Combination of GISFM and TOPSIS to evaluation of Urban Environment Carrying Capacity (Case study: Shemiran City, Iran)

Irankhahi, M.; Jozi, Seyed Ali; Farshchi, Parvin; Shariat, Seyed Mahmoud; Liaghati, Houman

doi:10.1007/s13762-017-1243-0

Cited by 46 publications

(22 citation statements)

References 23 publications

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“…This method is useful because it can be used to assess the ecological capacity of the Earth on the basis of energy values (Odum, 1996); although this approach is of considerable significance, high parameter demands mean that practical applications have lagged behind theory in this case (Feng et al, 2017). Researchers in developed countries have turned their attention to micro-level studies in recent years, including coastal protection and aquaculture (Chadenas et al, 2008;Guyondet et al, 2015;Reghunathan et al, 2016), while some scholars in developing regions have addressed sustainable development (Patil et al, 2008;Sarma et al, 2016;Irankhahi et al, 2017). It is the case that international researchers have tended to be more focused on assessing the micro-carrying capacity of resources and the environment, paying less attention in recent years to comprehensive regional studies.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of regional resources and environmental carrying capacity using a PS-DR-DP theoretical model

Wang

Liu

2019

J. Geogr. Sci.

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The concepts of regional resources and environmental carrying capacity are important aspects of both academic inquiry and government policy. Although notable results have been achieved in terms of evaluating both these variables, most researchers have utilized a traditional analytical method that incorporates the "pressure-state-response" model. A new approach is proposed in this study for the comprehensive evaluation of regional resources and environmental carrying capacity; applying a "pressure-support", "destructiveness-resilience", and "degradation-promotion" ("PS-DR-DP") hexagon interaction theoretical model, we divided carrying capacity into these three pairs of interactive forces which correspond with resource supporting ability, environmental capacity, and risk-disaster resisting ability, respectively. Negative carrying capacity load in this context was defined to include pressure, destructiveness, and degradation, while support, resilience, and promotion comprised positive attributes. The status of regional carrying capacity was then determined via the ratio between positive and negative contribution values, expressed in terms of changes in both hexagonal shape and area that result from interactive forces. In order to test our "PS-DR-DP" theory-based model, we carried out a further empirical study on Beijing over the period between 2010 and 2015. Analytical results also revealed that the city is now close to attaining a perfect state for both resources and environmental carrying capacity; the latter state in Beijing increased from 1.0143 to 1.1411 between 2010 and 2015, an improved carrying capacity despite the fact that population increased by two million. The average contribution value also reached 0.7025 in 2015, indicating that the city approached an optimal loading threshold at this time but still had space for additional carrying capacity. The findings of our analysis provide theoretical support to enable the city of Beijing to control population levels below 23 million by 2020.

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Section: Introductionmentioning

confidence: 99%

Comprehensive evaluation of regional resources and environmental carrying capacity using a PS-DR-DP theoretical model

Wang

Liu

2019

J. Geogr. Sci.

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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%

“…Previous studies have played an important role in exploring urban comprehensive carrying capacity, including studies of single-element carrying capacity and urban carrying capacity. The comprehensive carrying capacity is attached to the development of human social factors such as science and technology, living, social institutions, trade, ethics, culture, intelligence, and government management [14,15,16]. The effect of resources on carrying capacity is obvious, which results in resources such as water, land, mines, and air being viewed as crucial indicators to evaluate the urban carrying capacity [17].…”

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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“…MCDM methods are also widely applied in performance evaluation. In addition to data envelopment, many methods in performance evaluation adopt hybrid approaches; for instance, the fuzzy analytic hierarchy process plus technique for ordering preference by similarity to ideal solutions for evaluating city environmental capacity (Irankhahi et al, 2017) and mineral processing plant site selection (Safari et al, 2012). Analytic hierarchy process (AHP) is adopted alongside GRA for evaluating optimal plant information collection systems (Gangurde, 2016) or supplier performance (Wang et al, 2017).…”

Section: Evaluating the Performance Of Cultural And Creative Industriesmentioning

confidence: 99%

Integrated Approach for Exploring Critical Elements That Affect Sustainable Development of Cultural and Creative Industries

Lin

2021

Journal of Business Economics and Management

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The cultural and creative industries (CCIs) are increasingly regarded as a means to cure economic stagnation and boost sustainable development; thus, they have become the focus of cultural, social, and economic policies. This study adopts a city governance perspective to explore topics that should be considered in CCIs development. We combine entropy weight and grey relational analysis into an evaluation indicator system that considers ambiguity and complexity. The results reveal the cities in the eastern region and offshore islands took more advantage of investment in cultural resources than cities in the western region. It indicates that local governments understand that the economic benefits of culture are not limited to certain CCIs but extend to the overall economy. Through stimulus policies, communities have been built and effectively revitalized regional economies. The developed method prioritizes the provision of cultural and creative resources to effectively improve resource–generating capacity of a city. This study provides suggestions for decision makers in cultural and creative sectors to help them overcome the gap in resource allocation between urban and rural areas.

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Combination of GISFM and TOPSIS to evaluation of Urban Environment Carrying Capacity (Case study: Shemiran City, Iran)

Cited by 46 publications

References 23 publications

Comprehensive evaluation of regional resources and environmental carrying capacity using a PS-DR-DP theoretical model

Comprehensive evaluation of regional resources and environmental carrying capacity using a PS-DR-DP theoretical model

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

Integrated Approach for Exploring Critical Elements That Affect Sustainable Development of Cultural and Creative Industries

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