Welcome to Transport Research, an open-source research organization dedicated to advancing transportation planning, travel behavior analysis, urban analytics, and spatial data science.
Our work spans multiple domains of transportation and urban planning, including:
- 🚍 Travel behavior and household travel surveys
- 🚆 Public transit planning and operations
- 🚗 Transportation equity and accessibility
- 📊 Spatial statistics and econometrics
- 🗺 GIS and urban spatial analytics
- 🚦 Traffic safety and crash analysis
- 🌎 Sustainable mobility and transportation policy
- 🤖 Machine learning applications in transportation
Comparative analyses of large-scale household travel surveys across multiple metropolitan regions.
- Bogotá Travel Survey (2005–2024)
- Mexico City Travel Survey (2009–2017)
Topics include:
- travel demand
- mode choice
- trip generation
- mobility equity
- longitudinal trend analysis
Research on public transit systems and service planning.
Current repositories include:
- SEPTA Service Cut Analysis
- GTFS Comparison Tools
Applications include:
- accessibility evaluation
- service reliability
- transit network analysis
- schedule comparison
Research using the Fatality Analysis Reporting System (FARS) to study roadway safety in the United States.
Topics include:
- fatal crash trends
- metropolitan comparisons
- roadway safety indicators
- reproducible analytical workflows in R
Our projects primarily use
- R
- Python
- HTML / Quarto / R Markdown
- GIS software and spatial data formats
Common libraries include
- tidyverse
- sf
- data.table
- fixest
- ggplot2
- osmdata
- geopandas
- pandas
- scikit-learn
We strive to make our research
- Reproducible
- Transparent
- Well documented
- Version controlled
- Open source whenever data licenses permit
Some repositories contain only code because underlying datasets are proprietary, licensed, or subject to data-sharing agreements.
If you use code or workflows from this organization in your research, please cite the corresponding publication when available.
Each repository contains its own license. Unless otherwise specified, repositories are released under an open-source license.
Questions, collaborations, and research discussions are welcome.
Transportation planning through open science, reproducible research, and spatial analytics.
