Ecological carrying capacity of public green spaces as a sustainability index of urban population: a case study of Mashhad city in Iran

Daneshvar, Mohammad Reza Mansouri; Khatami, Fahimeh; Zahed, Farzin

doi:10.1007/s40808-017-0364-2

Cited by 24 publications

(9 citation statements)

References 29 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%

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%

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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“…Our study found that the most frequent node was sustainable development, with an appraisal rate of 238. Other indicators were as follows: resource and environment constraints, infrastructure, ecological civilization, urban security, public services, science and technology, and social culture [8,15,20,23,25]. Table 2 revealed the nodes of urban comprehensive carrying capacity, which consists of the elements related to urban comprehensive carrying capacity.…”

Section: Methodsmentioning

confidence: 99%

“…The ecosystem is close to the system of human society, but the study of this system is still in the early stages. The ecologic carrying capacity emphasizes the effect of the constraints and the support of resources on the urban carrying capacity [20]. The carbon footprint is an effective tool to explore the ecologic carrying capacity, and has also been adopted in numerous studies [21,22,23].…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

Xue

Liang

2019

IJERPH

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Urbanization has brought notable benefits for cities, but has also resulted in severe and diverse challenges in China. Previous studies have contributed to the definitions and evaluation of urbanization. However, there remain a great deal of ambiguities regarding urban comprehensive carrying capacity, and its measurable indicators still need further exploration given the urban development. This study aims to explore a model for evaluating urban comprehensive carrying capacity and thus to promote urban development. A total of 48 indicators which fell into 8 subsystems were identified to evaluate the urban comprehensive carrying capacity through literature reviews and interviews. The indicator set was developed for evaluation indicator selecting. Meanwhile, the dynamic system was explored, and an evaluation model based on the entire array polygon method was designed to evaluate urban comprehensive carrying capacity. Finally, a case study was conducted to provide suggestions for the decision-maker to implement the evaluation model. The results of this study show that the evaluation indicator system was dynamic due to urban development. Meanwhile, the model of the entire array polygon method was able to effectively evaluate urban comprehensive carrying capacity through the case study. Furthermore, this study found that there is an imbalance among subsystems in urban development according to the standard deviation. The findings are useful for setting up a benchmark framework for urban sustainability and providing an evaluation and monitoring model for decision maker to improve the urban carrying capacity.

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“…Cf 3 soil erosion factor was considered based on the extension of geological units (GSI 2015). Usually, the corrective factor for igneous rocks was assumed as 1 (without limitation) while for sandstone, limestone, alluvial and shale/marl units, the corrective factors considered as 0.9, 0.85, 0.8 and 0.75, respectively (Mansouri Daneshvar et al 2017b). Hence, this factor was considered as 0.8 on average for the whole study area.…”

Section: Real Carrying Capacity (Rcc)mentioning

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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Ecological carrying capacity of public green spaces as a sustainability index of urban population: a case study of Mashhad city in Iran

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Cited by 24 publications

References 29 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

An Evaluation Model for Urban Comprehensive Carrying Capacity: An Empirical Case from Harbin City

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

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