This repository contains the code and data for the research paper "Investigating the Link Between Road Network and Congestion for Highly Congested Cities". The study extracts 14 different features from OSM urban tiles of size varying from 0.25 sq. km. to 2 sq.km to predict congestion patterns in various cities. Seven cities were considered: Auckland, New York City, Cape Town, Bogota, Mexico City, Mumbai, and Istanbul.
Install the required Python packages:
pip install -r requirements.txtClone this repository to your local machine:
git clone https://github.com/mie-lab/Urbanscales.gitTo run the analysis scripts and generate the congestion features, check out to the commit id at paper submit (09f7908619f9a6bab882e30002c4268ffe27f67c)
The network data is derived from OpenStreetMaps and processed using osmnx and the jam factor data is obtained from the HERE api.
If you find this repository useful for your research or if you use any of the methodologies in your work, please consider citing our paper:
@article{kumarUrbanscales2024,
author = {Nishant Kumar and Yatao Zhang and Nina Wiedemann and Jimi Oke and Martin Raubal},
title = {Distilling actionable insights through road network features to alleviate traffic congestion},
journal = {Journal/Conference Name},
year = {2024},
doi = {10.0000/researchsquareToBeFilled/000000},
address = {Singapore-ETH Centre, Singapore; ETH Zurich, Switzerland; University of Massachusetts Amherst, USA}
}This project is licensed under the MIT License - see the LICENSE.md file for details.
For any additional questions or feedback, please contact Nishant.