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