Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-destination level

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-02-01 DOI:10.1016/j.scs.2024.106090

Huapeng Shen , Jiancheng Weng , Pengfei Lin

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引用次数: 0

Abstract

As an essential mode of last-mile connectivity for public transit, dockless bike-sharing (DBS) has garnered increasing attention in the analysis of feeder trips. However, most previous studies have primarily focused on land use attributes around stations, neglecting the influence of factors at other stages such as trip origins and route environments. To address these gaps, this study employs XGBoost and SHAP to analyze the relationship between built environment attributes and DBS-metro integrated travel at origin-route-destination level based on multi-source geographic data such as DBS trajectory data, streetscape images, and POIs. The results indicate that route-built environment factors have a stronger influence on DBS-metro integration than traditional 5D attributes. Furthermore, the influence of built environment factors is nonlinear. When the green view index is between 0.15 and 0.25, residents are attracted to using DBS to reach the metro. Moreover, this study identifies interaction effects between cycling distance and other factors. The research findings provide scientific support for operators to allocate vehicles and transportation planners to undertake community regeneration and develop sustainable transportation systems.

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;