Case Study: Bedford, England

Analysis summary

  • You calculated the BNA score for Bedford, England, UK within a biking distance of 3 km.

  • The size of the osm data for your study area is 100.99 MB and the analysis took 36.1 minutes to run.

  • The analysis corresponds to the OSM boundary area (red) based on its Lower Layer Superoutput Areas (LSOA) (green).

Results

Score/Value
Overall Score 66.18
Population 169912
Length of Low Stress Network (km) 2399.1
Length of High Stress Network (km) 1075.7
People
Total People 72.53
Opportunity
Employment 71.74
K-12 Education 81.9
Technical/vocational school 30.5
Higher Education 45.41
Total Opportunity 65.91
Core Services
Doctor offices/clinics 61.97
Dentist offices 53.77
Hospitals 66.21
Pharmacies 60.08
Supermarkets 80.69
Social services 44.73
Total Core Services 63.9
Retail
Total Retail shopping 75.1
Recreation
Parks 83.57
Recreational trails 68.45
Community centers 47.5
Total Recreation 69.26
Transit
Total Transit 51.26
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