Bikeshare is increasingly recognized as a healthy travel behaviour worldwide. However, issues of inequity in bike-sharing usage exist and hinder the social benefits of bike-sharing system. This paper aims to unveil the spatiotemporal evolution of inequalities in bike-sharing usage and their social-built environment correlates, using Chicago’s Divvy system as a case study. Specifically, Gini coefficients and panel data regression models are applied to analyse equity concerns in bike-sharing uses and its social-built environmental factors. Thirty-two disadvantaged communities and forty-five non-disadvantaged communities are identified based on ethnicity, income, and education levels. The Gini index indicates a greater level of inequity and inconsistency in bike-sharing usage within disadvantaged communities compared to non-disadvantaged communities over time. Model results further reveal that built environment factors such as park space positively impact equitable bike-sharing uses in disadvantaged communities. In contrast, the social factor of educational levels in non-disadvantaged communities shows a negative relationship. These findings aim to promote essential, efficient, and equitable bike-sharing usage for Chicago, stakeholders and users.

中文翻译：

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社会营造环境对共享单车使用不平等的影响：以芝加哥 Divvy 系统为例


共享单车在全球范围内越来越被认为是一种健康的出行行为。然而，共享单车使用中存在的不公平问题阻碍了共享单车系统的社会效益的发挥。本文旨在以芝加哥的 Divvy 系统作为案例研究，揭示自行车共享使用不平等的时空演变及其社会构建环境的相关性。具体来说，基尼系数和面板数据回归模型被用来分析共享单车使用中的公平问题及其社会环境因素。根据种族、收入和教育水平确定了 32 个弱势社区和 45 个非弱势社区。基尼指数表明，随着时间的推移，与非弱势社区相比，弱势社区的自行车共享使用存在更大程度的不平等和不一致。模型结果进一步表明，公园空间等建筑环境因素对弱势社区的公平自行车共享使用产生积极影响。相比之下，非弱势群体的教育水平的社会因素则表现出负相关关系。这些发现旨在促进芝加哥、利益相关者和用户基本、高效和公平的自行车共享使用。