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Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility (Short Paper)

Authors Alexander Michels , Jinwoo Park , Bo Li, Jeon-Young Kang , Shaowen Wang



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Author Details

Alexander Michels
  • CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois Urbana-Champaign, IL, USA
Jinwoo Park
  • CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois Urbana-Champaign, IL, USA
Bo Li
  • Department of Statistics, University of Illinois Urbana-Champaign, IL, USA
Jeon-Young Kang
  • Department of Geography, Kyung Hee University, Dongdaemun-gu, Seoul, South Korea
Shaowen Wang
  • CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois Urbana-Champaign, IL, USA

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Alexander Michels, Jinwoo Park, Bo Li, Jeon-Young Kang, and Shaowen Wang. Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 52:1-52:6, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.52

Abstract

Spatial accessibility is a powerful tool for understanding how access to important services and resources varies across space. While spatial accessibility methods traditionally rely on origin-destination matrices between centroids of administrative zones, recent work has examined creating polygonal catchments - areas within a travel-time threshold - from point-based fine-grained mobility data. In this paper, we investigate the difference between the convex hull and alpha shape algorithms for determining catchment areas and how this affects the results of spatial accessibility analyses. Our analysis shows that the choice of how we define a catchment produces differences in the measured accessibility which correlate with social vulnerability. These findings highlight the importance of evaluating and communicating minor methodological choices in spatial accessibility analyses.

Subject Classification

ACM Subject Classification
  • Applied computing → Earth and atmospheric sciences
  • Applied computing → Health informatics
  • Applied computing → Transportation
Keywords
  • Spatial accessibility
  • alpha shape
  • convex hull
  • cyberGIS
  • social vulnerability

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References

  1. Nataraj Akkiraju, Herbert Edelsbrunner, Michael Facello, Ping Fu, EP Mucke, and Carlos Varela. Alpha shapes: definition and software. In Proceedings of the 1st international computational geometry software workshop, volume 63, 1995. Google Scholar
  2. Ken Bellock, Neil Godber, and Philip Kahn. bellockk/alphashape: v1.3.1 Release, April 2021. Google Scholar
  3. Geoff Boeing. OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65:126-139, 2017. Google Scholar
  4. Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index 2018 Database US, 2018. Google Scholar
  5. Mark de Berg, Otfried Cheong, Marc van Kreveld, and Mark Overmars, editors. Computational Geometry: Algorithms and Applications. Springer, Berlin, Heidelberg, 2008. Google Scholar
  6. H. Edelsbrunner, D. Kirkpatrick, and R. Seidel. On the shape of a set of points in the plane. IEEE Transactions on Information Theory, 29(4):551-559, July 1983. Google Scholar
  7. Amin Gharebaghi and Mir Abolfazl Mostafavi. Space-Time Representation of Accessible Areas for Wheelchair Users in Urban Areas (Short Paper). In Stephan Winter, Amy Griffin, and Monika Sester, editors, 10th International Conference on Geographic Information Science (GIScience 2018), volume 114 of Leibniz International Proceedings in Informatics (LIPIcs), pages 28:1-28:6, Dagstuhl, Germany, 2018. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. Google Scholar
  8. Yingjie Hu and Jimin Wang. How Do People Describe Locations During a Natural Disaster: An Analysis of Tweets from Hurricane Harvey. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I, volume 177 of Leibniz International Proceedings in Informatics (LIPIcs), pages 6:1-6:16, Dagstuhl, Germany, 2020. Google Scholar
  9. W. Jiao, H. Fan, and Y. Wang. Analyzing the Spatiotemporal Patterns of Emergency Medical Travels from FCD Data. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, volume V-3-2020, pages 751-756. Copernicus GmbH, August 2020. URL: https://doi.org/10.5194/isprs-annals-V-3-2020-751-2020.
  10. Wei Jiao, Wei Huang, and Hongchao Fan. Evaluating spatial accessibility to healthcare services from the lens of emergency hospital visits based on floating car data. International Journal of Digital Earth, 15(1):108-133, December 2022. URL: https://doi.org/10.1080/17538947.2021.2014578.
  11. Jeon-Young Kang, Bita Fayaz Farkhad, Man-pui Sally Chan, Alexander Michels, Dolores Albarracin, and Shaowen Wang. Spatial accessibility to HIV testing, treatment, and prevention services in Illinois and Chicago, USA. PLOS ONE, 17(7):e0270404, July 2022. Google Scholar
  12. Jeon-Young Kang, Alexander C Michels, Fangzheng Lyu, Shaohua Wang, Nelson Agbodo, Vincent L Freeman, and Shaowen Wang. Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA. International Journal of Health Geographics, 2020. URL: https://doi.org/10.1186/s12942-020-00229-x.
  13. Wei Luo and Yi Qi. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians. Health & Place, 15(4):1100-1107, December 2009. URL: https://doi.org/10.1016/j.healthplace.2009.06.002.
  14. Jinwoo Park and Daniel W. Goldberg. An Examination of the Stochastic Distribution of Spatial Accessibility to Intensive Care Unit Beds during the COVID-19 Pandemic: A Case Study of the Greater Houston Area of Texas. Geographical Analysis, July 2022. URL: https://doi.org/10.1111/gean.12340.
  15. Jinwoo Park, Alexander Michels, Fangzheng Lyu, Su Yeon Han, and Shaowen Wang. Daily changes in spatial accessibility to ICU beds and their relationship with the case-fatality ratio of COVID-19 in the state of Texas, USA. Applied Geography, page 102929, March 2023. Google Scholar
  16. Michael Sinclair, Qunshan Zhao, Nick Bailey, Saeed Maadi, and Jinhyun Hong. Understanding the use of greenspace before and during the COVID-19 pandemic by using mobile phone app data. In GIScience 2021, September 2021. URL: https://doi.org/10.25436/E2D59P.
  17. Shaowen Wang. A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis. Annals of the Association of American Geographers, 100(3):535-557, June 2010. URL: https://doi.org/10.1080/00045601003791243.
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