Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China : A fuzzy-based linguistic approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

2 Scopus Citations
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Author(s)

  • Zhen-Song Chen
  • Xiao-Lu Liu
  • Rosa M. Rodríguez
  • Xian-Jia Wang
  • Kwok-Leung Tsui
  • Luis Martínez

Detail(s)

Original languageEnglish
Article number106558
Journal / PublicationApplied Soft Computing Journal
Volume95
Online published23 Jul 2020
Publication statusPublished - Oct 2020

Abstract

Factors affecting customer comfort are crucial for the success of many services such as public transportation, health facilities, and so on. Therefore, the identification and prioritization of such factors is an important demand from stakeholders. This research aims to identify and prioritize the factors that affect in-cabin passenger comfort on high-speed rail (HSR) based on empirical evidence collected from China. For the identification process, the quality-management tool known as quality function deployment (QFD) to capture the voice of the customer is used to discover the most important demands as the driving influencing factors of in-cabin passenger comfort, by utilizing passengers’ feedback regarding their experiences with HSR posted in social media. Such factors will be prioritized by a fuzzy linguistic group decision-making approach based on the adoption of generalized comparative linguistic expressions obtained from a questionnaire investigation on randomly selected HSR passengers, and accomplishing a decision-solving procedure that includes consistency-checking and consensus-reaching processes to achieve an effective, reliable, and agreed prioritization of the factors. The research outputs will suggest the factors of greatest concern among all HSR passenger demands. This study gives HSR operators and designers not only insights and tools for managing HSR passenger demands but also advice for refining the design and service quality of HSR in China.

Research Area(s)

  • Consensus reaching, Consistency checking, High-speed rail, Passenger comfort satisfaction, Quality function deployment

Citation Format(s)

Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China : A fuzzy-based linguistic approach. / Chen, Zhen-Song; Liu, Xiao-Lu; Rodríguez, Rosa M.; Wang, Xian-Jia; Chin, Kwai-Sang; Tsui, Kwok-Leung; Martínez, Luis.

In: Applied Soft Computing Journal, Vol. 95, 106558, 10.2020.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal