, building a mobility-as-a-service platform may promote metro use, on which intermodal travel plans and fare concessions related to metro-integrated usage can be accessed.…”
Section: Discussionmentioning
confidence: 99%
“…The mode share for metro is 44.7%. Since the average daily travel volume of the Nanjing Metro between 2019 and 2020 was relatively stable ( Cheng et al, 2022b ), these data were considered suitable for combined analysis. Finally, the smart card data of 6,514,543 trips from the bus service in Nanjing for one week, from July 10 to July 16, 2020, were provided by the Nanjing Bus Corporation.…”
Section: Datamentioning
confidence: 99%