Investigating commuters’ satisfaction with public transit: A latent class modeling approach

Choi, Sungtaek; Ko, Joonho; Kim, Daejin

doi:10.1016/j.trd.2021.103015

Cited by 20 publications

(5 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As reviewed by Ettema et al (2016), many studies report that transit riders have lower levels of travel satisfaction compared with other mode users. Choi et al (2021), however, found that most transit users are satisfied with their commute based on the evidence from Seoul, South Korea. They also found that bus users are more satisfied with their commute than subway users.…”

Section: • New Methods In Travel Satisfaction Researchmentioning

confidence: 99%

“…Moreover, two studies utilized latent class models to examine the heterogeneity in the correlates of travel satisfaction among different population groups. In particular, Choi et al (2021) found that commute satisfaction is heterogeneous among people with different attitudes toward commuting. Yuan et al (2021) found that reliability, ticket service, operation schedule, and connectivity of integrated air-rail services affect satisfaction of all intermodal passengers, while the key correlates of satisfaction varies among different passenger groups.…”

Section: • New Methods In Travel Satisfaction Researchmentioning

confidence: 99%

See 1 more Smart Citation

New insights in travel satisfaction research

Vos

2022

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

Section: • New Methods In Travel Satisfaction Researchmentioning

confidence: 99%

Section: • New Methods In Travel Satisfaction Researchmentioning

confidence: 99%

New insights in travel satisfaction research

Vos

2022

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

“…Compared to the mixed logit models, which assume parameters following continuous distribution, the latent class models are less fexible than the mixed logit model [12], and it is useful in marketing analysis where group classifcation is required. Te reason for this is that each group's individual can be identifed without any assumptions, and it is widely used in various transportation planning felds [13][14][15][16]. Latent class analysis has also been in some recent studies on public transit services based on ADT [7,17].…”

Section: Methodsmentioning

confidence: 99%

Automated Mobility-on-Demand Service Improvement Strategy through Latent Class Analysis of Stated Preference Survey

Yun

Lee

Kim

2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Automated driving technologies have advanced remarkably and are expected to be a part of our lives soon. Because automated driving technology does not require a driver, a significant change in future mobility services is expected. Automated driving technology is closely related to the development of public transit services as it can significantly reduce driver labor costs and provide a more comfortable in-vehicle environment. In particular, the preference for automated mobility-on-demand services that can respond in real time to the dynamic demand through automated driving technology is growing. Previous studies have compared passengers’ preferences for automated mobility-on-demand services and other transportation modes and proposed a way to enable more passengers to use automated mobility-on-demand services. However, as the number of pilot operations increases, future research will focus on ways to improve competitiveness among automated mobility-on-demand services. This study conducts a passenger preference survey based on the characteristics of automated mobility-on-demand services. In particular, changes in the in-vehicle environment and seat selection system, which differ from existing mobility-on-demand services due to automated driving technology, are investigated. The latent class modeling approach is used to classify passengers based on stated preference data collected from the survey. The estimation results show that vehicle type and seat choice system have a significant impact on passengers’ preference for automated mobility-on-demand services. In addition, considering that a high percentage of passengers do not prefer to improve autonomy in seat reservation and the in-vehicle environment, this study suggests that cost-consuming service improvement strategies are not always appropriate.

show abstract

“…Recent LCM studies on public transport preferences are investigating and analyzing various information. In addition to basic traffic information such as travel time, fare, walking time, and number of transfers [29,30], real-time information provision [31] and attitudinal factors of users [32,33] are often investigated in surveys. By contrast, this study focused on reducing confusion among respondents with a simple design because the target group consists of individuals aged 65 or older.…”

Section: Latent Class Model Configurationmentioning

confidence: 99%

Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes

Yun

2023

Preprint

View full text Add to dashboard Cite

Considering the aging society and budget constraints, a strategy for reforming public transportation welfare policies is essential for sustainability. Among the various transportation welfare policies, fare discount policies are provided to specific age groups, and most countries offer benefits to several public transportation. South Korea provides a fare-free policy limited to subways, and the need for policy modification is emerging due to sustainability problems caused by an aging society. Hence, the scope of the policy should be expanded to all travel modes, but the discount rate should be reduced, or the target group should be reduced in consideration of the budget. This study proposes a travel mode to focus on by city through the preference of the elderly. The latent class model is employed to classfy stated preference data collected from the survey. The estimation results show a significant preference heterogeneity depending on the level of subway supply by region, and a policy focused on subways would be more reasonable in cities with sufficient subway infrastructure. Hence, regarding sustainability, it may be more appropriate to focus on specific means than to provide the same discount policy for all public transport.

show abstract

Investigating commuters’ satisfaction with public transit: A latent class modeling approach

Cited by 20 publications

References 52 publications

New insights in travel satisfaction research

New insights in travel satisfaction research

Automated Mobility-on-Demand Service Improvement Strategy through Latent Class Analysis of Stated Preference Survey

Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes

Contact Info

Product

Resources

About