Evaluation of Emergency Evacuation Capacity of Urban Metro Stations Based on Combined Weights and Topsis-Gra Method in Intuitive Fuzzy Environment

Zhang, Jixin; Huang, Dongyang; You, Qiuju; Kang, Jian; Shi, Minghao; Lang, Xiaosong

doi:10.2139/ssrn.4355051

Cited by 2 publications

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“…However, the main defect of this method is that it only uses Euclidean distance as the criterion to judge the advantages and disadvantages of the scheme, and it cannot fully reflect the dynamic changes of the data sequence of the sample or the research object, which is complementary to the grey relational analysis. Although the grey relational analysis method can reflect the advantages and disadvantages of the sample or the investigated object from the dynamic curve of the data, it cannot directly reflect the distance position of the sample [ 17 – 19 ]. Based on the advantages and disadvantages of TOPSIS evaluation method and grey relational analysis method based on entropy weight, through literature review and practical verification and analysis, the author thinks that grey relational analysis method can effectively make up for the shortcomings of entropy weight method, and combine the two research methods to evaluate the development level of the system better and more accurately, and make a more scientific choice and ranking of evaluation schemes and evaluation objects, which is also a method choice and innovation different from other research results.…”

Section: Urban Low-carbon Economic Development Level Evaluation Model...mentioning

confidence: 99%

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion

Zhang,

Gao,

Zhang

et al. 2024

PLoS ONE

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With the world population growth, energy consumption and the rapid development of industrial economy, a large amount of carbon emissions has brought destruction and threats to the earth’s environment on which human beings depend. The development of low-carbon economy has become the consensus of governments all over the world and has been vigorously advocated & promoted. This paper focuses on the top five global GDP nations in 2022: The United States, China, Japan, Germany, and Britain. A comprehensive evaluation index system of urban low-carbon economic development level is constructed from four dimensions: economic development level, environmental quality, energy consumption emission intensity and social development speed by using literature review and field interview. The evaluation measures are determined using the TOPSIS evaluation method with entropy weight and the grey relational model, providing a comprehensive assessment of the low-carbon economy’s development level in these five countries." Judging from the comprehensive evaluation score, the overall development of low-carbon economy in American cities is in good condition and has reached the development standard of low-carbon economy; Germany and Japan rank second and third, and they are low-carbon economies. Britain ranks fourth in comprehensive evaluation, although it belongs to a low-carbon economy country, but there is still a certain gap with Germany and Japan; There is still a big gap between China and the other four countries. Based on the measurement and evaluation outcomes, it presents recommendations and strategies to foster the growth of low-carbon economies, offering valuable insights for the advancement of such economies across different nations. The research results guide countries all over the world to reduce carbon emissions in the process of economic development, protect the earth environment on which human beings depend, and make a better tomorrow for sustainable development.

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Section: Urban Low-carbon Economic Development Level Evaluation Model...mentioning

confidence: 99%

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion

Zhang,

Gao,

Zhang

et al. 2024

PLoS ONE

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“…Simultaneously, the Gray method, introducing Gray relational degree among metrics as a distance measure, better reflects internal variations in each scheme, addressing the limitations of TOPSIS. 10 While AHP is widely used to establish standard weights via standard pairwise comparisons and is integrated with various MCDM methods. The primary issue lies in the lack of consistency in pairwise comparisons.…”

Section: Introductionmentioning

confidence: 99%

Cognitive evaluation of HUD interface layout for intelligent automotive based on Bayesian BWM and Gray-TOPSIS

Zhang,

Wang,

et al. 2024

Advances in Mechanical Engineering

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To reduce drivers’ cognitive load during the driving process, The present study concentrates on the cognitive evaluation and analysis of the Head-Up Display (HUD) interface layout, aiming to enhance human cognitive efficiency. Initially, a combination of eye-tracking technology and cognitive load theory is used to investigate users’ attention allocation and changes in eye movement indicators, followed by the conversion of these indicators. A comprehensive HUD interface layout evaluation system is established, considering structural layout esthetics, task efficiency, and cognitive load. To achieve this, an intelligent cognitive evaluation method for the automotive HUD interface layout is proposed, based on the Bayesian BWM and Gray-TOPSIS. Bayesian BWM is employed to determine the weights of evaluation indicators, followed by Gray-TOPSIS to assess and rank the layout candidate solutions. Experimental results indicate that in the optimal layout design, users exhibit fewer eye movements, shorter gaze durations, esthetically pleasing interface structures, and lower cognitive loads. Furthermore, comparative experiments validate the effectiveness and stability of the Bayesian BWM and Gray-TOPSIS methods. These findings offer guidance and reference for further optimizing the layout of intelligent automotive HUD interfaces.

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Evaluation of Emergency Evacuation Capacity of Urban Metro Stations Based on Combined Weights and Topsis-Gra Method in Intuitive Fuzzy Environment

Cited by 2 publications

References 0 publications

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion

Charting a sustainable tomorrow: Advancing urban low-carbon economies through comprehensive evaluation and promotion

Cognitive evaluation of HUD interface layout for intelligent automotive based on Bayesian BWM and Gray-TOPSIS

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