Research on the Change of Land Use Agglomeration Based on Kernel Density Estimation and Hot Spot Analysis

Aijia Zhong and Guang Yang ()
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Aijia Zhong: Tongji University
Guang Yang: Tongji University

A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 987-1003 from Springer

Abstract: Abstract The spatial agglomeration of land use is one of the most significant characteristics of the urban regional spatial pattern. It is of great significance to analyze the agglomeration changes to the guidance and management of land resources and the intensive and economical use of land in cities. This paper uses the current land use data of Baoshan District in Shanghai during the second and third national land survey to conduct kernel density estimation and hot spot analysis, and to explore the spatial agglomeration changes of various types of land use through comparison methods. The conclusions of the study show that during the period from the second national land survey to the third national land survey, Baoshan District has a large stock of construction land, commercial land agglomerates in a small area, and traffic land increases. According to the characteristics of different land use, relevant policy recommendations are put forward.

Keywords: The third national land survey; Kernel density estimation; Hot spot analysis; GIS (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_65

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DOI: 10.1007/978-981-16-3587-8_65

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