Paper
14 June 2023 Study on the spatial-temporal differentiation of road network density and its relationship with urban form in Greater Bay Area of Guangdong, Hong Kong and Macao
Shaopei Chen, HuiXia Zhang, Xianpin Ou
Author Affiliations +
Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023); 1270814 (2023) https://doi.org/10.1117/12.2684022
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 2023, Chongqing, China
Abstract
Based on the road network development of the urban agglomeration of Greater Bay Area of Guangdong, Hong Kong and Macao (GBAGHM) from 2014 to 2020, this paper focuses on evaluating and characterizing the spatial-temporal evolution and differentiation characteristics of road network density and its relationship with the urban form development, with the integration of the data of point of interest (POI), population, land, and economy, as well as the support of geographical information system (GIS). The result indicates that the weighted kernel density of road network in GBAGHM has significant characteristics of spatial clustering and regional differences. The urban core areas of the major cities of Guangzhou, Foshan and Shenzhen abnormal high aggregation of road network density. Furthermore, the spatial distribution pattern of road network is closely related to the spatial aggregation characteristics of urban form.
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Shaopei Chen, HuiXia Zhang, and Xianpin Ou "Study on the spatial-temporal differentiation of road network density and its relationship with urban form in Greater Bay Area of Guangdong, Hong Kong and Macao", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023), 1270814 (14 June 2023); https://doi.org/10.1117/12.2684022
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KEYWORDS
Roads

Autocorrelation

Transportation

Geographic information systems

Statistical analysis

Data modeling

Mathematical modeling

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