wow-inequalities/02-data/intermediate/wos_sample/e6a0110fd5860e1e1260976bd2dd534e-chen-na-and-akar-g/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'This paper examines the relationships between socio-demographic
characteristics, travel time, the built environment and resulting
average activity spaces for all activities and non-work activities
separately using data from the 2012 Northeast Ohio Regional Travel
Survey. Multiple regression models are developed to analyze these
relationships at individual level. First K-means cluster analysis is
conducted to create seven neighborhood types based on five built
environment variables. These new neighborhood types are used as discrete
explanatory variables to explain average activity spaces, while
controlling for travel time, individual and household features, access
to transit facilities and the job-population balance. The modeling
results indicate that residential location characteristics have
significant influences on activity spaces. People living in places away
from suburban and rural areas and with a high mix of population and
employment tend to have smaller activity spaces. Moreover, this study
finds out that while the effects of some explanatory variables (such as
age and gender) vary for all activities and non-work activities,
socially disadvantaged people (such as the elderly and low income
households) generally experience smaller activity spaces. (C) 2016
Elsevier Ltd. All rights reserved.'
affiliation: 'Akar, G (Corresponding Author), Ohio State Univ, Knowlton Sch Architecture,
City \& Reg Planning, 275 West Woodruff Ave, Columbus, OH 43210 USA.
Chen, Na; Akar, Gulsah, Ohio State Univ, Knowlton Sch Architecture, City \& Reg
Planning, 275 West Woodruff Ave, Columbus, OH 43210 USA.'
author: Chen, Na and Akar, Gulsah
author-email: 'chen.2572@osu.edu
akar.3@osu.edu'
author_list:
- family: Chen
given: Na
- family: Akar
given: Gulsah
da: '2023-09-28'
doi: 10.1016/j.jtrangeo.2016.05.017
eissn: 1873-1236
files: []
issn: 0966-6923
journal: JOURNAL OF TRANSPORT GEOGRAPHY
keywords: 'Activity space; Non-work activity space; Neighborhood types; Cluster
analysis'
keywords-plus: 'TRAVEL BEHAVIOR; BUILT ENVIRONMENT; LAND-USE; DENSITY; PARTICIPATION;
ACCESSIBILITY; POLICY; TIME'
language: English
month: JUN
number-of-cited-references: '47'
orcid-numbers: Akar, Gulsah/0000-0003-4764-0913
pages: 112-121
papis_id: 29a02e4be1f5136c10e8e9dfd8f287f6
ref: Chen2016effectsneighborhood
researcherid-numbers: 'Akar, Gulsah/HHS-7244-2022
Akar, Gulsah/B-3716-2012'
times-cited: '26'
title: Effects of neighborhood types & socio-demographics on activity space
2023-10-01 08:15:07 +00:00
type: article
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unique-id: WOS:000382344800011
usage-count-last-180-days: '2'
usage-count-since-2013: '38'
volume: '54'
web-of-science-categories: Economics; Geography; Transportation
year: '2016'