Add wos sample results library

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

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+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
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+  a workable practical method to synthesize disaggregated work trip flows.
+
+  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
+
+  using LEHD data for the Wichita, Kansas metropolitan statistical area.
+
+  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
+
+  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'
+type: Article
+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'