Analyzing urban environmental justice based on supply, demand, and access to cooling ecosystem services in Tehran, Iran

Ghorbani, S.; Salehi, Esmail; Faryadi, S H; Jafari, Hamid

doi:10.1080/09640568.2021.1882964

Cited by 14 publications

(5 citation statements)

References 54 publications

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“…This mainly includes the imbalance between total supply and demand and space allocation. This will lead to a decline in the sustainable supply capacity of ecosystem services, the waste and unfair distribution of green resources, and will affect human well-being [52]. Spatial differentiation, supply-demand matching, and the zoning of ecosystem services are the basis for constructing models and approaches for regional ecological land restoration [53][54][55], and are prerequisites for the sustainable use of land resources.…”

Section: Research Conceptmentioning

confidence: 99%

Zoning and Management of Ecological Restoration from the Perspective of Ecosystem Service Supply and Demand: A Case Study of Yuzhong County in Longzhong Loess Hilly Region, China

Chen

et al. 2023

Land

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The loess hilly region is a typical ecologically fragile and sensitive area. It is of great significance when measuring the balance between supply and demand of ecosystem services and clarify the relationship between supply and demand of ecosystem services for scientific ecological restoration zoning and realizing regional ecological security and social and economic sustainable development. We take Yuzhong County in the loess hilly region of Longzhong, China as an example; by constructing the matching and coordinating relationship between ecosystem service supply and demand and following the idea of “problem diagnosis—strategic orientation—key optimization”, this paper delimits the ecological restoration zones and proposes corresponding governance strategies. The results show that: (1) The supply and demand of ecosystem services were mainly at a low and medium level, with significant spatial heterogeneity. Overall, the spatial pattern of ecosystem services showed high supply and low demand in the southwest mountainous areas and showed low supply and high demand in the urban gully areas of Yuzhong. (2) There were four types of spatial matching of ecosystem service supply and demand: HH type, LH type, LL type, and HL type. The local spatial autocorrelation of supply and demand was dominated by high-low or low-high spatial misadjustment. The average degree of coordination between supply and demand of ecosystem services was 0.629, indicating that supply and demand were basically coordinated. (3) The ecological restoration zones in Yuzhong County can be divided into six categories: the ecological core protection area, ecological potential restoration area, key ecological restoration area, soil and water conservation restoration area, ecological agriculture development area, and ecological innovation promotion area. The results of this study can provide ideas for the refined management and targeted restoration practice of regional ecosystem services. It provides a strong guarantee for ecosystem management and decision-making in the loess hilly region.

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Section: Research Conceptmentioning

confidence: 99%

Zoning and Management of Ecological Restoration from the Perspective of Ecosystem Service Supply and Demand: A Case Study of Yuzhong County in Longzhong Loess Hilly Region, China

Chen

et al. 2023

Land

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“…These scholars eventually propose strategic spatial planning to reduce the spatial inequalities in the Tehran metropolis. (Molaei Qelichi et al, 2017), urban development plans and national modernization (Mashayekhi, 2019), the unsustainable change in land use (Taravat et al, 2017), excessive government intervention in land affairs (Meshkini et al, 2019), inefficient urban policies (Meshkin et al, 2021), inefficient residential policies (Zarghamfard et al, 2019), unbalanced distribution of physical residential indices (Marsosi et al, 2021), industrialization in Tehran (Pazhuhan, 2021), the flow of oil revenues (Hein & Sedighi, 2016), inadequate regulations and limited privatization (Yousefi & Farahani, 2019), the unbalanced distribution of urban cooling ecosystem services (Ghorbani et al, 2022) and income inequalities (Noroozi et al, 2020) as the most important factors contributing to spatial inequality in Tehran metropolis. Studies such as those of Yousefi and Farahani (2019) and Zarghamfard and Meshkini (2021) reveal that the spatial inequality in Tehran residential quality stems from the Iranian capitalist features and imported neoliberal policies.…”

Section: Spatial Inequality In Tehran: the Problem Under Studymentioning

confidence: 99%

Analysis of the spatial inequality in residential quality indicators: the 22 urban regions of Tehran Metropolis

