The Impact of Built Environment on Mixed Land Use: Evidence from Xi’an
Jianwei Li,
Yun Chen,
Dan Zhao () and
Jiagang Zhai
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Jianwei Li: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Yun Chen: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Dan Zhao: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Jiagang Zhai: College of Urban and Environmental Science, Northwest University, Xi’an 710127, China
Land, 2024, vol. 13, issue 12, 1-19
Abstract:
Mixed land use is recognized as a crucial strategy for enhancing urban vitality and promoting urban renewal. While existing research has mainly focused on measuring mixed land use along single dimensions, there remains a notable gap in studies that explore multidimensional measurements and their impacts at the block scale. This study introduces a multidimensional mixed-degree index based on diverse data sources such as POI and land use status to comprehensively assess mixed land use levels at the block scale in Xi’an’s central urban area. Additionally, a multiple linear regression model is applied to analyze how the built environment influences mixed land use. Findings reveal that mixed land use at the block scale can be objectively evaluated across three dimensions: quantity, distance, and attribute. In Xi’an, mixed land use demonstrates a spatial distribution characterized by core agglomeration and concentric decline. The study highlights that block area and road network density significantly influence mixed land use, with block area negatively impacting it the most and road network density positively affecting it secondarily. These insights provide valuable guidance for optimizing land use practices and promoting high-quality urban development.
Keywords: mixed land use; mixed-degree index; built environment; impact mechanism; Xi’an (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:13:y:2024:i:12:p:2214-:d:1546352
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