The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China
In the context of China’s recent urbanization, the agglomeration and diffusion of the strip-city spatial network are gradually being reconstructed. The ways in which the street network structure affects the underlying logic of economic and social development is worthy of in-depth consideration. This...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-10-01
|
| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/10/11/1107 |
| _version_ | 1797509751402135552 |
|---|---|
| author | Xin Li Yongsheng Qian Junwei Zeng Xuting Wei Xiaoping Guang |
| author_facet | Xin Li Yongsheng Qian Junwei Zeng Xuting Wei Xiaoping Guang |
| author_sort | Xin Li |
| collection | DOAJ |
| description | In the context of China’s recent urbanization, the agglomeration and diffusion of the strip-city spatial network are gradually being reconstructed. The ways in which the street network structure affects the underlying logic of economic and social development is worthy of in-depth consideration. This study takes Lanzhou (a typical strip city in China) as a case study, using dynamic, geographic, big data and spatial syntactic-theory models to explore the influence of street network accessibility and structure on the spatial and temporal distribution of strip-city spatial vitality. We use Hotspot Analysis (Getis-Ord Gi*) to analyze the dispersal characteristics of street space vitality. In addition, the spatial and temporal heterogeneity characteristics and mechanism of the influence of street accessibility on spatial vitality are evaluated using the spatial Durbin model (SDM). The results show that: the temporal and spatial performance of urban vitality on weekdays and weekends conforms to people’s daily activities, offering similar spatial agglomeration and dispersion effects; accessibility and pedestrian-friendly streets have better urban spatial vitality clustering; street network integration significantly affects the reshaping of urban vitality, but there is apparent temporal heterogeneity in the degree of impact. |
| first_indexed | 2024-03-10T05:22:11Z |
| format | Article |
| id | doaj.art-e5c4085251e845a5b4a3d38c5e7a8aee |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T05:22:11Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-e5c4085251e845a5b4a3d38c5e7a8aee2023-11-23T00:00:05ZengMDPI AGLand2073-445X2021-10-011011110710.3390/land10111107The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, ChinaXin Li0Yongsheng Qian1Junwei Zeng2Xuting Wei3Xiaoping Guang4School of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, ChinaIn the context of China’s recent urbanization, the agglomeration and diffusion of the strip-city spatial network are gradually being reconstructed. The ways in which the street network structure affects the underlying logic of economic and social development is worthy of in-depth consideration. This study takes Lanzhou (a typical strip city in China) as a case study, using dynamic, geographic, big data and spatial syntactic-theory models to explore the influence of street network accessibility and structure on the spatial and temporal distribution of strip-city spatial vitality. We use Hotspot Analysis (Getis-Ord Gi*) to analyze the dispersal characteristics of street space vitality. In addition, the spatial and temporal heterogeneity characteristics and mechanism of the influence of street accessibility on spatial vitality are evaluated using the spatial Durbin model (SDM). The results show that: the temporal and spatial performance of urban vitality on weekdays and weekends conforms to people’s daily activities, offering similar spatial agglomeration and dispersion effects; accessibility and pedestrian-friendly streets have better urban spatial vitality clustering; street network integration significantly affects the reshaping of urban vitality, but there is apparent temporal heterogeneity in the degree of impact.https://www.mdpi.com/2073-445X/10/11/1107street network structureurban vitalityspatial syntaxbaidu heatmapspatial Durbin model |
| spellingShingle | Xin Li Yongsheng Qian Junwei Zeng Xuting Wei Xiaoping Guang The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China Land street network structure urban vitality spatial syntax baidu heatmap spatial Durbin model |
| title | The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China |
| title_full | The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China |
| title_fullStr | The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China |
| title_full_unstemmed | The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China |
| title_short | The Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China |
| title_sort | influence of strip city street network structure on spatial vitality case studies in lanzhou china |
| topic | street network structure urban vitality spatial syntax baidu heatmap spatial Durbin model |
| url | https://www.mdpi.com/2073-445X/10/11/1107 |
| work_keys_str_mv | AT xinli theinfluenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT yongshengqian theinfluenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT junweizeng theinfluenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT xutingwei theinfluenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT xiaopingguang theinfluenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT xinli influenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT yongshengqian influenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT junweizeng influenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT xutingwei influenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina AT xiaopingguang influenceofstripcitystreetnetworkstructureonspatialvitalitycasestudiesinlanzhouchina |