Service accessibility analysis over road networks
Example: Analysis of accessibility to critical services (hospitals, schools, emergency facilities) using road network data and travel time calculations.
Step-by-step guidance
1. Dataset-level metadata
Select the following values when describing your dataset:
Risk data type:
exposureTitle: “Service accessibility analysis for [region]”
Description: Brief description of the accessibility analysis, services included, and methodology (e.g., network analysis, isochrones)
Publisher: Organization that performed the accessibility analysis
License: Appropriate license
2. Resources
Add resources for your accessibility analysis files:
Format:
shapefile,geopackage,geojson,csv, orgeotiffSpatial resolution: Network segments, grid cells, or point-based (service locations)
Coordinate reference system:
EPSG:4326or appropriate projected CRS
You may have multiple resources for:
Road network data
Service locations (points)
Accessibility zones (isochrones or travel time grids)
Summary statistics by administrative area
3. Exposure metadata
Under the Exposure section:
Category
Category:
infrastructure
Taxonomy
Source: Custom or infrastructure classification system
Codes: Specify service types (e.g., healthcare, education, emergency response)
Metrics
Define what is being measured:
Metric 1 - Travel time:
Dimension:
accessibilityQuantity kind:
timeUnit:
minutesorseconds
Metric 2 - Distance (optional):
Dimension:
accessibilityQuantity kind:
lengthUnit:
kmorm
Metric 3 - Service capacity (optional):
Dimension:
structureQuantity kind:
countUnit:
1(e.g., number of beds, classrooms)
Occupancy
Specify infrastructure types:
healthcareeducationemergency_servicestransportation(Select all that apply)
4. Spatial coverage
Define the geographic extent:
Scale:
sub-national,national, orregionalCountries: Select applicable ISO 3166-1 alpha-3 country codes
Administrative regions: Specify provinces/districts if relevant
Bounding box: Specify coordinates of the analysis area
Example data structure
Your accessibility dataset should include:
Service locations:
Service ID
Service type/category
Coordinates
Capacity information
Operating status
Road network:
Road segment ID
Road class/type
Speed limit or average travel speed
Road condition
Geometry (line)
Accessibility results:
Location identifier
Nearest service ID
Travel time (minutes)
Travel distance (km)
Service accessibility category (e.g., “within 30 minutes”)
Key considerations
Specify the travel mode assumed (driving, walking, public transport)
Document assumptions about travel speeds and road conditions
Include temporal factors if relevant (peak hours, seasonal access)
Clarify whether analysis considers barriers (bridges out, flooding, etc.)
Reference the road network dataset used (e.g., OpenStreetMap, national road database)
Specify the method used for accessibility calculation (network analysis, Euclidean distance, cost-distance)