A color design evaluation for the subway guidance system based on TFN-AHP and cloud model

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Abstract

Abstract In the subway guidance system, color is the visual medium for information transmission, influencing people’s travel experience. In order to quantitatively study the color design of subway guidance systems, this study introduces a color design evaluation method for subway guidance systems based on the TFN-AHP and cloud model. At first, based on the color function characteristics of subway guidance, user interviews, and literature research, a color design evaluation index system for subway guidance system was established from three aspects: information expression, environmental integration, and emotional connection. Furthermore, to handle uncertain evaluation information, triangular fuzzy numbers were integrated with AHP to calculate the weights of various indices. Subsequently, the introduction of cloud model theory generated the digital features and comprehensive cloud maps of the cloud model, effectively reducing the ambiguity and randomness of color design evaluation in subway guidance systems. Finally, a comprehensive evaluation of the color design for the subway guidance system was carried out. Three representative color design samples of subway guidance systems in China were studied using the proposed method, and the conclusions are as follows: (1) The color design within the subway guidance system is mainly concerned with functional aspects of information expression. (2) The comprehensive cloud and the standard cloud exhibit distinctions in the color evaluation of subway guidance systems. (3) Weight fluctuations have an impact on the evaluation results of color design in subway guidance systems.
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A color design evaluation for the subway guidance system based on TFN-AHP and cloud model | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A color design evaluation for the subway guidance system based on TFN-AHP and cloud model Cun liu, Z Zhao, Sheng Yao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7644618/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In the subway guidance system, color is the visual medium for information transmission, influencing people’s travel experience. In order to quantitatively study the color design of subway guidance systems, this study introduces a color design evaluation method for subway guidance systems based on the TFN-AHP and cloud model. At first, based on the color function characteristics of subway guidance, user interviews, and literature research, a color design evaluation index system for subway guidance system was established from three aspects: information expression, environmental integration, and emotional connection. Furthermore, to handle uncertain evaluation information, triangular fuzzy numbers were integrated with AHP to calculate the weights of various indices. Subsequently, the introduction of cloud model theory generated the digital features and comprehensive cloud maps of the cloud model, effectively reducing the ambiguity and randomness of color design evaluation in subway guidance systems. Finally, a comprehensive evaluation of the color design for the subway guidance system was carried out. Three representative color design samples of subway guidance systems in China were studied using the proposed method, and the conclusions are as follows: (1) The color design within the subway guidance system is mainly concerned with functional aspects of information expression. (2) The comprehensive cloud and the standard cloud exhibit distinctions in the color evaluation of subway guidance systems. (3) Weight fluctuations have an impact on the evaluation results of color design in subway guidance systems. Subway guidance system Color design evaluation TFN-AHP Cloud model Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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In order to quantitatively study the color design of subway guidance systems, this study introduces a color design evaluation method for subway guidance systems based on the TFN-AHP and cloud model. At first, based on the color function characteristics of subway guidance, user interviews, and literature research, a color design evaluation index system for subway guidance system was established from three aspects: information expression, environmental integration, and emotional connection. Furthermore, to handle uncertain evaluation information, triangular fuzzy numbers were integrated with AHP to calculate the weights of various indices. Subsequently, the introduction of cloud model theory generated the digital features and comprehensive cloud maps of the cloud model, effectively reducing the ambiguity and randomness of color design evaluation in subway guidance systems. Finally, a comprehensive evaluation of the color design for the subway guidance system was carried out. 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