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Understanding neighborhood isolation through spatial interaction network analysis using location big data

Author

Listed:
  • Timothy Prestby

    (Geospatial Data Science Lab, Department of Geography, University of Wisconsin–Madison, Madison, USA)

  • Joseph App

    (Geospatial Data Science Lab, Department of Geography, University of Wisconsin–Madison, Madison, USA)

  • Yuhao Kang

    (Geospatial Data Science Lab, Department of Geography, University of Wisconsin–Madison, Madison, USA)

  • Song Gao

    (Geospatial Data Science Lab, Department of Geography, University of Wisconsin–Madison, Madison, USA)

Abstract

Hidden biases of racial and socioeconomic preferences shape residential neighborhoods throughout the USA. Thereby, these preferences shape neighborhoods composed predominantly of a particular race or income class. However, the assessment of spatial extent and the degree of isolation outside the residential neighborhoods at large scale is challenging, which requires further investigation to understand and identify the magnitude and underlying geospatial processes. With the ubiquitous availability of location-based services, large-scale individual-level location data have been widely collected using numerous mobile phone applications and enable the study of neighborhood isolation at large scale. In this research, we analyze large-scale anonymized smartphone users’ mobility data in Milwaukee, Wisconsin, to understand neighborhood-to-neighborhood spatial interaction patterns of different racial classes. Several isolated neighborhoods are successfully identified through the mobility-based spatial interaction network analysis.

Suggested Citation

  • Timothy Prestby & Joseph App & Yuhao Kang & Song Gao, 2020. "Understanding neighborhood isolation through spatial interaction network analysis using location big data," Environment and Planning A, , vol. 52(6), pages 1027-1031, September.
    • Handle: RePEc:sae:envira:v:52:y:2020:i:6:p:1027-1031
    DOI: 10.1177/0308518X19891911
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    References listed on IDEAS

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    1. Wilson, William Julius, 2012. "The Truly Disadvantaged," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226901268, April.
    2. Acevedo-Garcia, D. & Lochner, K.A. & Osypuk, T.L. & Subramanian, S.V., 2003. "Future directions in residential segregation and health research: A multilevel approach," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 215-221.
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    1. Filiberto Toledano-Toledano & José Moral de la Rubia & René Reyes Frometa & Fabiola González Betanzos & Laura Villavicencio Guzmán & Marcela Salazar García, 2020. "The Social Support Networks Scale (SSNS) for Family Caregivers of Children with Cancer: A Psychometric Evaluation," IJERPH, MDPI, vol. 17(21), pages 1-21, October.
    2. Till Baldenius & Nicolas Koch & Hannah Klauber & Nadja Klein, 2023. "Heat increases experienced racial segregation in the United States," Papers 2306.13772, arXiv.org.

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