Work

Assessing resilience of urban bike-sharing systems: Weather and land-use influences on demand dynamics

Year: 2026

Type: article

Abstract: • Demand resilience of urban bike-sharing stations varies by land-use factors. • XGBoost-SHAP predicts demand and quantifies land-use impacts under extreme weather. • Higher street density and downtown proximity enhance demand stability. • Recreational and commercial POIs significantly affect demand resilience in Summer. • Connectivity to public transit significantly stabilizes demand in winter weather.

Source: Cities

DOI: 10.1016/j.cities.2026.107152

Authors: Xinghang Zhu, Xudong Wang, Lijun Sun, Luis Miranda-Moreno

Institutions: McGill University, University of Waterloo

Language: English

Topic: Urban Transport and Accessibility

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Climate action, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,000