Optimizing Living Service Amenities for Diverse Urban Residents: A Supply and Demand Balancing Analysis

Kangxu Wang, Weifeng Wang, Tongtong Li, Shengjun Wen, Xin Fu () and Xinhao Wang
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Kangxu Wang: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
Weifeng Wang: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
Tongtong Li: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
Shengjun Wen: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
Xin Fu: College of Landscape Architecture and Arts, Northwest A&F University, Xianyang 712100, China
Xinhao Wang: School of Planning, University of Cincinnati, Cincinnati, OH 45221, USA

Sustainability, 2023, vol. 15, issue 16, 1-24

Abstract: Urban residents’ well-being relies on fair access to living service amenities. To plan better living service amenities, planners need to balance supply and demand and find gaps and opportunities. We performed a spatial analysis of 2645 residential complexes in Xi’an, Shaanxi, China’s built-up area, using POI (Point of Interest), AOI (Area of Interest), and census and property data. We measured the supply status of 14 living service amenities by their number and distance and estimated the demand status of residents by their number and age. We also used location entropy and coupling coordination degree to measure the balance status. The results showed a spatial mismatch between supply and demand, with more amenities in the urban center where fewer and older residents lived, and fewer amenities in the suburbs where more and younger residents lived. The urban center had a location benefit but a lower coupling degree. The imbalance was mainly due to land finance and geographical segregation from unequal resource distribution. We also gave a visualization tool for planners to check any residential complex’s status and make informed decisions for amenity planning and construction.

Keywords: amenities; supply and demand; residential complex; population; spatial mismatch; multi-source data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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