Cycling Greenway Planning towards Sustainable Leisure and Recreation: Assessing Network Potential in the Built Environment of Chengdu

Suyang Yuan, Weiwei Dai, Yunhan Zhang and Jianqiang Yang ()
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Suyang Yuan: Department of City Planning, School of Architecture, Southeast University, Nanjing 210096, China
Weiwei Dai: Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing 210096, China
Yunhan Zhang: College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Jianqiang Yang: Department of City Planning, School of Architecture, Southeast University, Nanjing 210096, China

Sustainability, 2024, vol. 16, issue 14, 1-26

Abstract: In the quest to enhance urban green mobility and promote sustainable leisure activities, this study presents a comprehensive analysis of the potential for cycling greenways within the urban fabric of Chengdu, China. Leveraging the built environment and cycling routes, simulated by dockless bike-sharing (DBS) big data on weekend afternoons, the cycling flow on existing networks reflects the preference for leisure cycling in surroundings, thus indicating the potential for future enhancements to cycling greenway infrastructure. Employing Multi-Scale Geographically Weighted Regression (MGWR), this research captures the spatial heterogeneity in environmental factors influencing leisure cycling behaviors. The findings highlight the significant roles of mixed land use, network diversity, public transit accessibility, human-scale urban design, road network thresholds, and the spatially variable impacts of architectural form in determining cycling greenway potential. This study culminates with the development of an evaluation model, offering a scientific approach for cities to identify and prioritize the expansion of cycling infrastructure. Contributing to urban planning efforts for more livable and sustainable environments, this research underscores the importance of data-driven decision-making in urban green mobility enhancement by accurately identifying and efficiently upgrading infrastructure guided by public preferences.

Keywords: cycling greenways; dockless bike-sharing (DBS); leisure cycling behavior; sustainable urban mobility; greenway planning; multi-scale geographically weighted regression (MGWR) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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