Land Use Quality Assessment and Exploration of the Driving Forces Based on Location: A Case Study in Luohe City, China

Xinyu Wang, Xinzhi Yao, Huamei Shao, Tian Bai, Yaqiong Xu, Guohang Tian, Albert Fekete and László Kollányi ()
Additional contact information
Xinyu Wang: Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary
Xinzhi Yao: China Construction Seventh Engineering Division Corp. Ltd., Zhengzhou 450004, China
Huamei Shao: Graduate School of Urban Studies, Hanyang University, Seoul 04763, Republic of Korea
Tian Bai: College of Horticulture and Landscape, Yunnan Agricultural University, Kunming 650201, China
Yaqiong Xu: College of Environmental Science and Forestry, The State University of New York, New York, NY 13210, USA
Guohang Tian: College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002, China
Albert Fekete: Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary
László Kollányi: Institute of Landscape Architecture, Urban Planning and Garden Art, Hungarian University of Agriculture and Life Sciences, 1114 Budapest, Hungary

Land, 2023, vol. 12, issue 1, 1-17

Abstract: With rapid urban population growth and industrial agglomeration, the urban land supply is becoming gradually tight. Improving land use quality (LUQ) is becoming increasingly critical. This study was carried out in the Luohe built-up zones between 2013 and 2021. The aim is to explore the growth characteristics of LUQ and determine the association between the inner urban location and the growth rate from the perspective of spatial heterogeneity. Therefore, based on a socio-economic-environmental framework, we selected an integration/GDP/population/artificial-surface Rate, and a remote-sensing-based ecological index to construct a LUQ assessment framework that is more stable and applicable for developing urban areas. Additionally, then, multiscale geographical weighted regression is adopted, which can better help us explore the scale of the location factors. The results show that: (1) The LUQ overall growth is gradually slowing. High-quality areas clustered in the urban center and subsystem elements spread outward along the national and provincial highways to drive boundary expansion; (2) In the W/E/SE direction, land use tends more towards physical sprawl than usual development and expansion; (3) Location factors were distinguished as global, semi-global, and local. The global factors constitute the homogenized locational space. Semi-global and local factors constitute a heterogeneous locational space. The latter is critical to guide LUQ growth. LUQ assessment can promote intensive land use. Exploring location factors can further guide the LUQ spatial growth and provide data in support of urban planning.

Keywords: quality assessment; driving mechanism; society-economy-environment; weighted regression; location theory (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 (2)

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