Analysis of user satisfaction to promote public transportation: A pattern-recognition approach focusing on out-of-vehicle time

Sung Hoo Kim, Jin-Hyuk Chung, Sunyoung Park, Keechoo Choi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Public transportation has been regarded as one of the most sustainable forms of transport, because of which local governments have put efforts in increasing the mode share of public transportation. Recently, not only level of service but also user satisfaction has been focused on for the assessment of transport policy; however, several points have been overlooked in previous research, such as attribute-based satisfaction, the relationship between level of service and satisfaction, and user expectation. This paper deals with these issues while assuming the heterogeneity of satisfaction, which is an indicator of perception. Out-of-vehicle times, particularly headway and access time, were selected in the analysis because they can affect travel behavior of current and potential public transportation customers. In this analysis, pattern-recognition models were applied, and public transportation users were segmented in terms of perception. The results suggest several notable recommendations for public transport policies and investigations.

Original languageEnglish
Pages (from-to)582-592
Number of pages11
JournalInternational Journal of Sustainable Transportation
Volume11
Issue number8
DOIs
Publication statusPublished - 2017 Sep 14

Fingerprint

pattern recognition
public transportation
Pattern recognition
travel behavior
public transport
local government
customer
time
public
analysis
vehicle
policy
services

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Transportation

Cite this

@article{a7289c7ebd5648cfb6ac79b67a5e9eef,
title = "Analysis of user satisfaction to promote public transportation: A pattern-recognition approach focusing on out-of-vehicle time",
abstract = "Public transportation has been regarded as one of the most sustainable forms of transport, because of which local governments have put efforts in increasing the mode share of public transportation. Recently, not only level of service but also user satisfaction has been focused on for the assessment of transport policy; however, several points have been overlooked in previous research, such as attribute-based satisfaction, the relationship between level of service and satisfaction, and user expectation. This paper deals with these issues while assuming the heterogeneity of satisfaction, which is an indicator of perception. Out-of-vehicle times, particularly headway and access time, were selected in the analysis because they can affect travel behavior of current and potential public transportation customers. In this analysis, pattern-recognition models were applied, and public transportation users were segmented in terms of perception. The results suggest several notable recommendations for public transport policies and investigations.",
author = "Kim, {Sung Hoo} and Jin-Hyuk Chung and Sunyoung Park and Keechoo Choi",
year = "2017",
month = "9",
day = "14",
doi = "10.1080/15568318.2017.1280715",
language = "English",
volume = "11",
pages = "582--592",
journal = "International Journal of Sustainable Transportation",
issn = "1556-8318",
publisher = "Taylor and Francis Ltd.",
number = "8",

}

Analysis of user satisfaction to promote public transportation : A pattern-recognition approach focusing on out-of-vehicle time. / Kim, Sung Hoo; Chung, Jin-Hyuk; Park, Sunyoung; Choi, Keechoo.

In: International Journal of Sustainable Transportation, Vol. 11, No. 8, 14.09.2017, p. 582-592.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analysis of user satisfaction to promote public transportation

T2 - A pattern-recognition approach focusing on out-of-vehicle time

AU - Kim, Sung Hoo

AU - Chung, Jin-Hyuk

AU - Park, Sunyoung

AU - Choi, Keechoo

PY - 2017/9/14

Y1 - 2017/9/14

N2 - Public transportation has been regarded as one of the most sustainable forms of transport, because of which local governments have put efforts in increasing the mode share of public transportation. Recently, not only level of service but also user satisfaction has been focused on for the assessment of transport policy; however, several points have been overlooked in previous research, such as attribute-based satisfaction, the relationship between level of service and satisfaction, and user expectation. This paper deals with these issues while assuming the heterogeneity of satisfaction, which is an indicator of perception. Out-of-vehicle times, particularly headway and access time, were selected in the analysis because they can affect travel behavior of current and potential public transportation customers. In this analysis, pattern-recognition models were applied, and public transportation users were segmented in terms of perception. The results suggest several notable recommendations for public transport policies and investigations.

AB - Public transportation has been regarded as one of the most sustainable forms of transport, because of which local governments have put efforts in increasing the mode share of public transportation. Recently, not only level of service but also user satisfaction has been focused on for the assessment of transport policy; however, several points have been overlooked in previous research, such as attribute-based satisfaction, the relationship between level of service and satisfaction, and user expectation. This paper deals with these issues while assuming the heterogeneity of satisfaction, which is an indicator of perception. Out-of-vehicle times, particularly headway and access time, were selected in the analysis because they can affect travel behavior of current and potential public transportation customers. In this analysis, pattern-recognition models were applied, and public transportation users were segmented in terms of perception. The results suggest several notable recommendations for public transport policies and investigations.

UR - http://www.scopus.com/inward/record.url?scp=85018986212&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018986212&partnerID=8YFLogxK

U2 - 10.1080/15568318.2017.1280715

DO - 10.1080/15568318.2017.1280715

M3 - Article

AN - SCOPUS:85018986212

VL - 11

SP - 582

EP - 592

JO - International Journal of Sustainable Transportation

JF - International Journal of Sustainable Transportation

SN - 1556-8318

IS - 8

ER -