Developing a coupled environmental impact assessment (C-EIA) method with sustainable development approach for environmental analysis in coal industries

Mohebali, Sajjad; Maghsoudy, Soroush; Ardejani, Faramarz Doulati; Shafaei, Foojan

doi:10.1007/s10668-019-00513-2

Cited by 14 publications

(10 citation statements)

References 36 publications

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“…Murphy et al (2000) claimed that a positive relationship exists between the tourists' understanding of the atmosphere, infrastructure, value, and willingness to revisit their perceptions and experiences. Gill and Ibrahim (2005) also confirmed the impact of the image of any destination on the tourist perception in terms of environment, safety, and comfort (Islam et al, 2020;Lin et al, 2019;Mohebali et al, 2019). On the top, Mohamad et al (2012) posited that tourist perception has an influence on tourists' forthcoming behavioral intents based on the study conducted on overseas tourists in Malaysia.…”

Section: The Mediation Role Of Tourist Perceptionmentioning

confidence: 94%

“…There is some evidence of successful development of destination personality. For example, London is recognized as liberal, unorthodox, and creative, Spain as welcoming and family-oriented, and Paris as a heaven of lovers (Morgan & Pritchard, 2002 ; Majumder et al ., 2018 ; Lin et al, 2019 ; Mohebali et al, 2019 ; Li et al, 2020 ; Nhamo et al, 2020 ). Ekinci and Hosany ( 2006 ) confirmed this perspective by showing that popular tourist attractions are affluent in terms of symbolic values associated with histories, legends, emotions, and events.…”

Section: Literature Reviewmentioning

confidence: 99%

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How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh

Polas

Saha

Tabash

2021

Environ Dev Sustain

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The paper aims to identify the factors that cause prospective tourists’ hesitation to travel. The study also examines whether this relationship is mediated by the tourist perception in Bangladesh. The study is of quantitative design, and the relationships between tourist knowledge, tourist health risk, and destination personality with tourist hesitation were explored using a sample of 322 Bangladeshi prospective tourists. The three relationships were also examined through tourist perception. By using cross-sectional data, the researchers hypothesized that tourist knowledge, tourist health risk, and destination personality have a positive and significant effect on tourist hesitation. Besides, the researchers also hypothesized that tourist perception mediates the relationships between tourist knowledge, tourist health risk, and destination personality with tourist hesitation. In this respect, the Smart PLS 3.0 was employed to analyze the data. The results of the study confirm findings of previous related studies by not only highlighting the importance of tourist perception in shaping tourist hesitation but also indicating the way each dimension of tourism either enhances or inhibits the tourist hesitation. The results of the study also reveal a positive and significant relationship between tourist knowledge and tourist health risk with tourist hesitation. The analysis of data showed no conventional relationship between destination personality and tourist hesitation. Accordingly, this study identified the extent to which tourist perception mediates the relationship between tourist knowledge and destination personality with tourist hesitation. Meanwhile, the results of the study indicate the absence of any mediation role of tourist perception between tourist health risk and tourist hesitation. The study outcomes would encourage the government, policymakers, and tourism managements in creating a tailor-made responsiveness program by building a scenario that could offer more prominent sustainable tourism establishments. Besides, the results may assist stakeholders of tourist destinations in understanding tourist perception and the causes of tourist’s hesitation.

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Section: The Mediation Role Of Tourist Perceptionmentioning

confidence: 94%

Section: Literature Reviewmentioning

confidence: 99%

How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh

Polas

Saha

Tabash

2021

Environ Dev Sustain

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“…Figure 2 shows the MCDM methods used in the current study. Also, the combination of Borda and Copeland algorithms were used to nd a unique solution, as discussed in detail by Mohebali et al (2019).…”

Section: Theoretical Background 2-1-subsurface Dams and Applicationsmentioning

confidence: 99%

Introducing an Efficient Socio-Economically Oriented Data Envelopment Analysis Method for Selecting the Optimum Groundwater Dam Site Location

Maghsoudy

Fathianpour

2021

Preprint

Self Cite

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Groundwater dams are commonly constructed in arid and semiarid regions for subsurface storage of water. In this study, an attempt is made to present a new efficiency-based site selection methodology for constructing groundwater dams based on socio-economic approaches. The site selection process was conducted in a semiarid region in Central Iran. A total of 13 different criteria in four major classes of climate, geology, hydrology, and socio-economy were defined. Nine multi-criteria decision making (MCDM) methods were used for site selection, followed by integrating the results by Borda and Copeland algorithms. The data envelopment analysis (DEA) was employed for selecting the optimum groundwater dam site from the same choices. The DEA method is based on efficiency and it is capable for evaluating the performance of each alternative. Four different scenarios, including the CCR-Input, CCR-Output, BCC-Input, BCC-Output, were used to implement the DEA approach. In addition, the socio-economic-based optimization equation was solved by considering three socio-economic criteria as the output of the DEA model. The results show that the CCR method provides the best results for groundwater dam site selection by maximizing the outputs. Two algorithms, namely the Potential Improvement and Input/output contribution, were used to evaluate the performance of each alternative. These algorithms show the amount of improvement for each selected option. The application of the DEA method, as a new approach for groundwater dam site selection, can increase the performance of the selected option and facilitate dam maintenance throughout its operation time.

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“…In their reduced format, the table lines indicate the environmental conditions that can be affected and the columns indicate the existing impacting activities that affect them. Each cell in the table shows exactly two pieces of information: the intensity of the impact and its degree of importance [18].These two pieces of information are the criteria for analyzing each impact. A model of the reduced matrix is presented in Fig.…”

Section: Leopold Matrixmentioning

confidence: 99%

Turbining the Leopold Matrix

Figueiredo¹,

Santos²,

Ramos³

2020

IJAERS

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The conservation of natural resources is a fundamental issue, in addition to being, in many cases, regulated by laws and decrees. In Brazil, resolutions require a rigorous environmental impact assessment to be carried out and the EIA (Environmental Impact Study) and RIMA (Environmental Impact Report) to be generated in any projects with activities that potentially cause degradation to the environment. A widespread way of assessing environmental impacts is the interaction matrix known as the Leopold Matrix. Many scientific articles use the original or modified Leopold matrix to perform the assessment of environmental impacts, although they commonly point out disadvantages or limitations in the use of the matrix. The purpose of this article is to propose a new matrix, named "Leopold Turbinated Matrix", with the elimination of the identified disadvantages, in addition to enhancing the advantages, without visually loading the matrix, in addition to including new elements, which enhance its ability to evaluate and predict environmental impacts. For this, an in-depth study was carried out on the applications of the matrix based on national and international scientific and technological. The developed "Leopold Turbine Matrix"solve identified disadvantages or limitations, in addition to including new criteria, so that it constitutes a new powerful, efficient and comprehensive tool regarding the assessment of environmental impacts.

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Developing a coupled environmental impact assessment (C-EIA) method with sustainable development approach for environmental analysis in coal industries

Cited by 14 publications

References 36 publications

How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh

How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh

Introducing an Efficient Socio-Economically Oriented Data Envelopment Analysis Method for Selecting the Optimum Groundwater Dam Site Location

Turbining the Leopold Matrix

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