wow-inequalities/02-data/intermediate/wos_sample/2abf9b18469c914b37c3beda09876dde-niedzielski-michael/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Rising economic segregation suggests a need to examine constraints to
job access by race/ethnicity and economic inequality simultaneously.
This often requires detailed socio-spatial interaction data to make
progress on theoretical and modeling development, empirical studies and
policy insights. Commuting data are commonly used because of its wide
availability. Despite excellent work trip datasets from the U.S. Census
such as the Census Transportation Planning Package and the Longitudinal
Employer-Household Dynamics (LEHD) data, there are often gaps between
the data that are available and ideal detailed commuting data suited to
models and data analysis. This is because commuting data are available
for a limited set of socio-economic dimensions and this coarseness
limits researchers in their ability to uncover nuances of place-based
generalizations about commuting, either socially or spatially. In one
promising approach, an information minimizing technique was proposed as
a workable practical method to synthesize disaggregated work trip flows.
Because the strength of fit between predicted and observed trips is
unknown, this paper validates this method using real commutes
disaggregated by income and then synthesizes race-income work trips
using LEHD data for the Wichita, Kansas metropolitan statistical area.
We find that low-income Whites travel longer distances and have more
dispersed travel patterns than all African-American and Asian income
groups and that both low- and middle-income groups of all race groups
have spatially constrained flows. (C) 2015 Elsevier Ltd. All rights
reserved.'
affiliation: 'Niedzielski, MA (Corresponding Author), Univ N Dakota, Dept Geog \&
Geog Informat Sci, 221 Centennial Dr Stop 9020, Grand Forks, ND 58202 USA.
Niedzielski, Michael A., Univ N Dakota, Dept Geog \& Geog Informat Sci, Grand Forks,
ND 58202 USA.
O''Kelly, Morton E., Ohio State Univ, Dept Geog, Columbus, OH 43210 USA.
Boschmann, E. Eric, Univ Denver, Dept Geog \& Environm, Denver, CO 80208 USA.'
author: Niedzielski, Michael A. and O'Kelly, Morton E. and Boschmann, E. Eric
author-email: 'michael.niedzielski@und.edu
okelly.1@osu.edu
eric.boschmann@du.edu'
author_list:
- family: Niedzielski
given: Michael A.
- family: O'Kelly
given: Morton E.
- family: Boschmann
given: E. Eric
da: '2023-09-28'
doi: 10.1016/j.compenvurbsys.2015.09.004
eissn: 1873-7587
files: []
issn: 0198-9715
journal: COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
keywords: 'Commuting; Spatial interaction; Accessibility; Disaggregated; Race;
Income'
keywords-plus: 'JOB ACCESS; COMMUTING PATTERNS; INTERACTION-MODELS; ACCESSIBILITY;
WORK;
TIME; EMPLOYMENT; JOURNEY; TRAVEL; SEGREGATION'
language: English
month: NOV
number-of-cited-references: '44'
orcid-numbers: 'O''Kelly, Morton/0000-0002-8967-9771
Niedzielski, Michal/0000-0001-6639-1057
Boschmann, Eric/0000-0003-1419-4339'
pages: 204-218
papis_id: 6d3b9e23ccd8649d2dc56e5c38688c9e
ref: Niedzielski2015synthesizingspatial
times-cited: '24'
title: 'Synthesizing spatial interaction data for social science research: Validation
and an investigation of spatial mismatch in Wichita, Kansas'
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000368306700018
usage-count-last-180-days: '0'
usage-count-since-2013: '25'
volume: '54'
web-of-science-categories: 'Computer Science, Interdisciplinary Applications; Engineering,
Environmental; Environmental Studies; Geography; Operations Research \&
Management Science; Regional \& Urban Planning'
year: '2015'