Geographic information system based urban pocket park layout control study

Yanhong Zheng; Fan Zhang; Gewei Zheng

doi:10.1117/12.2667674

10 February 2023 Geographic information system based urban pocket park layout control study

Yanhong Zheng, Fan Zhang, Gewei Zheng

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520L (2023) https://doi.org/10.1117/12.2667674
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

As urbanisation continues, problems such as spatial congestion, population concentration and lack of environmental greenery are gradually coming to the fore. The existing urban green spaces have formed a scattered layout in the city due to the needs of the service recipients, their distribution, and other environmental factors making it difficult to balance functionality and economy, thus, creating an inability to achieve the maximum extent of green space service range requirements as well as forming an organic network system. This paper adopts a geographic information system (GIS) analysis model and attempts to use technical means to analyse pocket parks in cities, focusing on the spatial distribution of residents, their composition, demand differences, the competitiveness of neighbouring parks, service facilities and the degree of road radiation. The study also explores a digital analysis-based approach to the layout of urban pocket parks, which combines the needs of residents with the spatial layout of pocket parks in a practical way. This ensures the needs of residents and the balance of spatial distribution can be fully considered. In addition, the urban habitat and ecological environment can be improved and the overall appearance of the city can be enhanced.

Citation Download Citation

Yanhong Zheng, Fan Zhang, and Gewei Zheng "Geographic information system based urban pocket park layout control study", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520L (10 February 2023); https://doi.org/10.1117/12.2667674

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