Customized decision-making support per location's characteristics of spatial accessibility: A case study of emergency healthcare in New York City
• Locations can be classified based on the different characteristics (the combination of temporal changes and different levels) of their accessibility. • These clusters can identify diverse needs across locations to effectively reduce access inequality. • Our work can facilitate the optimal resource allocation and support customized and flexible policy responses.
Authors
- S Wang
- Alexander Michels (ORCID: https://orcid.org/0000-0002-7357-5206)
- Fangzheng Lyu (ORCID: https://orcid.org/0000-0001-5180-0380)
- Ian Zhang
- Jinwoo Park
Institutions
- University of Illinois Urbana-Champaign (US)
- The University of Texas at Dallas (US)
- Kyung Hee University (KR)
- Virginia Tech (US)
Publication Details
- Journal
- Computers Environment and Urban Systems
- Published
- 2026-05-23
- DOI
- https://doi.org/10.1016/j.compenvurbsys.2026.102458
- Primary Topic
- Urban Transport and Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation