Healthcare Facility Proximity in Tokyo Metropolis with Pedestrian and Transport Buffers

Geographic information systems were used to evaluate spatial proximity to five types of healthcare-related facilities in Tokyo Metropolis. The analysis calculated population coverage within Euclidean buffers from 400 m to 3200 m and the proportion of facilities near public transportation features from 250 m to 3000 m. Tomofumi Yamazaki authored this dataset, which was last updated on 2026-05-29.

Use Cases

• Identify healthcare access deserts based on walkable proximity to pharmacies, hospitals, clinics, dental clinics, and elderly welfare facilities.
• Compare the alignment of public transportation infrastructure with healthcare facility locations across Tokyo's 23 special wards and Tama region.
• Model population coverage for healthcare services using Euclidean distance buffers from 400 m to 3200 m.
• Assess transportation-related proximity to facilities using buffers around bus stops, bus routes, and railway stations.

Strengths

• Analysis covers five distinct facility types: pharmacies, hospitals, clinics, dental clinics, and elderly welfare facilities.
• Uses multiple buffer distances for both pedestrian (400m-3200m) and transport-related (250m-3000m) proximity calculations.
• Focuses on a large, heterogeneous urban region (Tokyo Metropolis) with internal comparisons between the 23 special wards and the Tama region.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size suggests a very limited scope, likely containing summary results rather than raw geospatial data.

Provenance

Source

figshare, author Tomofumi Yamazaki.

Collection Method

Likely derived from geographic information systems (GIS) analysis of facility and transportation infrastructure locations.

Freshness

Last updated 2026-05-29 17:29:13; freshness should be verified.

Geography

Tokyo Metropolis, Japan, including the 23 special wards and the Tama region.