Enhancing the resilience of urban non-motorized mobility amid rising temperatures is crucial, yet there is a lack of empirical evidence in this field. This study examines the urban mobility resilience under extreme heat events, focusing on New York City’s bike-sharing system. Utilizing the clustering method and spatial probit regression, we explore the spatial–temporal variations in the resilience of bike-sharing usage during heat extremes, and further identify key factors that contribute to the resilience of bike-sharing travel. Results show an increase in evening bike-sharing as a compensatory response to decreased daytime usage due to extreme heat, and highlight the temporal heterogeneity in bike-sharing travel resilience to extreme heat events. The regression analysis further reveals land use/land cover characteristics and income level significantly impact bike-sharing resilience, with notable variations throughout the day. These findings contribute to understanding the critical relationship between urban mobility and climate resilience, offering novel insights for urban planners and policymakers to enhance urban transportation resilience in the face of climate change.

中文翻译：

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极端高温下的城市交通弹性：来自纽约自行车共享出行的证据


在气温上升的情况下增强城市非机动出行的弹性至关重要，但该领域缺乏经验证据。这项研究探讨了极端高温事件下城市交通的恢复能力，重点关注纽约市的自行车共享系统。利用聚类方法和空间概率回归，我们探讨了极端高温期间共享单车使用弹性的时空变化，并进一步确定了影响共享单车出行弹性的关键因素。结果显示，夜间共享单车数量的增加是对极端高温造成的白天使用量减少的补偿性反应，并突显了共享单车出行对极端高温事件的恢复能力的时间异质性。回归分析进一步显示，土地利用/土地覆盖特征和收入水平显着影响自行车共享弹性，全天变化显着。这些发现有助于理解城市交通与气候适应力之间的关键关系，为城市规划者和政策制定者提供新的见解，以增强城市交通应对气候变化的适应力。