Demand Priority of Green Space from the Perspective of Carbon Emissions and Storage

Lige Xu, Kailun Fang, Yu Huang () and Shuangyu Xu
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Lige Xu: Guangzhou Urban Planning and Design Co., Ltd., Guangzhou 510030, China
Kailun Fang: Guangzhou Urban Planning and Design Co., Ltd., Guangzhou 510030, China
Yu Huang: School of Civil Engineering, Guangzhou University, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
Shuangyu Xu: Guangzhou Urban Planning and Design Co., Ltd., Guangzhou 510030, China

Sustainability, 2023, vol. 15, issue 14, 1-16

Abstract: During the process of rapid urban expansion, there has been a growing interest in understanding the spatial requirements of green spaces. However, limited research has evaluated green space demand specifically in terms of carbon storage and carbon emissions. This study introduces a novel methodological framework that aligns ecosystem service functions with both supply and demand, considering carbon storage and carbon emissions as crucial perspectives. The goal was to develop a comprehensive approach to assess the matching between the supply and demand of green spaces based on their carbon-related ecosystem services. The following research questions were developed to guide this study: (1) What are the spatial and temporal characteristics of carbon storage? (2) What are the spatiotemporal variations in carbon emissions on a city scale? (3) How does a city obtain the demand priority evaluation of green spaces in terms of carbon neutrality? Using Guangzhou as a case study, we employed the integrated valuation of ecosystem services and tradeoffs (InVEST) model to measure the spatial and temporal patterns of carbon storage. Remote sensing data were utilized, along with emission factors, to analyze the spatial and temporal characteristics of carbon emissions. The line of best fit method was employed to predict future carbon storage and carbon emissions, as well as population density and average land GDP. Based on these predictions, we prioritized the demand for green spaces. The results indicate the future demand priority order for green spaces in different districts. We suggest that this green space demand evaluation model can serve as a reference for future policy making and be applied to other cities worldwide.

Keywords: demand priority; green space; carbon storage; carbon emission; InVEST model (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 (3)

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