What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul

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...

Full description

Bibliographic Details
Main Authors: Sujae Kim, Sangho Choo, Sungtaek Choi, Hyangsook Lee
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/16/9324
id doaj-a89ff4170b8e47ff8776da666a9e3594
record_format Article
spelling doaj-a89ff4170b8e47ff8776da666a9e35942021-08-26T14:22:52ZengMDPI AGSustainability2071-10502021-08-01139324932410.3390/su13169324What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from SeoulSujae Kim0Sangho Choo1Sungtaek Choi2Hyangsook Lee3Department of Urban Planning, Hongik University, Seoul 04066, KoreaDepartment of Urban Design & Planning, Hongik University, Seoul 04066, KoreaDepartment of Metropolitan Transport, The Korea Transport Institute, Sejong 30147, KoreaGraduate School of Logistics, Incheon National University, Incheon 22012, KoreaMobility 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.https://www.mdpi.com/2071-1050/13/16/9324Mobility as a Service (MaaS)shared transportationmode choicecommuterslatent class model
collection DOAJ
language English
format Article
sources DOAJ
author Sujae Kim
Sangho Choo
Sungtaek Choi
Hyangsook Lee
spellingShingle Sujae Kim
Sangho Choo
Sungtaek Choi
Hyangsook Lee
What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
Sustainability
Mobility as a Service (MaaS)
shared transportation
mode choice
commuters
latent class model
author_facet Sujae Kim
Sangho Choo
Sungtaek Choi
Hyangsook Lee
author_sort Sujae Kim
title What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
title_short What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
title_full What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
title_fullStr What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
title_full_unstemmed What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul
title_sort what factors affect commuters’ utility of choosing mobility as a service? an empirical evidence from seoul
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description 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.
topic Mobility as a Service (MaaS)
shared transportation
mode choice
commuters
latent class model
url https://www.mdpi.com/2071-1050/13/16/9324
work_keys_str_mv AT sujaekim whatfactorsaffectcommutersutilityofchoosingmobilityasaserviceanempiricalevidencefromseoul
AT sanghochoo whatfactorsaffectcommutersutilityofchoosingmobilityasaserviceanempiricalevidencefromseoul
AT sungtaekchoi whatfactorsaffectcommutersutilityofchoosingmobilityasaserviceanempiricalevidencefromseoul
AT hyangsooklee whatfactorsaffectcommutersutilityofchoosingmobilityasaserviceanempiricalevidencefromseoul
_version_ 1721189737112272896