Bali’s Traffic Assessment#

The Transportation Team in Bali will be assessing congestion in the island.

The following study leverages proprietary data from Grabmaps and Waze, kindly obtained through the Development Data Partnership and open-source data from Open Street Map and Meta. These data sources allow us, on the one hand, to examine the state of congestion — for example, its effects on travel times, its spatial, daily, and hourly distribution, and the locations where most accidents occur. On the other hand, we use them to calculate the Connected Communities indicator for existing and proposed transit systems, in order to understand how many people live within the systems’ catchment areas and what their relative wealth is.

A key advantage of these alternative data sources is their high resolution. For instance, GrabMaps and Waze provide data at the street level every hour (Grab1) and every two minutes (Waze), while Meta provides data at a 2.4 km² resolution, and OpenStreetMap is continuously updated by its community of contributors. This granularity enables analyses that would otherwise not be possible at such fine scales.

Content#

Waze data Analysis

Connected Communities

Getting Started#

Prerequisites#

  • Python 3.8 or higher

  • Jupyter Lab for running notebooks

Installation#

  1. Clone the repository:

    git clone https://github.com/worldbank/indonesia-traffic-analysis.git
    cd indonesia-traffic-analysis
    
  2. Create and activate the conda environment:

    conda env create -f environment.yml
    conda activate indonesia-traffic-analysis
    

Usage#

For detailed documentation and analysis notebooks, visit the project documentation.

Contact#

For questions, feedback, or contributions, please contact the Development Data Partnership at datapartnership@worldbank.org.

You can also open an issue in the GitHub repository.

License#

This project is licensed under the MIT License together with the World Bank IGO Rider. The Rider is purely procedural: it reserves all privileges and immunities enjoyed by the World Bank, without adding restrictions to the MIT permissions. Please review both files before using, distributing or contributing.

Code of Conduct#

This project maintains a Code of Conduct to ensure an inclusive and respectful environment for everyone. Please adhere to it in all interactions within our community.


1

Grab provides us with higher frequency data which we are not using in this study.