SDSS 2023: Session 7: The Use of Granular Spatial Data to Examine Geospatial Mobility in Social S...
Channel: Spatial Data Science Symposium
Date: 2023-09-20

Recorded during the Spatial Data Science Symposium (SDSS 2023), September 5-6, 2023, distributed & online

Session 7: The Use of Granular Spatial Data to Examine Geospatial Mobility in Social Science Research
September 6

More information at https://nbrazil.faculty.ucdavis.edu/sds-panel/
Symposium website: http://sdss2023.spatial-data-science.net/

Organizers: 
Noli Brazil (Department of Human Ecology, University of California, Davis)
Jennifer Candipan (Department of Sociology, Brown University)

0:00 Introduction
1:06 Brian Levy, Concentrated Disadvantage, Isolated Affluence: How Neighborhood Mobility Networks Compound Residential Segregation by Socioeconomic Status
15:58 Joel Han, Gasoline Prices and Income Disparities in Visit Patterns
29:10 Jonathan Tollefson, The environmental dimensions of urban inequality, 1880-1930
other (not shown)

Session Abstract:
Human mobility, including physical travel of people and goods and virtual transactions of information, plays a significant role in (re)distributing uneven resources in cities and (re)organizing urban demographic, social and economic structures. The recent explosion in the availability of granular spatial data has made it possible to capture movement across space at very refined spatiotemporal levels for a large sample of cities across the world. This has allowed researchers to expand our understanding of social processes that are inherently linked to human mobility, including disease transmission, accessibility to amenities and resources, segregation dynamics, and exposure to environmental hazards, beyond what has been discovered using traditional forms of data. This panel discusses the use of granular spatial data in studying geospatial mobility, focusing on its application in social science research, types, sources and methods, and its theoretical and methodological advantages and limitations.