Study on the Spatial Classification of Construction Land Types in Chinese Cities: A Case Study in Zhejiang Province

Lin Dong, Jiazi Li, Yingjun Xu, Youtian Yang, Xuemin Li and Hua Zhang
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Lin Dong: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jiazi Li: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Yingjun Xu: Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China
Youtian Yang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Xuemin Li: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Hua Zhang: Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China

Land, 2021, vol. 10, issue 5, 1-14

Abstract: Identifying the land-use type and spatial distribution of urban construction land is the basis of studying the degree of exposure and the economic value of disaster-affected bodies, which are of great significance for disaster risk predictions, emergency disaster reductions, and asset allocations. Based on point of interest (POI) data, this study adopts POI spatialization and the density-based spatial clustering of applications with noise (DBSCAN) algorithm to accomplish the spatial classification of construction land. Zhejiang province is selected as a study area, and its construction land is divided into 11 land types using an accurate spatial classification method based on measuring the area of ground items. In the research, the POI dataset, which includes information, such as spatial locations and usage types, was constructed by big data cleaning and visual interpretation and approximately 620,000 pieces in total. The overall accuracy of the confusion matrix is 76.86%, which is greatly improved compared with that constructed with EULUC data (61.2%). In addition, compared with the official statistical data of 11 cities in Zhejiang Province, the differences between the calculated spatial proportions and statistics are not substantial. Meanwhile, the spatial characteristics of the studied land-use types are consistent with the urban planning data but with higher accuracy. The research shows that the construction land in Zhejiang Province has a high degree of land intensity, concentrated assets, and high economic exposure. The approach proposed in this study can provide a reference for city management including urbanization process, risk assessment, emergency management and asset allocation.

Keywords: land-use type; POI; DBSCAN; socioeconomic risk (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:5:p:523-:d:554207

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