Welcome to Transport_frames documentation!

Transport Frames is a Python library designed for spatial transport analysis, offering tools to:

• Generate transport frames based on drive graphs.

• Identify priority roads by evaluating the expected popularity of routes between exit pairs.

• Update drive graphs with new road connections, ensuring proper integration.

• Grade territory polygons by analyzing distances to federal and regional roads.

• Compute a weighted connectivity score for a region based on accessibility to transport services and road network quality.

• Interpret accessibility scores into textual descriptions.

• Aggregate administrative-level statistics by computing transport indicators at different spatial scales (regions, districts, etc.).

• Analyze territory-specific indicators by using buffer-based calculations around the center of a given territory.

Documentation:

• Transport_frames
  • Quickstart
• Examples
  • Graph creation
  • Indicators calculation
  • Territory grade and criteria
  • Adding roads to the graph
• API documentation
  • transport_frames.graph
  • transport_frames.frame
  • transport_frames.criteria
  • transport_frames.indicators
  • transport_frames.road_adder

Features:

🚏 Frame and Road Network Analysis

• Constructs frames from drive graphs to analyze road connectivity.

• Investigates priority roads based on estimated route popularity.

• Updates transport graphs by adding new edges and ensuring seamless network connectivity.

🌍 Territory Grading and Connectivity

• Grades territories based on proximity to federal and regional roads.

• Computes connectivity values from road networks and accessibility to key transport services (bus stops, railways, airports, ports).

• Assigns territory-wide scores to summarize transport accessibility.

📊 Indicator Computation

The library calculates various transport indicators at different administrative levels (region, district, etc.), including:

• Distance to regional centers

• Distance to federal roads

• Connectivity score (measuring how well a region is connected to the transport network)

• Lengths of roads and railway paths

• Road density (road length per area)

• Service accessibility (bus routes, railway coverage, and general service accessibility)

• Number of services (number of services inside or near a given territory)

• Number of bus routes (number of bus routes intersecting the territory)

• Distance to nature objects (water objects, nature reserves, etc.)