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Urban landscape accessibility evaluation model based on GIS and spatial analysis

•This paper takes urban landscape as the research object, takes GIS remote sensing images as the basic data source, and explores the method of land use information classification based on GIS and spatial analysis.•This paper studies the classification and evaluation of green space accessibility, and...

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Bibliographic Details
Published in:Results in engineering 2025-03, Vol.25, p.103723, Article 103723
Main Author: Du, Hui
Format: Article
Language:English
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Summary:•This paper takes urban landscape as the research object, takes GIS remote sensing images as the basic data source, and explores the method of land use information classification based on GIS and spatial analysis.•This paper studies the classification and evaluation of green space accessibility, and then analyzes the landscape pattern in the study area by applying the principle of landscape ecology.•Urban landscape accessibility evaluation model has been built. In order to improve the efficiency of urban landscape accessibility analysis, this paper takes urban landscape as the research object, takes GIS remote sensing images as the basic data source, and explores the method of land use information classification based on GIS and spatial analysis. Moreover, this paper studies the classification and evaluation of green space accessibility, and then analyzes the landscape pattern in the study area by applying the principle of landscape ecology, and summarizes the influence of urban landscape spatial pattern on green space accessibility. The reliability of this model is verified by experimental analysis. The model presented in this article performs well in terms of urban landscape integration, landscape area synergy, and landscape area efficiency analysis, with a user satisfaction rate of 92.31, far higher than other existing models. Therefore, the model proposed in this paper can be further verified through actual cases in the follow-up research, so as to improve the theoretical reference for the follow-up related research.
ISSN:2590-1230
2590-1230
DOI:10.1016/j.rineng.2024.103723