Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method

Huang, Wencheng; Zhang, Yue; Yu, Yaocheng; Xu, Yifei; Xu, Minhao; Zhang, Rui; Dieu, Gatesi Jean De; Yin, Dezhi; Liu, Zhanru

doi:10.1016/j.ress.2020.107236

Cited by 74 publications

(35 citation statements)

References 24 publications

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“…In the research of energy and related fields, scholars used the entropy weight method to optimize the design of the hybrid energy system [24], comprehensively evaluate power grid planning [25], evaluate park energy utilization [26], a comprehensive risk assessment of electricity [27], calculation of petroleum standard indicators [28], and in a diesel engine emission evaluation [29]. In traffic and transportation, scholars have used the entropy weight method to evaluate the transportation of dangerous goods [30], and analyze road traffic conditions [31]. In other practical application fields, scholars also used the entropy weight method to determine weight coefficients in ionospheric combination prediction [32], construction project management evaluation [33], decision support for heavy machine re-manufacturing [34], and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Huang¹,

Han²

2021

Sustainability

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As an important part of daily economic activities, freight transportation produces various pollutions during the transportation process, which will have a negative effect on the sustainable development of the environment. In this paper, the entropy weight technique for order of preference by similarity to ideal solution (TOPSIS) combination method was used for specific calculations, in order to judge whether transportation is environmentally sustainable. On the basis of selecting and classifying several the important factors of freight transportation, the entropy weight method was used to calculate and analyze the data of inland river transportation over 8 recent years. The weight of each influencing factor was determined, then the TOPSIS method was used to compare the environmental data of 8 years, and the environmental sustainability of the target river transport section was calculated by comparing the results. The method proposed in this paper is the first example of using the entropy weight–TOPSIS combination method to evaluate environmental sustainability in the field of freight transportation, also solving the problems of the impact of subjective factors in existing methods and the difficulty of dealing with multiple factors.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Huang¹,

Han²

2021

Sustainability

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“…A multi-objective mathematical model is used for selection of dangerous goods transportation (Samanlıoğlu, 2013;Pamučar et al 2016;Jassbi & Makvandi, 2010). Also, many studies are available on dangerous materials transportation such as designing the terminal layout for safety (Santarremigia et al, 2018;Hervás-Peralta, 2020), evaluating safety systems in airfreight operations (Huang et al, 2020), risk assessment (Huang et al, 2021;Kanj et al, 2019;Galieriková et al, 2018;Gul et al, 2019;Raemdonck et al, 2013), evaluation of the work of advisors in the transport of hazardous goods (Pamucar et al, 2019;Milosevic et al, 2021). A limited study is carried on the selection of freight trailers (Görçün, 2019a;Görçün, 2019b) but they are not related to tanker selection.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Görçün

Subramanian²,

Küçükönder

2021

Decis. Mak. Appl. Manag. Eng.

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Petroleum product transportation considered as one of the crucial parts of dangerous material transportation is a risky logistics activity. The selection of the appropriate tanker vehicles may be a suitable solution to reduce the risks and increase the efficiency and performance of the fuel transportation companies. However, the selection of a suitable road tanker vehicle is not an easy task for decision-makers as there are many conflicting criteria and many decision alternatives. In addition, decision-makers may have to decide with insufficient information since collecting crisp values may not be possible at all times. Hence, many ambiguities affecting the evaluation results exist in an assessment process performed to select the best tanker vehicle option. This paper suggests a novel integrated fuzzy approach to solve these decision-making problems. Sensitivity analysis is conducted to test the validation of the proposed integrated fuzzy approach and its results was performed by forming 130 scenarios. The results of sensitivity analysis prove that the proposed model can be applied to solve these kinds of decision-making problems.

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“…Bui et al [ 16 ] evaluated 273 keywords and 22 indicators obtained based on the experts’ advice by entropy weight method, fuzzy decision-making trial and evaluation laboratory in supply chains. Huang et al [ 17 ] used two historical data-driven weight calculation approaches including Entropy Weight Method (EWM) and Scatter Degree Method (SDM) to solve the risk assessment of railway dangerous goods transportation system (RDGTS). Li et al [ 18 ] applied principal component analysis (PCA), entropy method and random forest to calculate weighted coefficients of key metrics when assessing the ecological health of large rivers.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al [ 18 ] applied principal component analysis (PCA), entropy method and random forest to calculate weighted coefficients of key metrics when assessing the ecological health of large rivers. But references [ 16 , 17 , 18 ] just used the traditional entropy method and didn’t improve the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis

Deng

Liu

2020

Entropy

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The lack of adequate indicators in the research of digital economy may lead to the shortage of data support on decision making for governments. To solve this problem, first we establish a digital economy indicator evaluation system by dividing the digital economy into four types: “basic type”, “technology type”, “integration type” and “service type” and select 5 indicators for each type. On this basis, the weight of each indicator is calculated to find the deficiencies in the development of some digital economic fields by the improved entropy method. By drawing on the empowerment idea of Analytic Hierarchy Process, the improved entropy method firstly compares the difference coefficient of indicators in pairs and maps the comparison results to the scales 1–9. Then, the judgment matrix is constructed based on the information entropy, which can solve as much as possible the problem that the difference among the weight of each indicator is too large in traditional entropy method. The results indicate that: the development of digital economy in Guangdong Province was relatively balanced from 2015 to 2018 and will be better in the future while the development of rural e-commerce in Guangdong Province is relatively backward, and there is an obvious digital gap between urban and rural areas. Next we extract two new variables respectively to replace the 20 indicators we select through principal component analysis and factor analysis methods in multivariate statistical analysis, which can retain the original information to the greatest extent and provide convenience for further research in the future. Finally, we and provide constructive comments of digital economy in Guangdong Province from 2015 to 2018.

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Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method

Cited by 74 publications

References 24 publications

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Research on Evaluation Method of Freight Transportation Environmental Sustainability

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Analysis on the Development of Digital Economy in Guangdong Province Based on Improved Entropy Method and Multivariate Statistical Analysis

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