GIS-based land suitability evaluation for building height construction using an analytical process in the Mashhad city, NE Iran

Daneshvar, Mohammad Reza Mansouri; Khatami, Fahimeh; Shirvani, Sousan

doi:10.1007/s40808-017-0286-z

Cited by 19 publications

(7 citation statements)

References 28 publications

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“…The spatial analysis of urban topography in geographical information system (GIS) indicated that the mean elevation values vary between 920 and 1340 m above sea level in northeast and southwest, respectively. In recent years, Mashhad city has been considered as an exciting research case of development modeling such as simulating urban growth (Rafiee et al 2009), building height construction modeling (Mansouri Daneshvar et al 2017a), carrying capacity of urban green spaces (Mansouri Daneshvar et al 2017b), urban transportation modeling (Bikdeli et al 2017), urban sprawl modeling (Rabbani et al 2017), and urban flexibility (Sarvari and Esnaashari 2018). Besides, the present paper focuses on hybrid modeling to assess the sprawl effects on climate parameters.…”

Section: Study Areamentioning

confidence: 99%

“…In the second step, analytical network process (ANP) proposed by Saaty (1980Saaty ( , 2001 as a nonlinear structure with bilateral relationships is considered to detect factors' weights. According to Mansouri Daneshvar et al (2017a), the application of ANP can be described in some steps. Firstly, the construction of a conceptual model is produced to determine relationships between criteria.…”

Section: A Hybrid Model Of Factor Analysis and Analytical Network Process (F'anp)mentioning

confidence: 99%

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Assessment of urban sprawl effects on regional climate change using a hybrid model of factor analysis and analytical network process in the Mashhad city, Iran

Daneshvar¹,

Rabbani²,

Shirvani

2019

Environ Syst Res

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Background: Urban sprawl, as an unsustainable urban expansion, relates to direct and indirect impacts on regional climate change in urbanized regions. In this paper, the effect of urban sprawl on regional climate change has been studied using a hybrid factor analysis (FA) and analytical network process (ANP) model in Mashhad city, Iran. The methodology was divided into two main parts based on the identification of 18 urban sprawl characteristics and six climatic parameters during three time-windows of 1996, 2006, and 2016. Results: Based on the FA, a set of chosen sprawl characteristics were reduced into five factors with a maximized total variance of the loading variables and were weighted by ANP super-matrix. Results of urban sprawl index (USI) indicated that Mashhad city had experienced rapid horizontal growth by values from 0.47 to 1.74 within 1996-2016, revealing an indication of unsustainable urban sprawl during the last decades. Based on the correlation test, a positive relation between four climatic parameters (surface temperature, surface long-wave flux, total ozone, and black carbon density) and urban sprawl was observed (R from 0.827 to 0.981). In parallel, a negative relationship between two climatic parameters (total precipitation and convective precipitation) and urban sprawl was estimated (R from − 0.691 to − 0.805). Conclusions:The result confirmed the possible effects of urban sprawl on climatic variations. This outcome relates to a chain of urban sprawl effects on growth of construction, transportation, the assumption of fuels and subsequently high emission of greenhouse gasses such as ozone concentration, long-wave flux, and carbon density in the urban atmosphere.

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Section: Study Areamentioning

confidence: 99%

Section: A Hybrid Model Of Factor Analysis and Analytical Network Process (F'anp)mentioning

confidence: 99%

Assessment of urban sprawl effects on regional climate change using a hybrid model of factor analysis and analytical network process in the Mashhad city, Iran

Daneshvar¹,

Rabbani²,

Shirvani

2019

Environ Syst Res

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“…The complete pairwise comparison matrix includes the relative importance of factors. Therefore, it is also possible to determine the degree of consistency that is used in developing the judgments (Mansouri Daneshvar et al 2017a).…”

