The accessibility analysis of urban green spaces based on VHR images: a case study of Chongqing

Simiao Gao; Yinuo Dong; Yifan Pu; Yunxiao Jiang; Luo Guo

doi:10.1117/12.2614492

10 November 2021 The accessibility analysis of urban green spaces based on VHR images: a case study of Chongqing

Simiao Gao, Yinuo Dong, Yifan Pu, Yunxiao Jiang, Luo Guo

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205061 (2021) https://doi.org/10.1117/12.2614492
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

The urban green space (UGS) is essential for characterizing urban spatial configurations, ecological properties and environmental conservation. Thus, the urban green space is fundamental to urban planning management and renewal. UGS is mainly composed of park green areas, which are the public service facility providing people with outdoor activity spaces, so that UGS has a great impact on the protection of residents’ mental and physical health. Therefore, the reasonable layout of urban green space is of great significance. In this study, we took central area of Chongqing City as an example to study the accessibility of urban green spaces using very-high-resolution (VHR) remote sensing images by the network analysis model. The result showed that (1) both the spatial distribution information of urban green spaces and road network can be presented to provide urban-function information using VHR; (2)the accessible service area of urban green spaces in the study area accounted for 27.80% within 45 minutes;(3) and the equity of accessibility of UGS in Yuzhong District was the best.The accessibility analysis of urban green spaces is the basis of sustainable urban Planning.

Citation Download Citation

Simiao Gao, Yinuo Dong, Yifan Pu, Yunxiao Jiang, and Luo Guo "The accessibility analysis of urban green spaces based on VHR images: a case study of Chongqing", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205061 (10 November 2021); https://doi.org/10.1117/12.2614492

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KEYWORDS

Unattended ground sensors

Roads

Analytical research

Remote sensing

Network security

Resistance

Data modeling

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