Urban mobility resilience under heat extremes: Evidence from bike-sharing travel in New York

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.