wow-inequalities/02-data/intermediate/wos_sample/2c2d7da06639284bec03d93f11cb8d0a-fransen-koos-and-bo/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'In no research domain has the application of accessibility been so vital
as in the area of linking disadvantaged individuals to job
opportunities. The inability to reach locations of employment and,
therefore, partake in paid labor is considered to have severe
consequences on an individual''s economic security and quality of life as
well as society''s general level of welfare. Unfortunately, existing
studies on job accessibility primarily apply aggregate measures that aim
to link the population group of active, employed workers to pre-existing
job locations. As a result, they fail to capture the person-specific
labor-market opportunities for those individuals who are actually
unemployed as well as the degree to which accessibility to opportunities
is related to actual employment rates. The proposed paper answers this
limitation by constructing a predictive model for long-term unemployment
for job seekers in Flanders, Belgium, dependent on their access by
private and public transport to job openings that correspond to their
individual preferences and competences. In addition to accessibility,
the predictive capacity was determined for various socio-demographics
such as age, gender, migration background, educational background and
preferred job type. The proposed regression model shows that job
accessibility is negatively related to long-term unemployment. In
addition, various inequities in long-term unemployment exist for the
selected case study. Especially job seekers with a migration background
and with higher age (55 years or older) have significantly higher
probabilities of remaining unemployed. A conditional inference
regression tree indicates that the most disadvantaged groups have a two
to three times higher probability of being long-term unemployed.
Moreover, higher accessibility levels prove to only benefit those who
already are in a more advantaged position. These findings have important
ramifications for policies focusing on improving employment rates, as
they allow to specifically address those areas of research where major
gains can be made.'
affiliation: 'Fransen, K (Corresponding Author), Univ Ghent, Dept Ind Engn, Ctr Mobil
\& Spatial Planning, Valentin Vaerwyckweg 1, B-9000 Ghent, Belgium.
Fransen, Koos; Deruyter, Greta, Univ Ghent, Dept Ind Engn, Ctr Mobil \& Spatial
Planning, Valentin Vaerwyckweg 1, B-9000 Ghent, Belgium.
Fransen, Koos; Deruyter, Greta; De Maeyer, Philippe, Univ Ghent, Dept Geog, Res
Grp Cartog \& GIS, Krijgslaan 281 S8, B-9000 Ghent, Belgium.
Boussauw, Kobe, Vrije Univ Brussel, Dept Geog, Cosmopolis Ctr Urban Res, Pl Laan
2,Room F4-55, B-1050 Brussels, Belgium.'
author: Fransen, Koos and Boussauw, Kobe and Deruyter, Greta and De Maeyer, Philippe
author-email: Koos.Fransen@UGent.be
author_list:
- family: Fransen
given: Koos
- family: Boussauw
given: Kobe
- family: Deruyter
given: Greta
- family: De Maeyer
given: Philippe
da: '2023-09-28'
doi: 10.1016/j.tra.2018.01.023
files: []
issn: 0965-8564
journal: TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
keywords: Unemployment; Job accessibility; Social equity; Transport disadvantage
keywords-plus: 'WELFARE-TO-WORK; TRAVEL BEHAVIOR; ACCESSIBILITY; EMPLOYMENT; OWNERSHIP;
LOCATION; CHOICES'
language: English
month: JUL
number-of-cited-references: '53'
orcid-numbers: 'Fransen, Koos/0000-0002-8331-1968
De Maeyer, Philippe A.M./0000-0001-8902-3855
Deruyter, Greta/0000-0002-7258-125X
Boussauw, Kobe/0000-0001-7619-2852'
pages: 268-279
papis_id: 14ac88e1af04d7f094b9caf727f10c09
ref: Fransen2019relationshiptranspor
researcherid-numbers: 'Fransen, Koos/AAL-3581-2020
Fransen, Koos/AAP-5177-2020
De Maeyer, Philippe A.M./F-2985-2011
Deruyter, Greta/C-6389-2015
'
times-cited: '12'
title: 'The relationship between transport disadvantage and employability: Predicting
long-term unemployment based on job seekers'' access to suitable job openings in
Flanders, Belgium'
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000474333300022
usage-count-last-180-days: '0'
usage-count-since-2013: '22'
volume: '125'
web-of-science-categories: Economics; Transportation; Transportation Science \& Technology
year: '2019'