HSR buying behavior modeling-Taiwan High Speed Railway case

Chuang, Huan-Ming; Chu, Chih‐Peng; Lin, Yu-Tzeng

doi:10.1109/ieem.2011.6118003

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…Positive perceptions of cleanliness were related to higher satisfaction, approach behaviours and higher levels of physical activity and prosocial behaviours. The relationship between the perception of cleanliness and satisfaction in a service setting was evaluated by Chua et al (2015), Chuang et al (2011), Emir and Saraçli (2011), Lam et al (2011, Lee and Kim (2014) and Wakefield and Blodgett (1996). The different studies were performed in a ski-resort, train, hotel, office, casino, a baseball and football stadium.…”

Section: Cleanliness Unravelledmentioning

confidence: 99%

“…Interestingly, multiple studies (Chua et al, 2015;Chuang et al, 2011;Emir and Saraçli, 2011;Lam et al, 2011;Lee and Kim, 2014;Wakefield and Blodgett, 1996) identified perceived cleanliness as an organism variable influencing customer satisfaction. Together with other variables such as safety and temperature, cleanliness is according to the two-factor theory a hygiene factor (Herzberg, 1966;Vilnai-Yavetz and Gilboa, 2010).…”

Section: Cleanliness Unravelledmentioning

confidence: 99%

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Cleanliness unravelled: a review and integration of literature

Vos

Galetzka

Mobach

et al. 2018

JFM

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Purpose The purpose of this paper is to present a systematic literature review on stimulus, organism and response variables related to actual and perceived cleanliness and develop a conceptual framework to encourage future research on cleanliness. Design/methodology/approach The PRISMA statement methodology for systematic literature review was applied. After analysing 926 articles, 46 articles were included and reviewed. Findings Stimulus, organism and response variables related to cleanliness were identified and integrated in a conceptual framework. A distinction was made between articles evaluating the relationship between stimulus and organism variables; stimulus and response variables; and organism and response variables. First, actual cleanliness, staff behaviour, condition of the environment, scent and the appearance of the physical environment were identified as stimuli variables influencing perceived cleanliness and service quality. Second, the presence of litter, behaviour and presence of others, scent, disorder, availability of trash cans and informational strategies were identified as stimuli affecting littering and other kinds of unethical behaviour. Third, the effect of perceived cleanliness (and other organism variables) on satisfaction, approach behaviours, physical activity and pro-social behaviour was registered. Practical implications The findings of this review allow in-house and corporate facility managers to better understand and identify most effective interventions positively influencing actual and perceived cleanliness. Originality/value No systematic literature review on antecedents and consequences of a clean environment has previously been conducted.

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Section: Cleanliness Unravelledmentioning

confidence: 99%

Section: Cleanliness Unravelledmentioning

confidence: 99%

Cleanliness unravelled: a review and integration of literature

Vos

Galetzka

Mobach

et al. 2018

JFM

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“…y_i = 1 indicates passenger i takes HSR to travel, and y_i = 0 indicates the i-th passenger chooses RPT. There are ten explanatory variables which are passengers' evaluations of the two modes in terms of five indicators, including fare level [43], extent of comfort [53], safety [54], ease of ticket-buying [11], and customer service [55]. Then, we define the odds ratio as the ratio of the probability of passenger i opting for HSR to the probability of passenger i opting for RPT 1 − p_i, to remove the upper limit of the value range:…”

Section: Modelmentioning

confidence: 99%

Factors Affecting Travel Mode Choice between High-Speed Railway and Road Passenger Transport—Evidence from China

2022

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High-speed rail (HSR) is advancing at an unprecedented speed in China. However, its impact on the road passenger transport (RPT) is under-investigated. In this paper, a questionnaire survey of RPT and HSR passengers in Shaoguan, Wenzhou, and Shantou, China, was carried out to pursue the sustainable development of RPT and HSR from the aspect of passenger mode choice behavior. The travel mode in the three cities was further investigated using a binary logit model. The findings show that improving the safety and comfort of RPT, as well as the fares and convenience of HSR, are most likely to change passenger choice. For every one unit increase in passenger satisfaction with either the safety or comfort of RPT, the ratio of the probability of passengers choosing RPT to the probability of passengers choosing HSR will increase by 1.6 times and 4.8 times, respectively. Additionally, for every one unit increase in passenger satisfaction with either HSR fares or convenience, the ratio of probability of passengers choosing HSR to the probability of passengers choosing RPT will increase by 4.95 times and 7.011 times, respectively. This study’s results reveal the factors influencing passengers’ choice of HSR and RPT, providing crucial perspectives on sustainable developments for future HSR and RPT projects. Findings from this study may be used by transport planners to provide policy recommendations not just for China, but also for other countries that are building HSR systems.

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“…Positive perceptions of cleanliness were related to higher satisfaction, approach behaviours, and higher levels of physical activity and pro-social behaviours. The relationship between the perception of cleanliness and satisfaction in a service setting was evaluated by Chua et al (2015), Chuang et al (2011), Emir and Saraçli (2011), Lam et al (2011), S. Y. Lee and Kim (2014), and Wakefield and Blodgett (1996).…”

Section: Perceptions Of Cleanlinessmentioning

confidence: 99%

“…Interestingly, multiple studies (Chua et al, 2015;Chuang et al, 2011;Emir & Saraçli, 2011;Lam et al, 2011;Lee and Kim, 2014;Wakefield & Blodgett, 1996) identified perceived cleanliness as an organism variable influencing customer satisfaction. Together with other variables such as safety and temperature, cleanliness is according to the two-factor theory a hygiene factor (Herzberg, 1966;Vilnai-Yavetz & Gilboa, 2010).…”

Section: Summary Of Findingsmentioning

confidence: 99%

Spotless? Perceived cleanliness in service environments

Vos

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HSR buying behavior modeling-Taiwan High Speed Railway case

Cited by 6 publications

References 6 publications

Cleanliness unravelled: a review and integration of literature

Cleanliness unravelled: a review and integration of literature

Factors Affecting Travel Mode Choice between High-Speed Railway and Road Passenger Transport—Evidence from China

Spotless? Perceived cleanliness in service environments

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