Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors
Street vitality is a key indicator of urban sustainability, and high-quality built environments can promote street vitality. However, existing research lacks refined measurement approaches for street vitality and sufficient understanding of the spatial relationship patterns between built environment...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2501769 |
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| author | Zhaocheng Bai Shuyu Huang Lei Wang Jun Qi |
| author_facet | Zhaocheng Bai Shuyu Huang Lei Wang Jun Qi |
| author_sort | Zhaocheng Bai |
| collection | DOAJ |
| description | Street vitality is a key indicator of urban sustainability, and high-quality built environments can promote street vitality. However, existing research lacks refined measurement approaches for street vitality and sufficient understanding of the spatial relationship patterns between built environment and street vitality. This study employs street view images and image detection to achieve a fine-grained measurement of street vitality. Furthermore, it utilizes methods such as the Optimal Parameter Geographical Detector, Spatial Lag Model, and Multi-scale Geographically Weighted Regression to explore the relationships between built environment factors and both pedestrian and cycling vitality, and to identify their distribution patterns and spatial effects. The findings reveal that: (1) there are significant differences in the distribution of pedestrian and cycling vitality, with varying associations with built environment factors; (2) the relationships between built environment factors and the two types of vitality differ inside and outside scenic areas; (3) both forms of vitality exhibit clear spatial lag effects, with approximately one-third of the vitality values correlated with adjacent areas; and (4) the correlation between built environment factors exhibits spatial heterogeneity. This study provides refined understanding of street vitality, offering guidance for street renewal. |
| format | Article |
| id | doaj-art-c0f7b5c4e1814e0b8a299116f9e447ea |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-c0f7b5c4e1814e0b8a299116f9e447ea2025-08-25T11:28:28ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2501769Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factorsZhaocheng Bai0Shuyu Huang1Lei Wang2Jun Qi3College of Architecture and Urban Planning, Tongji University, Shanghai, People’s Republic of ChinaCollege of Architecture and Urban Planning, Tongji University, Shanghai, People’s Republic of ChinaSchool of Architecture, Tianjin University, Tianjin, People’s Republic of ChinaCollege of Landscape Architecture and Horticulture, Southwest Forestry University, Kunming, People’s Republic of ChinaStreet vitality is a key indicator of urban sustainability, and high-quality built environments can promote street vitality. However, existing research lacks refined measurement approaches for street vitality and sufficient understanding of the spatial relationship patterns between built environment and street vitality. This study employs street view images and image detection to achieve a fine-grained measurement of street vitality. Furthermore, it utilizes methods such as the Optimal Parameter Geographical Detector, Spatial Lag Model, and Multi-scale Geographically Weighted Regression to explore the relationships between built environment factors and both pedestrian and cycling vitality, and to identify their distribution patterns and spatial effects. The findings reveal that: (1) there are significant differences in the distribution of pedestrian and cycling vitality, with varying associations with built environment factors; (2) the relationships between built environment factors and the two types of vitality differ inside and outside scenic areas; (3) both forms of vitality exhibit clear spatial lag effects, with approximately one-third of the vitality values correlated with adjacent areas; and (4) the correlation between built environment factors exhibits spatial heterogeneity. This study provides refined understanding of street vitality, offering guidance for street renewal.https://www.tandfonline.com/doi/10.1080/17538947.2025.2501769Street vitalityimage detectionbuilt environmentspatial lagspatial heterogeneity |
| spellingShingle | Zhaocheng Bai Shuyu Huang Lei Wang Jun Qi Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors International Journal of Digital Earth Street vitality image detection built environment spatial lag spatial heterogeneity |
| title | Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| title_full | Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| title_fullStr | Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| title_full_unstemmed | Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| title_short | Refined understanding of street vitality: comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| title_sort | refined understanding of street vitality comparing the spatial effects of pedestrian vitality and cycling vitality and the spatial heterogeneity of factors |
| topic | Street vitality image detection built environment spatial lag spatial heterogeneity |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2501769 |
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