Mahajan Sachit, Argota Sánchez-Vaquerizo Javier
Computational Social Science, ETH Zurich, 8092, Zurich, Switzerland.
Sci Rep. 2024 Sep 3;14(1):20493. doi: 10.1038/s41598-024-70706-x.
The global expansion of bike-sharing networks offers a cost-effective and environmentally friendly transportation alternative that complements public transit and promotes active, healthy lifestyles. Despite significant research, most studies focus on individual locations, specific environmental or health impacts, or infrastructure elements like bike lanes. Instead, this paper elaborates a comprehensive global comparison of bike-sharing systems by introducing a novel database that aggregates data from 40 cities worldwide. Our study integrates this data with population data and urban metrics to classify these networks topologically and assess their effective coverage concerning the population served and their relation with existing public transit systems. We introduce the "Bike-Share Service Accessibility Index" (BSAI), a new metric to evaluate and compare the performance of bike-sharing networks. Our findings provide valuable insights for urban planners and policymakers, offering data-driven strategies to enhance sustainable urban mobility through better-integrated and more spatially equitable bike-sharing systems.
共享单车网络的全球扩张提供了一种经济高效且环保的交通选择，它是公共交通的补充，并促进积极健康的生活方式。尽管已有大量研究，但大多数研究集中在个别地点、特定的环境或健康影响，或诸如自行车道等基础设施要素上。相反，本文通过引入一个汇总全球40个城市数据的新型数据库，对共享单车系统进行了全面的全球比较。我们的研究将这些数据与人口数据和城市指标相结合，对这些网络进行拓扑分类，并评估它们在服务人口方面的有效覆盖范围以及它们与现有公共交通系统的关系。我们引入了“共享单车服务可达性指数”（BSAI），这是一种评估和比较共享单车网络性能的新指标。我们的研究结果为城市规划者和政策制定者提供了有价值的见解，提供了数据驱动的策略，以通过更好地整合和空间上更公平的共享单车系统来增强城市可持续交通出行。
