Research on Urban Street Network Structure Based on Spatial Syntax and POI Data

The rapid development of cities has led to increasingly problems in the road network structure of urban streets. Combining emerging big data technology with traditional street network analysis methods has become a new way to tackle it. Guilin is a famous international tourist city, and the “Two Rive...

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Bibliographic Details
Published in:Sustainability 2024-03, Vol.16 (5), p.1757
Main Authors: Yang, Luxiao, Jin, Qizhi, Fu, Feng
Format: Article
Language:English
Subjects:
Analysis
Big Data
Cities
Cognition & reasoning
Geospatial data
Location based services
Morphology
Quantitative analysis
Research methodology
Rivers
Roads & highways
Spatial analysis
Sustainable development
Transportation planning
Urban areas
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Summary:The rapid development of cities has led to increasingly problems in the road network structure of urban streets. Combining emerging big data technology with traditional street network analysis methods has become a new way to tackle it. Guilin is a famous international tourist city, and the “Two Rivers and Four Lakes” scenic area is an iconic symbol of Guilin’s scenery. Its streets connect various tourist spots. This study focused on the street’s layout of the “Two Rivers and Four Lakes” scenic area, and used a combination of spatial syntax and POI big data to analyse their spatial structure. The research results indicated that: (1) there was a positive correlation between the global integration value of the street and the POI value; (2) by combining functional density indicators with global integration analysis, streets that significantly deviate from the overall trend can be identified, and classified according to their characteristics to reveal the reasons for their contradictions; (3) we needed to propose three plans for optimizing the proportion of high street, enhancing street functions, and “improving street space” for different types of streets to ultimately realize the purpose of sustainable development of streets and cities.
ISSN:2071-1050
2071-1050
DOI:10.3390/su16051757