Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering

Moradpour, Nabi; Pourahmad, Ahmad; Ziari, Keramatollah; Hataminejad, Hossein; Sharifi, Ayyoob

doi:10.1016/j.buildenv.2024.111898

Building and Environment

2024

DOI: 10.1016/j.buildenv.2024.111898

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Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering

Nabi Moradpour,

Ahmad Pourahmad,

Keramatollah Ziari

et al.

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Cited by 9 publications

References 106 publications

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Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Kurrahman,

Tsai,

Sethanan

et al. 2024

Bus Strat Env

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This study develops and assesses the validity of a hierarchical structure for circular supply chain management performance (CSCMP) in the semiconductor industry. Previous studies have focused on synchronizing technological performance with eco‐innovation to enhance the circular operations, financial benefits, environmental advantages, and social benefits of CSCMP. This study employs a hybrid data–driven approach that combines qualitative and quantitative techniques to develop a hierarchical structure and determine the ranks of various attributes, thereby providing decision‐makers with valuable insights and practical guidance. Content and bibliographic analyses, the entropy‐weighted method, the fuzzy Delphi method, exploratory factor analysis, fuzzy decision‐making trials, evaluation laboratories, and fuzzy analytic network processes are incorporated in this data‐driven approach. The findings of this research suggest that stakeholders must collaborate to improve eco‐innovation and technological performance with the goal of enhancing CSCMP. Decision‐makers must prioritize stakeholder engagement, risk and responsibility sharing, and collaboration within the circular supply chain. Additionally, service innovations and network innovations can enhance the circularity model.

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Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Kurrahman,

Tsai,

Sethanan

et al. 2024

Bus Strat Env

View full text Add to dashboard Cite

show abstract

Urban resilience assessment and multi-scenario simulation: A case study of three major urban agglomerations in China

Xiao,

Yang,

Chen

et al. 2025

Environmental Impact Assessment Review

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Research on the Prediction Model of Consumer’s Emotional Response to Color in Packaging Design

Zhou,

Dong,

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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Packaging design has a non-negligible impact on consumers’ emotional feedback and purchase intention, and color, as one of the most important parts of packaging design, will also have an impact on consumer psychology. Based on the psychology of consumers in color consumption in packaging design, the article designs and constructs a multimodal learning-based model for predicting consumer emotions. The model is divided into a modality-specific learning module, a cross-modal fusion module, and an emotion prediction module to recognize and predict consumer emotions. At the same time, K-means, C-means, and ISO-DATA are introduced to extract features from colors in packaging design. The emotional imagery and positive-negative emotional bias of colors in this paper’s model are analyzed, and the accuracy of emotional prediction and training time of this paper’s model are examined. Gold, pink, green, orange, white, and yellow all have an emotional bias score greater than 2.5 and are classified as “positive” emotional colors. Purple, red, brown, blue, black, and grey were identified as “negative” emotion colors because their emotion bias values were less than 2.5. This paper’s model has the most accurate prediction accuracy and the shortest training time among the bimodal, trimodal, and quaternary sentiment analysis experiments. The model’s prediction accuracy increases as the number of modalities increases, but the training time also increases.

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Downscaling urban resilience assessment: A spatiotemporal analysis of urban blocks using the fuzzy Delphi method and K-means clustering

Cited by 9 publications

References 106 publications

Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Urban resilience assessment and multi-scenario simulation: A case study of three major urban agglomerations in China

Research on the Prediction Model of Consumer’s Emotional Response to Color in Packaging Design

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