Is inequality in the distribution of urban facilities inequitable? Exploring a method for identifying spatial inequity in an Iranian city

Dadashpoor, Hashem; Rostami, Faramarz; Alizadeh, Bahram

doi:10.1016/j.cities.2015.12.007

Cited by 118 publications

(74 citation statements)

References 29 publications

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“…Studies in other Asian cities such as Sheikhupura, Pakistan [69], Tehran, Iran [71,84], and Hamadan, Iran [46] also found inequitable results for green space quantity. All sampled articles that measured quantity in Latin America [18,20,72,73] and Africa [21,77,85,89,96] discovered inequities.…”

Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 99%

“…Some authors note that the introduction of green space standards in China in 1994, which involved providing equal access to green space for all residents for new developments, might have contributed to decreasing inequities [104,105]. Other authors suggest that urban planners and city officials could use their study's findings to identify low-SES, green space deprived areas and build more green spaces in such areas [46,[81][82][83]91,95,104]. Yet this would require that elected officials had the political will and support to invest in low-SES areas.…”

Section: Discussionmentioning

confidence: 99%

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Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

et al. 2018

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This review examines disparities in access to urban green space (UGS) based on socioeconomic status (SES) and race-ethnicity in Global South cities. It was motivated by documented human health and ecosystem services benefits of UGS in Global South countries and UGS planning barriers in rapidly urbanizing cities. Additionally, another review of Global North UGS studies uncovered that high-SES and White people have access to a higher quantity of higher quality UGSs than low-SES and racial-ethnic minority people but that no clear differences exist regarding who lives closer to UGS. Thus, we conducted a systematic review to uncover (1) whether UGS inequities in Global North cities are evident in Global South cities and (2) whether inequities in the Global South vary between continents. Through the PRISMA approach and five inclusion criteria, we identified 46 peer-reviewed articles that measured SES or racial-ethnic disparities in access to UGS in Global South cities. We found inequities for UGS quantity (high-SES people are advantaged in 85% of cases) and UGS proximity (74% of cases). Inequities were less consistent for UGS quality (65% of cases). We also found that UGS inequities were consistent across African, Asian, and Latin American cities. These findings suggest that Global South cities experience similar inequities in UGS quantity and quality as Global North cities, but that the former also face inequities in UGS proximity.

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Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

et al. 2018

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“…Kesetaraan merupakan salah satu elemen dari keadilan ruang dan lebih kepada siapa serta mendapat apa (Soja, 2009dan Wagner, 2011. Sedangkan distribusi pelayaan fasilitas kota pada dasarnya memerlukan konsep proposional dalam penerapan kesetaraan, dimana efisiensi dan efektivitas merupakan syarat atas keseimbangan ruang (Hashem Dadashpoor, Rostami, & Alizadeh, 2016a). Proposional merupakan unsur utama dari perencanaan kota dan menjadi prioritas dalam perumusan kebijakan distribusi, sehingga karateristik sosial yang berkaitan dengan permintaan dapat melahirkan keharmonisan ruang sosial.…”

Section: Pendahuluanunclassified

Kesetaraan Tingkat Pelayanan Fasilitas Sosial Dalam Perspektif Keadilan Ruang

Setiawan

Syahbana

2017

pwk

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Questions on equality of municipal service facilities, one of which is social facilities, often emerge from people with poor economic status. In addition, the equality application of social facilities service distribution has given birth to service level characteristics based on regional segmentation and economic status. Therefore, the purpose of this study is to assess the form of urban facilities services in the perspective of spatial justice. This study implements empirical examples of junior high school facility services in Surakarta. In addition, to achieve research objectives, the researcher utilizes analysis of service level, descriptive analysis (municipal public transportation network), analysis of service level typology (overlay), analysis of service distribution (autocorrelation moran's I and local indicator of spatial autocorrelation (LISA)), movement network analysis (accessibility) and quantitative analysis of descriptive statistics. Distribution of municipal facility forms concentric pattern. Consumption of services in general follows the social characteristics with random pattern. Service efficiency and effectiveness dominate the areas with concentric pattern. The inhabitants of the service area are generally unable to contribute to the service outcome of supply. Service efficiency and effectiveness are influenced by both social characteristics and criteria.

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“…J. Geo-Inf. 2020, 9, 38 2 of 17 related issues, such as transportation [8][9][10][11][12][13][14][15]. The goal of equity considering public services is ensuring equal distribution of resources, services, and benefits among individuals and fair and appropriate distribution in society [16].…”

Section: Introductionmentioning

confidence: 99%

Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data

Shi

Yang

Shen

2020

IJGI

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Some studies have confirmed the association between urban public services and population density; however, other studies using census data, for example, have arrived at the opposite conclusion. Mobile signaling data provide new technological tools to investigate the subject. Based on the data of 20 million 2G mobile phone users in downtown Shanghai and the land use data of urban public service facilities, this study explores the spatiotemporal correlation between population density and public service facilities’ locations in downtown Shanghai and its variation laws. The correlation between individual population density at day vs. night and urban public service facilities distribution was also examined from a dynamic perspective. The results show a correlation between service facilities’ locations and urban population density at different times of the day. As a result, the average population density observed over a long period of time (day-time periodicity or longer) with census data or remote sensing data does not directly correlation with the distribution of public service facilities despite its correlation with public service facilities distribution. Among them, there is a significant spatial correlation between public service facilities and daytime population density and a significant spatial correlation between non-public service facilities and night-time population density. The spatial and temporal changes in the relationship between urban population density and service facilities is due to changing crowd behavior; however, the density of specific types of behavior is the real factor that affects the layout of urban public service facilities. The results show that mobile signaling data and land use data of service facilities are of great value for studying the spatiotemporal correlations between urban population density and service facilities.

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Is inequality in the distribution of urban facilities inequitable? Exploring a method for identifying spatial inequity in an Iranian city

Cited by 118 publications

References 29 publications

Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

Kesetaraan Tingkat Pelayanan Fasilitas Sosial Dalam Perspektif Keadilan Ruang

Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data

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