2021
Yuan, Y.; Yang, M.; Feng, T.; Rasouli, S.; Ruan, X.; Wang, X.; Li, Y.
Analyzing heterogeneity in passenger satisfaction, loyalty, and complaints with air-rail integrated services Journal Article
In: Transportation Research Part D: Transport and Environment, vol. 97, 2021, ISSN: 13619209.
Abstract | Links | BibTeX | Tags: Air-rail integrated services, Heterogeneity, Latent class clustering, Multi-group analysis, Passenger loyalty, Passenger satisfaction
@article{Yuan2021,
title = {Analyzing heterogeneity in passenger satisfaction, loyalty, and complaints with air-rail integrated services},
author = {Y. Yuan and M. Yang and T. Feng and S. Rasouli and X. Ruan and X. Wang and Y. Li},
doi = {10.1016/j.trd.2021.102950},
issn = {13619209},
year = {2021},
date = {2021-01-01},
journal = {Transportation Research Part D: Transport and Environment},
volume = {97},
abstract = {To increase the understanding of passenger choice of air-rail integrated services (ARIS), the present paper a) analyzes the profile of intermodal passengers by classifying them based on their socioeconomic and travel characteristics and (b) uncovers any heterogeneity in passenger satisfaction with ARIS among different passenger groups. Through collecting 1,345 passenger satisfaction questionnaires about ARIS, surveyed in Shijiazhuang, China, we first apply latent class clustering to classify passengers into three groups. Then, the key factors affecting passenger satisfaction and its subsequent effect on loyalty and complaints are identified using a partial least squares structural equation model. Finally, path heterogeneities in different passenger groups are explored using a multi-group analysis. The results show that the three passenger groups attach similar importance to ticket services, reliability, accessibility and comfort, while some noticeable differences in perception are identified in personalized services, information services, and connectivity.},
keywords = {Air-rail integrated services, Heterogeneity, Latent class clustering, Multi-group analysis, Passenger loyalty, Passenger satisfaction},
pubstate = {published},
tppubtype = {article}
}
To increase the understanding of passenger choice of air-rail integrated services (ARIS), the present paper a) analyzes the profile of intermodal passengers by classifying them based on their socioeconomic and travel characteristics and (b) uncovers any heterogeneity in passenger satisfaction with ARIS among different passenger groups. Through collecting 1,345 passenger satisfaction questionnaires about ARIS, surveyed in Shijiazhuang, China, we first apply latent class clustering to classify passengers into three groups. Then, the key factors affecting passenger satisfaction and its subsequent effect on loyalty and complaints are identified using a partial least squares structural equation model. Finally, path heterogeneities in different passenger groups are explored using a multi-group analysis. The results show that the three passenger groups attach similar importance to ticket services, reliability, accessibility and comfort, while some noticeable differences in perception are identified in personalized services, information services, and connectivity.