Safety evaluation of rail transit vehicle system based on improved AHP-GA

Dong, Siming; Yu, Fei; Wang, Kang

doi:10.1371/journal.pone.0273418

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…The Analytical Hierarchy Process (AHP) is an analytical decision-making method proposed by American scholar Professor Saaty that can systematize and hierarchize complex multi-objective problems [ 26 , 27 ]. It quantifies qualitative indicators through pairwise comparison to calculate the weightage values and total ranking of the indicators at each hierarchy [ 28 , 29 ], thus achieving design decisions [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Research on an innovative design and evaluation method of Chinese tea sets based on GT-AHP-FCE

Zhao,

Hamat,

Wang

et al. 2024

PLoS ONE

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Aims In order to explore new consumer demands for Chinese tea set products, propose an innovative tea set product design and evaluation method to improve the user experience and satisfaction of the produced tea sets, thereby promoting the development of the tea set market and the promotion of tea culture. Methods Firstly, grounded theory (GT) was used to analyze interview data to extract consumer demand indicators and construct a design evaluation hierarchical model. Secondly, the Analytical Hierarchy Process (AHP) was used to calculate the weights of the indicators, determine their priority of importance, and obtain several indicators that have a greater impact on the tea set design to guide innovative design practice. Lastly, the tea set design schemes were evaluated using the fuzzy comprehensive evaluation method to select the optimal design scheme and also to act as a guideline for further design optimization. Conclusion This study explores the innovative design and evaluation method for tea set products based on GT-AHP-FCE and validates the feasibility of this approach through a practical example of tea set design inspired by “The Classic of Mountains and Seas.”. It provides innovative theoretical and practical guidance for designers of subsequent tea set products and also provides a new path for the inheritance and innovation of traditional culture.

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Section: Methodsmentioning

confidence: 99%

Research on an innovative design and evaluation method of Chinese tea sets based on GT-AHP-FCE

Zhao,

Hamat,

Wang

et al. 2024

PLoS ONE

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“…When CR<0.1, the judgment matrix has satisfactory consistency [61]. PLOS ONE Online database (https://plants.usda.gov/home);Professional book "Manual of Woody Landscape Plants" [43].…”

Section: Determining the Evaluation Weight 251 Determination Of The W...mentioning

confidence: 99%

Comprehensive evaluation and application of woody plants in the green spaces of parks in saline–Alkaline areas from a low-carbon perspective: A case study of Tianjin Qiaoyuan Park

Bai,

Wang

2024

PLoS ONE

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The field of landscape architecture has placed significant emphasis on low-carbon landscapes due to the increasing challenges posed by global warming and environmental deterioration in recent years. The soil ecological conditions in saline–alkaline areas are characterized by poor quality, resulting in suboptimal growth conditions for trees. This, in turn, hampers their ability to effectively sequester carbon, thereby diminishing the potential benefits of carbon sinks. Additionally, the maintenance of tree landscapes in such areas generates more carbon emissions than does conventional green land, making it difficult to reap the benefits of tree-based carbon. A comprehensive evaluation of trees in green park spaces in saline–alkaline areas is conducted from a low-carbon perspective; by identifying the dominant tree species that are well suited to greening, we can offer a precise scientific foundation for implementing low-carbon greening initiatives in cities situated in saline–alkaline environments. Therefore, as a case study, this study investigates Tianjin Qiaoyuan Park, a typical saline park in the Bohai Bay region. The hierarchical analysis method (AHP) was used to evaluate 50 species of trees and shrubs in the park from a low-carbon perspective. The results show that the evaluation system consists of four criterion layers and 15 indicator factors. The relative weight of the criterion layer followed the order of habitat adaptability (B2) > carbon sequestration capacity (B1) > low-carbon management and conservation (B3) > landscape aesthetics (B4). The indicator layer assigned greater weight values to net assimilation (C1), saline and alkaline adaptability (C3), drought tolerance (C4), irr igation and fertilization needs (C8), growth rate (C2), and adaptability to barrenness (C5). The trees were classified into five distinct categories, with each exhibiting significant variation in terms of the strengths and weaknesses of the indicators. According to the comprehensive score, the trees were categorized into three levels. The Grade I plants exhibited the best carbon efficiency performance, comprising a total of 12 species (e.g. Sabina chinensis, Fraxinus chinensis ’Aurea’ and Hibiscus syriacu), and demonstrated superior performance in all aspects. Grade II trees, consisting of 26 species (e.g Pinus tabuliformis, Paulownia fortunei, Ligustrum × vicaryi), had the second-highest comprehensive score. Moreover, Grade III trees, encompassing 12 species (e.g Acer mono, Cedrus deodara, Magnolia denudata), exhibited lower comprehensive scores. The extensive use of Grade I and II tree species is recommended in the implementation of low-carbon greening projects in the Bohai Bay region, while Grade III tree species should be judiciously utilized. The findings of this research can serve as a valuable resource for the scientific identification of tree species that are suitable for urban park green spaces in the Bohai Bay region, which is characterized by predominantly saline and alkaline soil. Additionally, the development of an evaluation system can guide the selection of low-carbon tree species when evaluating other types of saline and alkaline lands.

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“…The commonly used decision models in the field of rail transit are the AHP (Dong et al, 2022), ANP (Peng et al, 2022), and TOPSIS methods (Yin et al, 2022), which pursue the maximization of utility value (refer to Table 2 for details). Therefore, there is an implicit assumption that criteria can compensate each other, and the mutual compensation between criteria will lead to risk preference decision results.…”

Section: Review Of Relevant Literature On Decision Models For the Est...mentioning

confidence: 99%

Research on the decision framework of an energy storage traction system plan for rail transit from the low-carbon perspective—based on the interval-value Pythagorean intuitionistic fuzzy environment

Lin,

Xu,

Liu

et al. 2023

Front. Energy Res.

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Low carbonization of the traction system is the key to low-carbon rail transit operation, and its preliminary plan decision plays a decisive role in whether low carbon can be achieved in later stages. Therefore, how to achieve scientific decisions of energy storage traction systems in a low-carbon background is a problem that needs to be solved. The innovation of this paper is as follows: first, aiming at the reality of the rail transit energy storage traction system, a decision index system of the energy storage traction system which contains seven attributes and 18 criteria is constructed; second, aiming at the uncertainty of decision information and the decision makers’ aversion to risk, the decision model adapted to the energy storage traction system decision is constructed based on the interval Pythagorean intuitionistic fuzzy number and VIKOR model principle. The decision index system and decision model together constitute the decision framework. The case study results show that the decision index system can provide scientific guidance for the decision of the energy storage traction system, and the decision model can provide risk aversion type decision results with good robustness.

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Safety evaluation of rail transit vehicle system based on improved AHP-GA

Cited by 7 publications

References 38 publications

Research on an innovative design and evaluation method of Chinese tea sets based on GT-AHP-FCE

Research on an innovative design and evaluation method of Chinese tea sets based on GT-AHP-FCE

Comprehensive evaluation and application of woody plants in the green spaces of parks in saline–Alkaline areas from a low-carbon perspective: A case study of Tianjin Qiaoyuan Park

Research on the decision framework of an energy storage traction system plan for rail transit from the low-carbon perspective—based on the interval-value Pythagorean intuitionistic fuzzy environment

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