Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication12th International Conference on Geographic Information Science, GIScience 2023
EditorsRoger Beecham, Jed A. Long, Dianna Smith, Qunshan Zhao, Sarah Wise
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772884
DOIs
StatePublished - Sep 2023
Event12th International Conference on Geographic Information Science, GIScience 2023 - Leeds, United Kingdom
Duration: Sep 12 2023Sep 15 2023

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume277
ISSN (Print)1868-8969

Conference

Conference12th International Conference on Geographic Information Science, GIScience 2023
Country/TerritoryUnited Kingdom
CityLeeds
Period9/12/239/15/23

Keywords

  • Spatial accessibility
  • alpha shape
  • convex hull
  • cyberGIS
  • social vulnerability

ASJC Scopus subject areas

  • Software

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