Welcome to the Transport repository — a personal knowledge base and development lab focused on exploring and applying data-driven methods in transportation, urban systems, and geospatial analytics.
This repository serves as a central hub for:
- Transport system modeling
- Urban planning and infrastructure research
- Geospatial and spatial analysis
- Data visualization of mobility and flow patterns
- Tools and experiments in transportation engineering
All content reflects a mix of personal learning, practical exploration, and real-world insight.
Key focus areas include the classic four-step modeling approach:
- Trip Generation – Understanding how many trips originate and end in different zones
- Trip Distribution – Modeling travel patterns between origin-destination pairs
- Mode Choice – Evaluating how users select between transport modes
- Route Assignment – Simulating how trips are distributed across a network
Using Python, SQL, and GIS tools, this repo explores:
- Heatmaps and animated traffic flows
- OD matrices and congestion maps
- Geospatial clustering of land use and accessibility
- Demand vs. capacity mapping for strategic planning