TY - JOUR
T1 - Who gets what, where, and how much? Composite index of spatial inequality for small areas in Tehran
AU - Rabiei-Dastjerdi, Hamidreza
AU - Matthews, Stephen A.
N1 - Funding Information:
Hamidreza Rabiei-Dastjerdi is a Marie Skłodowska-Curie Career-FIT Fellow at the UCD School of Computer Science and CeADAR (Ireland’s National Centre for Applied Data Analytics & AI). Career-FIT has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713654. Matthews acknowledges the assistance provided by the Population Research Institute at Penn State University, which is supported by an infrastructure grant by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041025).
Funding Information:
Hamidreza Rabiei‐Dastjerdi is a Marie Skłodowska‐Curie Career‐FIT Fellow at the UCD School of Computer Science and CeADAR (Ireland’s National Centre for Applied Data Analytics & AI). Career‐FIT has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie grant agreement No. 713654. Matthews acknowledges the assistance provided by the Population Research Institute at Penn State University, which is supported by an infrastructure grant by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041025). 1
Publisher Copyright:
© 2021 The Authors. Regional Science Policy & Practice © 2021 Regional Science Association International
PY - 2021/2
Y1 - 2021/2
N2 - Urban spatial inequality is multidimensional and complex. The extant literature identifies three main theoretically-informed dimensions of spatial inequality—accessibility, environmental conditions, and socio-economic conditions. We combine geospatial data on measures across these three theoretical dimensions to derive a composite index for the city of Tehran, Iran. We draw on these three dimensions respectively from the relative geographic locations of urban facilities and services, satellite images, and census and survey data. The application contributes to the evidence-base on urban spatial inequality and may inform urban policy decisions aimed at reducing spatial inequality.
AB - Urban spatial inequality is multidimensional and complex. The extant literature identifies three main theoretically-informed dimensions of spatial inequality—accessibility, environmental conditions, and socio-economic conditions. We combine geospatial data on measures across these three theoretical dimensions to derive a composite index for the city of Tehran, Iran. We draw on these three dimensions respectively from the relative geographic locations of urban facilities and services, satellite images, and census and survey data. The application contributes to the evidence-base on urban spatial inequality and may inform urban policy decisions aimed at reducing spatial inequality.
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U2 - 10.1111/rsp3.12393
DO - 10.1111/rsp3.12393
M3 - Article
AN - SCOPUS:85100333067
SN - 1757-7802
VL - 13
SP - 191
EP - 205
JO - Regional Science Policy and Practice
JF - Regional Science Policy and Practice
IS - 1
ER -
