A methodological exploration to determine transportation disadvantage variables: The partial least square approach

Determining the key variables of transportation disadvantage remains a great challenge as the variables are commonly selected using ad-hoc techniques. In order to identify the variables, this research develops a transportation disadvantage framework by manipulating the capability approach. Developed...

Full description

Bibliographic Details
Published in:World Review of Intermodal Transportation Research
Main Author: Rashid K.; Yigitcanlar T.
Format: Conference paper
Language:English
Published: Inderscience Publishers 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929240876&doi=10.1504%2fWRITR.2015.069223&partnerID=40&md5=2b01efc41e872a1e1fb711caeb08c72d
id 2-s2.0-84929240876
spelling 2-s2.0-84929240876
Rashid K.; Yigitcanlar T.
A methodological exploration to determine transportation disadvantage variables: The partial least square approach
2015
World Review of Intermodal Transportation Research
5
3
10.1504/WRITR.2015.069223
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929240876&doi=10.1504%2fWRITR.2015.069223&partnerID=40&md5=2b01efc41e872a1e1fb711caeb08c72d
Determining the key variables of transportation disadvantage remains a great challenge as the variables are commonly selected using ad-hoc techniques. In order to identify the variables, this research develops a transportation disadvantage framework by manipulating the capability approach. Developed framework is statistically analysed using partial least square-based software to determine the framework fitness. The statistical analysis identifies mobility and socioeconomic variables that significantly influence transportation disadvantage. The research reveals the key socioeconomic variables for transportation disadvantage in the case of Brisbane, Australia as household structure, presence of dependent family member, vehicle ownership, and driving licence possession. © 2015 Inderscience Enterprises Ltd.
Inderscience Publishers
17494729
English
Conference paper
All Open Access; Green Open Access
author Rashid K.; Yigitcanlar T.
spellingShingle Rashid K.; Yigitcanlar T.
A methodological exploration to determine transportation disadvantage variables: The partial least square approach
author_facet Rashid K.; Yigitcanlar T.
author_sort Rashid K.; Yigitcanlar T.
title A methodological exploration to determine transportation disadvantage variables: The partial least square approach
title_short A methodological exploration to determine transportation disadvantage variables: The partial least square approach
title_full A methodological exploration to determine transportation disadvantage variables: The partial least square approach
title_fullStr A methodological exploration to determine transportation disadvantage variables: The partial least square approach
title_full_unstemmed A methodological exploration to determine transportation disadvantage variables: The partial least square approach
title_sort A methodological exploration to determine transportation disadvantage variables: The partial least square approach
publishDate 2015
container_title World Review of Intermodal Transportation Research
container_volume 5
container_issue 3
doi_str_mv 10.1504/WRITR.2015.069223
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929240876&doi=10.1504%2fWRITR.2015.069223&partnerID=40&md5=2b01efc41e872a1e1fb711caeb08c72d
description Determining the key variables of transportation disadvantage remains a great challenge as the variables are commonly selected using ad-hoc techniques. In order to identify the variables, this research develops a transportation disadvantage framework by manipulating the capability approach. Developed framework is statistically analysed using partial least square-based software to determine the framework fitness. The statistical analysis identifies mobility and socioeconomic variables that significantly influence transportation disadvantage. The research reveals the key socioeconomic variables for transportation disadvantage in the case of Brisbane, Australia as household structure, presence of dependent family member, vehicle ownership, and driving licence possession. © 2015 Inderscience Enterprises Ltd.
publisher Inderscience Publishers
issn 17494729
language English
format Conference paper
accesstype All Open Access; Green Open Access
record_format scopus
collection Scopus
_version_ 1809677787885207552