Socioeconomic Factors Influence the Spatial and Temporal Distribution of Blue–Green Infrastructure Demand: A Case of Nanjing City

Haixia Zhao (), Binjie Gu, Jinding Fan, Junqi Wang and Liancong Luo ()
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Haixia Zhao: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Binjie Gu: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Jinding Fan: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Junqi Wang: Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Liancong Luo: Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650504, China

IJERPH, 2023, vol. 20, issue 5, 1-20

Abstract: Blue–green infrastructure provides a variety of ecosystem services and is becoming an increasingly vital part of urban ecosystem protection. It is an ecological facility for ecological conservation and environmental protection, and a foundation for realizing people’s needs for a better life. This study selects indicators from four dimensions: social, economic, environmental, and ecological, and the demand for blue–green infrastructure is assessed comprehensively. The results show that: (1) the demand for blue–green infrastructure varies spatially with the development of the city; (2) the total demand for blue–green infrastructure in Nanjing from 2000 to 2020 shows a pattern of “high in the center and low in the periphery”; (3) the level of economic development, urban spatial pattern, and decision management orientation have different degrees of influence on the demand for blue–green infrastructure, with the urban spatial pattern having the greatest impact. Therefore, in the future, blue–green infrastructure should be optimized by taking into account the spatial characteristics of demand in Nanjing.

Keywords: blue–green infrastructure; measurement of demand; spatial and temporal differences; influencing factors; Nanjing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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