Transformation and risk assessment of the East Kolkata Wetlands (India) using fuzzy MCDM method and geospatial technology

Mondal, Biraj Kanti; Kumari, Suchitra; Ghosh, Arijit; Mishra, Prabuddh Kumar

doi:10.1016/j.geosus.2022.07.002

Cited by 22 publications

(10 citation statements)

References 24 publications

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“…With the help of the coupling coordination degree model, the study calculates the coupling coordination degree of mixed land use and urban vitality in 35 major cities in China in 2020 ( Table 4 ). The results were visually expressed with the help of ArcGIS software based on the classification ( Table 3 ) ( Figure 2 ) [ 36 , 37 ]. As shown in Figure 2 , five cities, namely Beijing, Shenzhen, Shanghai, Guangzhou, and Chengdu, have the highest level of coupling coordination between mixed land use and urban vitality, all of which have good coordination and are spatially distributed in a discrete manner.…”

Section: Resultsmentioning

confidence: 99%

Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China

Li-jing

Zhang

2022

IJERPH

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Based on the data from 35 major cities in China in 2020, this paper applies the Simpson’s diversity index, the entropy value method, and the coupling coordination degree model to comprehensively measure the coupling coordination level of mixed land use and urban vitality in major cities in China and further analyze their spatial distribution characteristics. In addition, this paper analyzes the factors affecting the spatial variation of the coupling coordination level with the help of the geographic probe model. The study finds that: (1) The overall level of coupling coordination between mixed land use and urban vitality is high in 35 major cities in China. There is no disorder between mixed land use and urban vitality. (2) In terms of the spatial distribution of the coupling coordination between mixed land use and urban vitality in 35 cities in China, five cities, namely Beijing, Shenzhen, Shanghai, Guangzhou, and Chengdu, have the highest level of coupling coordination between mixed land use and urban vitality, reaching “good coordination” with a discrete spatial distribution. Central cities such as Hangzhou and Nanjing have the second highest level of coupling coordination and are at the “intermediate coordinate” with a “strip-like distribution” in space. Twenty cities in the north and south have the lowest coupling coordination levels and are in the “primary coordination.” Among these twenty cities, seven cities in the south have a higher level of coupling coordination than thirteen cities in the north, with a spatial distribution of a “C” shape. The northern cities have the lowest level of coupling coordination, with a “W”-shaped distribution in space. (3) Population size plays an essential role in guiding the level of coupling coordination between mixed land use and urban vitality in major cities in China, followed by government regulation and economic level. At the same time, transportation conditions and industrial structure have the weakest influence on the level of coupling coordination between mixed land use and urban vitality in major cities in China.

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Section: Resultsmentioning

confidence: 99%

Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China

Li-jing

Zhang

2022

IJERPH

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“…This type of fuzzy number maintains the variable's value in an interval and displays the likelihood of different values in the considered interval 49,50 . This presentation type also explains parameters' uncertainty well with relatively simple calculations 51 . The selection of a triangular membership function was based on careful consideration of the specific problem and the characteristics of the variables involved.…”

Section: Methodsmentioning

confidence: 99%

“…49,50 This presentation type also explains parameters' uncertainty well with relatively simple calculations. 51 The selection of a triangular membership function was based on careful consideration of the specific problem and the characteristics of the variables involved. In this study, the variables exhibited a relatively symmetric distribution around a central value that a triangular shape could well represent and suitably approximate the relationships between input values and membership degrees.…”

Section: Phase 2: Ranking the Strategiesmentioning

confidence: 99%

Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

Beheshtinia,

Sayadinia,

Fathi

2023

Energy Science & Engineering

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Preventing energy waste in residential and office buildings has emerged as a critical issue in both developed and developing countries over recent decades. The growing demand for oil and energy reserves has amplified the urgency of this concern. The deployment of building energy management systems (BEMSs) can lead to timely responses to changes in environmental conditions, the prevention of energy wastage, a reduction in CO2 emissions, and an increase in the longevity of building equipment. Despite the undeniable benefits of BEMSs, their market size remains small, creating challenges for providers in reaching potential customers. This research seeks to identify and prioritize the marketing strategies for BEMSs. A case study was conducted, employing the “Strengths, Weaknesses, Opportunities, and Threats” analysis as a tool for identifying marketing strategies related to BEMSs. This method resulted in the identification of 18 distinct marketing strategies. These strategies were subsequently prioritized using a novel fuzzy multicriteria decision‐making technique, VIkor‐topSIS, considering six specific criteria. The findings of the study suggested a hierarchical influence of six criteria on the BEMS market, arranged in the following order of significance: effectiveness, cost, attainability, complexity, timing, and popularity. Furthermore, the top three marketing strategies for BEMSs were found to be internet advertising strategies, discounts to consumers, and online sales. The analysis of the results has also offered valuable insights into the strengths and weaknesses of the studied BEMS provider, as well as the opportunities and threats present within the BEMS market.

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“…Uncertainties exist inevitably in nature and human society. From the mathematical viewpoint, uncertainty value could be classified into interval number, fuzzy number and stochastic number [11]. Uncertainty would influence the rationality of the scheme of BMPs spatial optimal allocation by affecting the NPS pollution treatment efficiency and the cost of BMPs facility.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty

Cao²,

Wu³

et al. 2022

Sustainability

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Watershed Best management Practices (BMPs) spatial optimal layout would be affected by uncertainty, and there are still three problems which are worthy of studying in the present studies of watershed BMPs spatial optimal layout under uncertainty: (1) how to integrate multiple uncertainties in optimization model effectively; (2) how to avoid subjective weight in multi-objective uncertainty model; (3) how to develop more elastic schemes for uncertainty impact. To solve the mentioned problems, this study takes Zhegao river watershed, China as an example, interval stochastic fuzzy fractional programming (ISFFP) integrated with SWAT hydrology model is applied for BMPs spatial optimal layout in watershed to reduce non-point source (NPS) pollution. The result shows that the ISFFP method could solve the problems effectively, and the method could be adapted to different types of uncertainty, also the method has seldom been used in uncertainty BMPs spatial optimal layout, and the method is worth of popularization.

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Transformation and risk assessment of the East Kolkata Wetlands (India) using fuzzy MCDM method and geospatial technology

Cited by 22 publications

References 24 publications

Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China

Spatial Coupling Coordination Evaluation of Mixed Land Use and Urban Vitality in Major Cities in China

Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty

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