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...
Published in: | World Review of Intermodal Transportation Research |
---|---|
Main Author: | |
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 |