Evaluation and Decision of a Seat Color Design Scheme for a High-Speed Train Based on the Practical Color Coordinate System and Hybrid Kansei Engineering

Author:

Xie Xuan-Hui1,Xu Yunpeng1,Guo Shilin1,Zhu Hongyang1,Yan Huiran1

Affiliation:

1. School of Industry Design, Hubei University of Technology, Wuhan 430068, China

Abstract

Color is an important visual element of high-speed train seats, which has a significant impact on passenger travel experience. In order to solve the problem that color design relies on the subjective experience of designers, this study aims to establish an effective evaluation and decision method for seat color design in a high-speed train based on the Practical Color Coordinate System (PCCS) and hybrid Kansei Engineering. Firstly, we created a series of design schemes based on the typical colors in the PCCS. Secondly, a new hybrid Kansei Engineering system was constructed; in this system, forward Kansei Engineering was constructed with Factor Analysis (FA) and Multidimensional Scaling Analysis (MDS) to analyze the cognitive feature of color sample. The Analytic Hierarchy Process (AHP) and Independent Weight Coefficient Method (IW) were used to calculate comprehensive weights, and backward Kansei Engineering was constructed with the TOPSIS to optimize and evaluate color design schemes. Finally, the design and evaluation methods were illustrated with a case. The results showed that (1) the three main influencing factors of seat color design for high-speed trains included function, aesthetics and experience, and comfort and harmony; two other potential factors included calmness and relaxation. (2) In the PCCS, warm colors have a better esthetic, while cool colors are calmer. Tones with medium brightness and saturation such as It- and Sf-tones are the optimal choice, while the V-tone is not suitable for seat color design. The effectiveness of this method is verified by a case study, which provides a reference for seat color design evaluation and optimization of high-speed trains.

Funder

Hubei University of Technology 2023 Doctoral Research Foundation Project

Publisher

MDPI AG

Reference75 articles.

1. Study on Direction of High-Speed Train Interior Design;Song;J. Ind. Des. Stud.,2018

2. Analysis of Interior Design Features of Chinese and Foreign High-speed Trains′Seating Cabins;Liao;Packag. Eng.,2012

3. Zhi, J. (2008). Analysis of Color and Lighting Factors in Designing the Inner Space of Passenger Train. Decorate, 136–137.

4. Zhi, J., and Xu, B. (2007). Discussions on the Humane Interior Designs of Passenger Train. J. Southwest Jiaotong Univ. (Soc. Sci. Ed.), 27–34.

5. Comparative Analysis of Four Major Color Systems;Huang;Packag. Eng.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3