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...

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Autores principales: Xin Li, Yongsheng Qian, Junwei Zeng, Xuting Wei, Xiaoping Guang
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/e5c4085251e845a5b4a3d38c5e7a8aee
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spelling oai:doaj.org-article:e5c4085251e845a5b4a3d38c5e7a8aee2021-11-25T18:08:53ZThe Influence of Strip-City Street Network Structure on Spatial Vitality: Case Studies in Lanzhou, China10.3390/land101111072073-445Xhttps://doaj.org/article/e5c4085251e845a5b4a3d38c5e7a8aee2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1107https://doaj.org/toc/2073-445XIn 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.Xin LiYongsheng QianJunwei ZengXuting WeiXiaoping GuangMDPI AGarticlestreet network structureurban vitalityspatial syntaxbaidu heatmapspatial Durbin modelAgricultureSENLand, Vol 10, Iss 1107, p 1107 (2021)
institution DOAJ
collection DOAJ
language EN
topic street network structure
urban vitality
spatial syntax
baidu heatmap
spatial Durbin model
Agriculture
S
spellingShingle street network structure
urban vitality
spatial syntax
baidu heatmap
spatial Durbin model
Agriculture
S
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
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.
format article
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
title 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_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_sort influence of strip-city street network structure on spatial vitality: case studies in lanzhou, china
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e5c4085251e845a5b4a3d38c5e7a8aee
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