Predicting Urban Expansion to Assess the Change of Landscape Character Types and Its Driving Factors in the Mountain City

Jinsen Mou, Zhaofang Chen () and Junda Huang
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Jinsen Mou: Shanghai Garden (Group) Ltd., Shanghai 200092, China
Zhaofang Chen: Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
Junda Huang: Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China

Land, 2023, vol. 12, issue 4, 1-20

Abstract: The urban landscape is being affected by rapid urbanization, leading to a complexity of land features and a fragmentation of patches. However, many studies have focused on the prediction of land-use change with a lack of research on the landscape character types which have more integrated descriptions of land features. Hence, this study predicts and identifies landscape character types (LCTs) in different periods based on the PLUS model and the K-Medoids algorithm, taking the central city of Chongqing as an example, to reveal the differences in the influence of driving factors on LCTs. The results show that (1) the urban landscape characteristic types present a gradient change from the built-up area to the outward expansion. (2) The SHDI and LPI of landscape character types decreased significantly with the expansion of construction land. (3) Nighttime light, distance from water bodies, and distance from the motorways are the main factors affecting the change of landscape character types. This study predicts and identifies urban landscape character types and quantifies the impact of urban expansion on landscape character. It can be used to guide urban planning and help governments to make more informed decisions on sustainable urban development and ecological conservation.

Keywords: land-use change; the PLUS model; K-medoids cluster; landscape management (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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