Hourly Emergency Healthcare Accessibility in New York City Census Tracts

A geospatial dataset measuring hourly changes in spatial accessibility to emergency healthcare resources in New York City using a Gaussian two-step floating catchment area method. The data was created by Jinwoo Park and last updated on May 29, 2026. It includes results from a sequence analysis that clustered census tracts into 14 groups based on temporal changes and accessibility levels.

Use Cases

• Modeling dynamic urban phenomena like traffic congestion and floating population based on hourly accessibility changes.
• Clustering geographic areas for targeted policy interventions based on combinations of temporal patterns and accessibility levels.
• Informing decisions on extending operating hours or establishing new hospitals based on location-specific accessibility needs.
• Analyzing inequality in emergency healthcare access by incorporating a temporal dimension into spatial measurements.

Strengths

• Dataset size is 381.7 MB, indicating a medium-scale analysis.
• Applies a specific methodological approach: the Gaussian two-step floating catchment area (G2SFCA) method.
• Results include a clustering of census tracts into 14 distinct groups.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to the case study of New York City.

Provenance

Source

Jinwoo Park via figshare

Collection Method

Likely derived from time-dependent urban data and analyzed with G2SFCA and sequence analysis methods.

Freshness

Last updated 2026-05-29 10:22:24; freshness should be verified.

Geography

New York City