Bike-sharing is a convenient and sustainable mode of transport with significant potential for promoting green travel and improving accessibility. However, spatial inequalities in bike-sharing services often prevent full realisation of these benefits. While numerous studies have investigated bike-sharing equity, most focused on access to bike-sharing facilities, neglecting the ability to reach desired urban destinations using shared bikes. To address this gap, this  chapter introduces an enhanced accessibility model, termed service-opportunity accessibility (SOA), which incorporates both the attractiveness and accessibility of urban opportunities for bike-sharing trips. Using the kernel density-based balanced floating catchment area (KDBFCA) method, this study evaluates the equity of dockless bike-sharing services based on the utility they provide to users. By applying this model to multi-source urban data, we assess the equity of dockless bike-sharing in Ningbo, China. The results reveal spatial and demographic inequalities, with disadvantaged groups, including residents of peripheral areas and non-local inhabitants, experiencing lower levels of accessibility. These findings highlight the need for more inclusive urban transport policies to enhance equity in dockless bike-sharing services.

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Analyse Spatial Accessibility and Equity of Dockless Bike-Sharing

  • Yongping Zhang

摘要

Bike-sharing is a convenient and sustainable mode of transport with significant potential for promoting green travel and improving accessibility. However, spatial inequalities in bike-sharing services often prevent full realisation of these benefits. While numerous studies have investigated bike-sharing equity, most focused on access to bike-sharing facilities, neglecting the ability to reach desired urban destinations using shared bikes. To address this gap, this  chapter introduces an enhanced accessibility model, termed service-opportunity accessibility (SOA), which incorporates both the attractiveness and accessibility of urban opportunities for bike-sharing trips. Using the kernel density-based balanced floating catchment area (KDBFCA) method, this study evaluates the equity of dockless bike-sharing services based on the utility they provide to users. By applying this model to multi-source urban data, we assess the equity of dockless bike-sharing in Ningbo, China. The results reveal spatial and demographic inequalities, with disadvantaged groups, including residents of peripheral areas and non-local inhabitants, experiencing lower levels of accessibility. These findings highlight the need for more inclusive urban transport policies to enhance equity in dockless bike-sharing services.