Dataset Information

Evaluation of passenger satisfaction of urban multi-mode public transport.

ABSTRACT: The scientific evaluation of passenger satisfaction for public transport is helpful to enhance the attraction of public transport. To improve the accuracy of passenger satisfaction evaluation for public transport and the scientificity and objectivity of the index weighting, combining the characteristics of analytic hierarchy process (AHP), entropy weight method (EWM) and fuzzy comprehensive evaluation(FCE) method, the passenger satisfaction evaluation system for Ningbo's urban public transportation was built. The paper analyzed 5046 questionnaires on conventional bus transit and 1682 questionnaires on rail transit in Ningbo city, Passenger satisfaction for Ningbo city's public transport was evaluated comprehensively, and the evaluation results showed that the overall passenger satisfaction of the public transport in Ningbo was 91.2 in 2019, The case study shows that the application of the AHP-EWM-FCE model on the multi-mode public transport system can objectively quantify passengers' feelings about urban public transport service, and thus provide a theoretical basis for the improvement of passenger satisfaction in Ningbo.

SUBMITTER: Zhang X

PROVIDER: S-EPMC7575119 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Evaluation of passenger satisfaction of urban multi-mode public transport.

Zhang Xinhuan X Liu Hongjie H Xu Mingming M Mao Chengyuan C Shi Junqing J Meng Guolian G Wu Jinhong J

PloS one 20201020 10

The scientific evaluation of passenger satisfaction for public transport is helpful to enhance the attraction of public transport. To improve the accuracy of passenger satisfaction evaluation for public transport and the scientificity and objectivity of the index weighting, combining the characteristics of analytic hierarchy process (AHP), entropy weight method (EWM) and fuzzy comprehensive evaluation(FCE) method, the passenger satisfaction evaluation system for Ningbo's urban public transportat ...[more]

PMID: 33079972

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Project description:Objective Based on regulatory focus theory, it was predicted that there would be a relationship between regulatory focus, health-related perceived risk of using public transport during COVID-19, and choice of public transport mode. Method The study focused on choice between demand responsive transport (DRT), and more traditional modes of public transport, buses and private taxis. Participants completed online questionnaires to measure chronic regulatory focus, perception of health-related risk of using public transport, and choice of public transport mode (choice between buses and DRT, and separately, between taxis and DRT). Results The choice between buses and DRT is explained by moderation. The relationship between promotion focus and choice is moderated by risk perception whereas the relationship between prevention focus and choice is moderated by age. Specifically, the probability of choosing DRT is smaller for those saying DRT is riskier (relative to bus is riskier), and the effect gets stronger with increasing strength of promotion focus. Furthermore, the probability of choosing DRT increases with increasing strength of prevention focus for individuals older in age, but decreases with increasing strength of prevention focus for those younger in age. The choice between taxis and DRT is explained by mediated-moderation. The relationship between promotion focus and choice is moderated by age and mediated by risk perception. Specifically, the probability of saying that DRT is riskier than taxis decreases with increasing strength of promotion focus for individuals older in age. As a result, the probability of choosing DRT increases with increasing strength of promotion focus for older people. Moreover, the probability of saying that DRT is riskier than taxis increases with increasing strength of promotion focus for individuals younger in age. As a result, the probability of choosing DRT decreases with increasing strength of promotion focus for younger people. Implications for transport and health are discussed.

Dataset Information

Evaluation of passenger satisfaction of urban multi-mode public transport.

Publications

Evaluation of passenger satisfaction of urban multi-mode public transport.

Similar Datasets

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