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Optimizing Perceived Jogging Supportiveness for Enhanced Sustainable Greenway Design Based on Computer Vision: Implications of the Nonlinear Influence of Perceptual and Physical Characteristics

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  • Yuhan Liu

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    These authors contributed equally to this work.)

  • Nuo Xu

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    These authors contributed equally to this work.)

  • Chang Liu

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    These authors contributed equally to this work.)

  • Jiayi Zhao

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yongrong Zheng

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

Active transportation and lifestyles are important components of a sustainable city. Greenways play a crucial role in providing conducive environments for jogging. To investigate the influence of micro-scale characteristics on perceived jogging supportiveness (PJS), 230 video clips of greenways within Fuzhou City were collected as samples. PJS was evaluated using a Likert scale, perceptual characteristics were assessed through a semantic difference scale, and physical characteristics were computed via semantic segmentation. By employing SHAP values and dependence plots within an XGBoost framework, the findings reveal the following: (1) Regarding perceptual characteristics, continuity, culture, and facility affordance exhibit the highest relative importance to PJS (|SHAP| ≥ 0.1). Continuity, naturalness, and vitality generally have positive impacts on PJS, while disturbance is negative. Facility affordance, scale, culture, openness, and brightness demonstrate more complex nonlinear influences that suggest optimal value ranges. (2) Concerning physical characteristics, fences, motor vehicles, and surface material are deemed most influential (|SHAP| ≥ 0.1). The presence of fences, walls, and construction generally negatively affect PJS, while excessive openness is also unfavorable. Comfortable road surfaces are associated with higher levels of PJS. Natural elements and the presence of people and vehicles have promoting effects up to certain thresholds, but beyond that point, they exert opposite influences. Finally, suggestions for designing greenways that encourage jogging are proposed. This study provides practical references for optimizing greenway design to promote active transportation and lifestyles, reinforcing the contribution of green infrastructure to public health in sustainable cities.

Suggested Citation

  • Yuhan Liu & Nuo Xu & Chang Liu & Jiayi Zhao & Yongrong Zheng, 2024. "Optimizing Perceived Jogging Supportiveness for Enhanced Sustainable Greenway Design Based on Computer Vision: Implications of the Nonlinear Influence of Perceptual and Physical Characteristics," Sustainability, MDPI, vol. 16(22), pages 1-31, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:10038-:d:1523208
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    References listed on IDEAS

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