Zarghamfard¹,

Bahadori²,

Hoseinzadeh³

et al. 2023

BGSS

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Research objective: the present study seeks to assess and analyze the status of residential quality indicators in the 22 urban regions of the Tehran metropolis. Methodology: 79 residential quality variables are classified into the four indicators of physical, economic, ecological, and socio-cultural indices. Shannon entropy model, the coefficient of variation, TOPSIS, hotspot analysis, and Moran spatial autocorrelation were used for data analysis. Results: Results of the present study indicated a TOPSIS score of 0.58 for the integrated indicators which revealed region 1 had the best and region 15 had the worst status. In fact, a sort of divergence and heterogeneity rules residential quality indicators in Tehran urban regions, so that among the 22 urban regions of the city, around 4.5% were advantaged while 13.6% were relatively advantaged, 77.3% were semi- advantaged, and 4.5% were less advantaged. Results of statistical spatial analysis also indicate that the advantaged clusters were located in northern and northeastern parts of the city while the less advantaged and extremely less advantaged clusters were more focused in the southern and southeastern parts of the city, and residential quality indicators followed a cluster pattern. Conclusion: A spatial difference and inequality in residential quality index distribution were observed in the 22 urban regions of Tehran so that the regions located in the southern and southeastern parts of the city had an unfavorable status in terms of residential quality indicators while the northern and northeastern regions were more advantaged in this regard.

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“…The literature review highlighted a notable deficiency in studies addressing how connectivity patterns influence the flow of ecosystem services and, in turn, affect environmental justice in urban settings. Furthermore, while previous research has extensively explored the physical aspects of accessibility to green spaces and the movement of ecosystem services, it has often neglected the integral role of socioeconomic and demographic factors [32]. This oversight is particularly apparent in the limited exploration of the interplay between these factors and both ecosystem services and urban green spaces [33].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, urban greening projects tend to overlook the social dimensions of urban green spaces [30], typically prioritizing other aspects and services [34]. Despite existing research offering valuable insights into Tehran's environmental justice concerning access to green spaces [35] and ecosystem services [32], there remains a lack of explicit focus on how green space connectivity directly impacts environmental justice. Crucially, a comprehensive analysis is needed to fully understand the implications of these connectivity patterns on environmental justice within urban contexts, especially considering the multifaceted nature of urban green space connectivity.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Connectivity of Urban Green Spaces for Enhanced Environmental Justice and Ecosystem Service Flow: A Study of Tehran Using Graph Theory and Least-Cost Analysis

Alavi,

Esfandi,

Khavarian-Garmsir

et al. 2024

Urban Science

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This research aims to analyze the relationship between environmental justice and urban green space connectivity in Tehran, Iran. The evaluation of green space connectivity in this study is conducted through two distinct cost layers: one aimed at enhancing existing connections and another focused on establishing new green spaces. Key factors influencing connectivity, extracted from the relevant literature, were identified to facilitate this analysis. Employing graph theory and least-cost analysis, the results determined critical resistance factors, current connectivity and cost status, the varying degrees to which different districts benefit from green space ecosystem services, and the most effective routes for establishing green corridors. Research findings highlight significant disparities in access to these services, particularly in the underserved central districts of Tehran. Moreover, spatial analysis reveals a higher potential for enhancing east–west ecosystem service corridors due to the higher density of green hubs and lower costs in this orientation, while north–south connectivity faces more challenges. By exploring land use/land cover, and physical and socio-economic factors affecting urban green space connectivity, this study provides urban and environmental planners with a novel methodology and comprehensive insights for effective decision making, resource allocation, and land use planning.

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Analyzing urban environmental justice based on supply, demand, and access to cooling ecosystem services in Tehran, Iran

Cited by 14 publications

References 54 publications

Zoning and Management of Ecological Restoration from the Perspective of Ecosystem Service Supply and Demand: A Case Study of Yuzhong County in Longzhong Loess Hilly Region, China

Zoning and Management of Ecological Restoration from the Perspective of Ecosystem Service Supply and Demand: A Case Study of Yuzhong County in Longzhong Loess Hilly Region, China

Analysis of the spatial inequality in residential quality indicators: the 22 urban regions of Tehran Metropolis

Assessing the Connectivity of Urban Green Spaces for Enhanced Environmental Justice and Ecosystem Service Flow: A Study of Tehran Using Graph Theory and Least-Cost Analysis

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