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
type: article
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'