Supply and demand mismatch analysis to improve regulating ecosystem services in Mediterranean urban areas: Insights from four Italian Municipalities

Fusaro, Lina; Nardella, Lorenza; Manes, Fausto; Sebastiani, Alessandro; Fares, Silvano

doi:10.1016/j.ecolind.2023.110928

Cited by 7 publications

(1 citation statement)

References 56 publications

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“…Baró et al pointed out that the supply and demand for ecosystem services of UPGS in five European cities were highly heterogeneous [68]. Fusaro et al found that the mismatch of ecosystem services is more severe in cities in northern Italy than in the south [69]. Hao et al pointed out that the supply and demand of UPGS in the second and third ring road areas of Changchun (China) is well matched, and the imbalance is concentrated in the development areas within the first ring road and in the outskirts of the city [70].…”

Section: Spatial Chracteristicsmentioning

confidence: 99%

Examining the Spatial Mode, Supply–Demand Relationship, and Driving Mechanism of Urban Park Green Space: A Case Study from China

Zhao,

Chen,

Wang

et al. 2024

Forests

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Park green space is a big part of public infrastructure in cities, and how to evaluate and optimize the mismatch of urban park green space (UPGS) has become the focus of current research in academia and industry. Taking China’s 286 cities as an example, this paper used the spatial cluster and Boston Consulting Group Matrix to analyze the aggregation laws and changing modes of UPGS from 2010 to 2020, introduced the spatial mismatch model to analyze the matching of its supply and demand with GDP and population, and adopted the Geodetector to analyze the influencing factors. The findings: (1) The evolution of UPGS in China had long been characterized by a “pyramidal” pattern, i.e., limited green cities > developing green cities > steady green cities > booming green cities, exhibiting the spatial characteristics of gradient differences between the coasts and inland areas, and the aggregation of blocks in some areas. (2) The supply and demand mismatches of the UPGS were relatively stable, with negative matching being the main supply mismatch type, and positive matching being the main demand mismatch type. The contribution of supply and demand mismatches similarly showed a spatial pattern of a gradual decrease from the coast to inland and the aggregation of blocks in some areas. (3) Five types of factors played different driving roles on UPGS, with social development remaining a weak factor, and the strong factor switching from urban infrastructure to construction land scale. The interaction detection was dominated by a bilinear enhancement, with super-interaction factors changing from an output value of the tertiary industry and population urbanization rate to education expenditure in local general public budgets. (4) Based on the mismatch between the supply and demand for UPGS in China, 286 cities were classified into four types, namely a smart shrinking zone, smart growing zone, status quo zone, and overlay policy zone, and differentiated development proposals for the corresponding zoning were put forward. This paper constructed an application framework of “evolution pattern + supply demand match + driving factors + policy zoning” for UPGS at a large scale, which will effectively enhance the effective allocation of its resources across the country.

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Section: Spatial Chracteristicsmentioning

confidence: 99%

Examining the Spatial Mode, Supply–Demand Relationship, and Driving Mechanism of Urban Park Green Space: A Case Study from China

Zhao,

Chen,

Wang

et al. 2024

Forests

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A GIS‐Based Decision Support System to Study the Impact of Land Use Policies on Water‐Related Ecosystem Services—A Case Study of Kozhikode, Kerala

Nazer,

Puthuvayi,

Kurukkanari

2024

Environmental Quality Mgmt

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This study tries to review the land use policies from the perspective of their impact on the ecosystem and identify significant negative LULC changes and their spatial distribution. The study proposes a decision support system to evaluate land‐use policies based on the coupling coordination degree (CCD) of LULC and water‐related ecosystem service (WES) changes. By studying the nature of the interaction, changes in the intensity and significance of land use and land cover (LULC) changes with negative WES changes, the implications of the government LULC policies and schemes are assessed. Unlike general LULC‐WES studies that focus on the influence of the LULC on WES in a cross‐section of time, this study focuses on the changes in the WES due to changes in LULC over the longitudinal section of time at pixel‐level resolution. For illustration, one of the fastest urbanizing districts in Kerala, Kozhikode, was selected. From 2003 to 2013, LULC‐driven WES changes were highest in municipal areas and the western coast, shifting to midlands and urban centers in 2013–2022. Critical land use changes included the conversion of plantations and farms to built‐up areas (2003‐2013), and plantations to farms and barren lands (2013–2022). The 2018 Kerala Forest Policy effectively reduced forest conversion, while several agricultural and conservation policies proved ineffective. Key ecological concerns include farm‐to‐urban conversion and plantation abandonment in urbanizing areas. The study emphasizes the need for targeted, ecologically informed agricultural policies to address these issues and improve WES management. The spatial mapping of LULC changes hotspots that are detrimental to WES and assists urban decision‐makers in the formulation of decentralized, participatory, and spatially targeted land use controls.

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Time series analysis of PM2.5 pollution risk based on the supply and demand of PM2.5 removal service: a case study of the urban areas of Beijing

Song,

Wang,

Hou

et al. 2024

Environ Monit Assess

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Supply and demand mismatch analysis to improve regulating ecosystem services in Mediterranean urban areas: Insights from four Italian Municipalities

Cited by 7 publications

References 56 publications

Examining the Spatial Mode, Supply–Demand Relationship, and Driving Mechanism of Urban Park Green Space: A Case Study from China

Examining the Spatial Mode, Supply–Demand Relationship, and Driving Mechanism of Urban Park Green Space: A Case Study from China

A GIS‐Based Decision Support System to Study the Impact of Land Use Policies on Water‐Related Ecosystem Services—A Case Study of Kozhikode, Kerala

Time series analysis of PM2.5 pollution risk based on the supply and demand of PM2.5 removal service: a case study of the urban areas of Beijing

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