A Fuzzy DEMATEL Analysis of Cultural Variables in Traffic Rules Violation

Mavi, Reza Kiani; Zarbakhshnia, Navid; Khazraei, Armin

doi:10.4018/ijsds.2017100103

Cited by 9 publications

(5 citation statements)

References 43 publications

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“…Thus, a hybrid approach (Mavi et al ., 2017) approach is implemented in this study. Figure 4 summarizes the methodology adopted by this paper as follows.…”

Section: Data Collection and Methodologymentioning

confidence: 99%

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

Zhang

Srivastava

Eachempati

et al. 2021

IJLM

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PurposeThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic.Design/methodology/approachA hybrid multicriteria model, i.e. Fuzzy Analytical Hierarchy Process (AHP), was used to assign weights to each criterion, which was subsequently analyzed by three approaches, namely Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory), and Evaluation Based on Distance from Average Solution (EDA), to rank the top ten companies in descending order of supply chain resilience. Further, sensitivity analysis is performed to identify the consistency in ranking with variation in weights. The rankings are validated by a novel Ensemble Ranking algorithm and by supply chain domain experts.FindingsThe rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.Practical implications“Crisis Management Beforehand” is most critical in the current pandemic scenario. This implies that companies need to first prioritize taking proactive steps in crisis management followed by the need to minimize the “Expected impact of pandemic.” Performance factors also need to be regulated (sales, supply chain rank and financial performance) to maintain the company's overall reputation. Considering the consistent performance of the China Energy Construction Group Tianjin Electric Power Construction Co., Ltd., it is recommended as the most reliable supply chain firm to forge strategic partnerships with other supply chain stakeholders like suppliers and customers. On the other hand, Bosch is not recommended as a supply chain reliable company and needs to improve its crisis management capabilities to minimize the pandemic impact.Originality/valueThe paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic. The rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.

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“…Thus, a hybrid approach (Mavi et al ., 2017) approach is implemented in this study. Figure 4 summarizes the methodology adopted by this paper as follows.…”

Section: Data Collection and Methodologymentioning

confidence: 99%

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

Zhang

Srivastava

Eachempati

et al. 2021

IJLM

View full text Add to dashboard Cite

show abstract

“…us, a hybrid approach [44] is envisaged to accomplish the objectives of this paper. e methodology adopted is divided into the following phases:…”

Section: Rationale For Methodology (Pestle Framework and Hybrid Multicriteria Model)mentioning

confidence: 99%

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Srivastava

Zhang

Eachempati

et al. 2021

Journal of Advanced Transportation

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The paper aims to build a hybrid personalized multicriteria model in the Indian transportation industry to identify the most feasible transport mode suitable for commuters’ customized preferences. A hybrid multicriterion model, i.e., Fuzzy Analytical Hierarchy Process (AHP), was used to compute the criteria weights, which were subsequently analyzed by three approaches, namely, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS, Evaluation Based on Distance from Average Solution (EDA), and Interpretive Ranking Process (IRP). The case of an Indian metropolitan city, Hyderabad, is taken to illustrate the proposed approach. The paper highlights the following transport modes: metropolitan train (unconventional mode) and conventional modes such as the car, public bus transport, and bikes for Hyderabad. Furthermore, sensitivity analysis is performed to identify the consistency in ranking with variation in weights, and the Ensemble Ranking and transportation experts validate the rankings.

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“…Moreover, MCDM methods such as fuzzy DEMATEL [28][29][30] can be used in the field of traffic safety. For example, in [31] the influence of cultural variables affecting traffic rules violation and causing traffic accidents have been investigated.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road

et al. 2020

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Trends of globalization very often cause the emergence of phenomena that asymmetrically affect the overall sustainability of the transport system. In order to predict certain situations and potentially be able to manage the transport system, it is necessary to manage risk situations and traffic safety in a timely manner. This study has conducted an investigation which implies defining the level of safety of a total of nine sections of two-lane roads. The main aim of the paper is to create a new multiphase model consisting of CRITIC (The CRiteria Importance Through Intercriteria Correlation), Fuzzy FUCOM (Full Consistency Method), DEA (Data Envelopment Analysis), and Fuzzy MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods for determining the level of traffic safety on road sections under the conditions of uncertainty. In order for the created model to be adequately applied, eight parameters were created, and they were classified through four inputs and four outputs. To calculate the significance of the inputs, the CRITIC method based on the symmetric correlation matrix was used, and taking into account the nature of the outputs, the Fuzzy FUCOM method based on averaged values using the fuzzy Bonferroni Mean (BM) operator was applied to determine their weights. To determine the degree of safety, the DEA model was created. After that, the Fuzzy MARCOS method was used in order to determine the final ranking of the remaining five sections of the road network. Finally, the verification of results was performed through three phases of Sensitivity Analysis (SA).

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A Fuzzy DEMATEL Analysis of Cultural Variables in Traffic Rules Violation

Cited by 9 publications

References 43 publications

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

A Novel CRITIC-Fuzzy FUCOM-DEA-Fuzzy MARCOS Model for Safety Evaluation of Road Sections Based on Geometric Parameters of Road

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