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What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
- Source :
- Sustainability, Vol 13, Iss 9324, p 9324 (2021), Sustainability, Volume 13, Issue 16
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Mobility as a Service (MaaS), which integrates public and shared transportation into a single service, is drawing attention as a travel demand management strategy aimed at reducing automobile dependency and encouraging public transit. In particular, there have been few studies that recognize traffic congestion during peak hours and identify related factors for practical application. The purpose of this study is to explore what factors affect Seoul commuters’ mode choice including MaaS. A web-based survey that 161 commuters participated in was conducted to collect information about personal, household, and travel attributes, together with their mode preference for MaaS. A latent class model was developed to classify unobserved latent groups based on trip frequency by means and to identify factors influencing mode-specific utilities (in particular, MaaS service) for each class. The result shows that latent classes are divided into two groups (public transit-oriented commuters and balanced mode commuters). Most variables have significant impacts on choice for MaaS. The coefficient of MaaS choice of Class 1 and Class 2 were different. These findings suggest there is a difference between the classes according to trip frequency by means as an influencing factor in MaaS choice.
- Subjects :
- Demand management
Geography, Planning and Development
TJ807-830
commuters
Management, Monitoring, Policy and Law
TD194-195
shared transportation
Renewable energy sources
Transport engineering
Automobile dependency
GE1-350
Mode choice
Service (business)
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
business.industry
Preference
Latent class model
mode choice
Environmental sciences
Traffic congestion
Public transport
business
Psychology
Mobility as a Service (MaaS)
latent class model
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 13
- Issue :
- 9324
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....52a9d2ff277dde9a78a16fc83a75f2d2