Spatial-temporal analysis of urban environmental quality of Tehran, Iran

Urban environmental quality (UEQ) is a quantifiable measure of the capacity of an environment to cope with the requirements of an urban population. UEQ can be mapped by way of modeling separate domains of a specific residential area, such as physical environment, buildup areas, infrastructure, natur...

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Autores principales:	Mohammad Javanbakht, Ali Darvishi Boloorani, Majid Kiavarz, Najmeh Neisany Samany, Lobat Zebardast, Mahdieh Zangiabadi
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban environmental quality Spatial-temporal modeling Fuzzy-ANP Tehran Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/e7a75a68a2e345318dd1ebfd23e086b1
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id	oai:doaj.org-article:e7a75a68a2e345318dd1ebfd23e086b1
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spelling	oai:doaj.org-article:e7a75a68a2e345318dd1ebfd23e086b12021-12-01T04:28:37ZSpatial-temporal analysis of urban environmental quality of Tehran, Iran1470-160X10.1016/j.ecolind.2020.106901https://doaj.org/article/e7a75a68a2e345318dd1ebfd23e086b12021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20308402https://doaj.org/toc/1470-160XUrban environmental quality (UEQ) is a quantifiable measure of the capacity of an environment to cope with the requirements of an urban population. UEQ can be mapped by way of modeling separate domains of a specific residential area, such as physical environment, buildup areas, infrastructure, natural hazards, etc. Along this thread, the present study sets out to design a unprecedented approach to spatial-temporal mapping of UEQ based on Fuzzy logic, analytical network process, remote sensing imagery, and field‐collected data. The methods were implemented for the case of districts 3, 6, and 11 of Tehran. As maintained by the results of sensitivity analysis, the introduction of a 30 percent error to the input parameters, resulted in a mere 16 percent change in output, signifying high reliability of the developed spatial temporal modeling proposed in this study as a reasonably suitable model for environmental quality mapping in heterogeneous urban areas. The following conclusions were made based on the study findings: (i) the spatial pattern of UEQ follows along a north-south trend, (ii) UEQ is higher in spring and summer compared to winter and autumn, (iii) air quality index and vegetation cover are the most influential indicators for UEQ mapping and modeling.Mohammad JavanbakhtAli Darvishi BolooraniMajid KiavarzNajmeh Neisany SamanyLobat ZebardastMahdieh ZangiabadiElsevierarticleUrban environmental qualitySpatial-temporal modelingFuzzy-ANPTehranEcologyQH540-549.5ENEcological Indicators, Vol 120, Iss , Pp 106901- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban environmental quality Spatial-temporal modeling Fuzzy-ANP Tehran Ecology QH540-549.5
spellingShingle	Urban environmental quality Spatial-temporal modeling Fuzzy-ANP Tehran Ecology QH540-549.5 Mohammad Javanbakht Ali Darvishi Boloorani Majid Kiavarz Najmeh Neisany Samany Lobat Zebardast Mahdieh Zangiabadi Spatial-temporal analysis of urban environmental quality of Tehran, Iran
description	Urban environmental quality (UEQ) is a quantifiable measure of the capacity of an environment to cope with the requirements of an urban population. UEQ can be mapped by way of modeling separate domains of a specific residential area, such as physical environment, buildup areas, infrastructure, natural hazards, etc. Along this thread, the present study sets out to design a unprecedented approach to spatial-temporal mapping of UEQ based on Fuzzy logic, analytical network process, remote sensing imagery, and field‐collected data. The methods were implemented for the case of districts 3, 6, and 11 of Tehran. As maintained by the results of sensitivity analysis, the introduction of a 30 percent error to the input parameters, resulted in a mere 16 percent change in output, signifying high reliability of the developed spatial temporal modeling proposed in this study as a reasonably suitable model for environmental quality mapping in heterogeneous urban areas. The following conclusions were made based on the study findings: (i) the spatial pattern of UEQ follows along a north-south trend, (ii) UEQ is higher in spring and summer compared to winter and autumn, (iii) air quality index and vegetation cover are the most influential indicators for UEQ mapping and modeling.
format	article
author	Mohammad Javanbakht Ali Darvishi Boloorani Majid Kiavarz Najmeh Neisany Samany Lobat Zebardast Mahdieh Zangiabadi
author_facet	Mohammad Javanbakht Ali Darvishi Boloorani Majid Kiavarz Najmeh Neisany Samany Lobat Zebardast Mahdieh Zangiabadi
author_sort	Mohammad Javanbakht
title	Spatial-temporal analysis of urban environmental quality of Tehran, Iran
title_short	Spatial-temporal analysis of urban environmental quality of Tehran, Iran
title_full	Spatial-temporal analysis of urban environmental quality of Tehran, Iran
title_fullStr	Spatial-temporal analysis of urban environmental quality of Tehran, Iran
title_full_unstemmed	Spatial-temporal analysis of urban environmental quality of Tehran, Iran
title_sort	spatial-temporal analysis of urban environmental quality of tehran, iran
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e7a75a68a2e345318dd1ebfd23e086b1
work_keys_str_mv	AT mohammadjavanbakht spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran AT alidarvishiboloorani spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran AT majidkiavarz spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran AT najmehneisanysamany spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran AT lobatzebardast spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran AT mahdiehzangiabadi spatialtemporalanalysisofurbanenvironmentalqualityoftehraniran
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Spatial-temporal analysis of urban environmental quality of Tehran, Iran

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