2021International Conference on Smart Transportation and City Engineering 2021Requires access

Assessing the accessibility of urban green spaces in the central Wuhan based on geographic information system and remote sensing

Zhicheng Tang, Yiheng Wang, Zheng Yang, Yunxiao Jiang, Luo Guo

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Abstract

Urban green space (UGS), as public services facilities that provide lots of outdoor space for people’s activities and exercise, has a significant impact on urban residents' social, psychological, and physical benefits. The reasonable distribution of the urban green space is of great significance for enhancing the overall well-being of urban dwellers. In this study, we selected Wuhan City center as a research area, extracted the spatial distribution information of urban green space, roads networks from high-resolution remote sensing images in 2019. The urban green space service situation in different travel modes, travel times, and parks types are subsequently calculated with a network analysis model in GIS. The results showed that the services area of urban green space in the city center of Wuhan was within a driving distance of 30 min, accounting for 70.38% of the total study area, and the use of high-resolution remote images spatial data can measure equity on a more precise scale.

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What this paper is about

Urban green space (UGS), as public services facilities that provide lots of outdoor space for people’s activities and exercise, has a significant impact on urban residents' social, psychological, and physical benefits. The reasonable distribution of the urban green space is of great significance for enhancing the overall well-being of urban dwellers. In this study, we selected Wuhan City center as a research area, extracted the spatial distribution information of urban green space, roads networks from high-resolution remote sensing images in 2019. The urban green space service situation in different travel modes, travel times, and parks types are subsequently calculated with a network analysis model in GIS. The results showed that the services area of urban green space in the city center of Wuhan was within a driving distance of 30 min, accounting for 70.38% of the total study area, and the use of high-resolution remote images spatial data can measure equity on a more precise scale.

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Available abstract

Urban green space (UGS), as public services facilities that provide lots of outdoor space for people’s activities and exercise, has a significant impact on urban residents' social, psychological, and physical benefits. The reasonable distribution of the urban green space is of great significance for enhancing the overall well-being of urban dwellers. In this study, we selected Wuhan City center as a research area, extracted the spatial distribution information of urban green space, roads networks from high-resolution remote sensing images in 2019. The urban green space service situation in different travel modes, travel times, and parks types are subsequently calculated with a network analysis model in GIS. The results showed that the services area of urban green space in the city center of Wuhan was within a driving distance of 30 min, accounting for 70.38% of the total study area, and the use of high-resolution remote images spatial data can measure equity on a more precise scale.

Key concepts: Geographic information system, Remote sensing, Computer science, Geography

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