Section: Pairwise Comparison Matrix Of Ahpmentioning

confidence: 99%

“…Spatial techniques and quantitative models integrate the concept of ranking and weighting the suitability classes during multi-criteria evaluation. Multi-criteria evaluation methods employ a number of qualitative or statistical methods, such as analytical hierarchy process (AHP), analytical network process (ANP), logistic regression (LR), multivariate statistical approach (MSA), weighted linear combination (WLC), and ordered weighted average (OWA) (Gong et al 2012;Ferretti and Pomarico 2013a;Mansouri Daneshvar et al 2017a).…”

Section: Introductionmentioning

confidence: 99%

Land suitability map and ecological carrying capacity for the recognition of touristic zones in the Kalat region, Iran: a multi-criteria analysis based on AHP and GIS

Ebrahimi

Nejadsoleymani

Daneshvar³

2019

Asia-Pac J Reg Sci

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The main aim of the present study is to produce a map of land suitability evaluation (LSE) using analytical hierarchy process (AHP) for the recognition of touristic and recreational levels in the Kalat region, northeastern Iran. The Kalat region, in the vicinity of the border of Turkmenistan and Iran, is a highland comprised of mountains and geomorphologic phenomena. Different environmental factors such as elevation ranges, slope, aspect, soil biomes, geological units, land cover, and groundwater were considered to determine the land suitability of tourism and recreational levels in the study area. Ecological land suitability determined by the LSE map has shown that more than 67% of the area is categorized as suitable tourism zones. Furthermore, the ecological carrying capacity (Eco.CC) of the touristic zones was calculated. Eco.CC calculations revealed the mean annual physical, real, and effective carrying capacities equal to 1,496,135, 484,720, and 697,880 visitors, respectively. Owing to the current status of imported tourists in the Kalat region (less than 50,000 visitors per year), the results reflect the ecological role of the Kalat region to improve its touristic quota in the regional and national levels in future. In the present study, a multi-criteria analysis was proposed for the recognition of levels of touristic and recreational activities composed of AHP and Eco.CC, using regular programs such as Expert Choice, GIS, and Excel software.

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“…The method enables to handle massive geospatial issues related to land use suitability, site selection and resource evaluation isssues. Generally, it can provide immeasurable opportunities for land use planning and management problem [10]. MCDA allow to consider both qualitative and quantitative basis that assis the decision maker's judgment to be specific and to choose optimal choice based on a scientific technique.…”

Section: Introductionmentioning

confidence: 99%

GIS and Multi-criteria Analysis for School Site Selection (Study Case: Malacca Historical City)

Mustaffa¹,

Bahiah²,

rasib³

et al. 2021

IJIE

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School sites selection is an essential process which needs information on various fields. The process includes scientific justification, judgment and a finding of suitable land, which consider financial, social, ecological and political perspectives, that limit conflicts and supports agreement among the decision makers. A set of school suitability map would be very useful for education planners when making a complex decision within a short period of time. This study will utilize both spatial and non-spatial parameters to establish a systematic site selection process for primary schools in Melaka Tengah District. It was carried out by using Geographic Information System (GIS) and Multi-criteria Decision Analysis (MCDA). Three analysis namely demographic, safety and constrain analysis were used to identify the potential sites. Then accessibility analysis, using expertise and public opinion were used to further analyze the potential site. The resulted map showed 54.% of the total area is highly not suitable, leaving 46% suitable for school sitting. The final safety model output was compared with field verification data from State Education Department (JPN Melaka) and Malacca Historical City Council (MBMBB).

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GIS-based land suitability evaluation for building height construction using an analytical process in the Mashhad city, NE Iran

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Cited by 19 publications

References 28 publications

Assessment of urban sprawl effects on regional climate change using a hybrid model of factor analysis and analytical network process in the Mashhad city, Iran

Assessment of urban sprawl effects on regional climate change using a hybrid model of factor analysis and analytical network process in the Mashhad city, Iran

Land suitability map and ecological carrying capacity for the recognition of touristic zones in the Kalat region, Iran: a multi-criteria analysis based on AHP and GIS

GIS and Multi-criteria Analysis for School Site Selection (Study Case: Malacca Historical City)

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