This repository contains the code to create an open data synthetic population of the Sao Paulo Metropolitan region. It can also be used to create scenarios for other regions in Brasil, given that an appropriate household travel survey is available.
- How to use this pipeline to create your own scenario
- How to run a MATSim transport simulation for Sao Paulo Metropolitan Region
In case you wish to use the generated synthetic travel demand or agent-based scenario directly, they are available here:
- Synthetic travel demand The files contain a 1pct synthetic travel demand.
- Runnable eqasim Scenario The files can be used to run a 1pct scenario using the RunSimulation script.
To run the simulation directly with the provided scenario you need to use the eqasim environment. The main class requiring only the config file as an input is available here.
The scenario is created using this repository with the version 1.1.
The main research reference for the general pipeline methodology is:
Hörl, S. and M. Balac (2020) Reproducible scenarios for agent-based transport simulation: A case study for Paris and Île-de-France, Arbeitsberichte Verkehrs-und Raumplanung, 1499, IVT, ETH Zurich, Zurich.
The main research reference for the Sao Paulo synthetic population is:
Sallard, A., M. Balac and S. Hörl (2021) An open data-driven approach for travel demand synthesis: an application to São Paulo, Regional Studies, Regional Science, 8(1), 371-386.
This repository contains the code to create an open data synthetic population of the Sao Paulo Metropolitan region. It takes as input several publicly available data sources to create a data set that closely represents the socio-demographic attributes of persons and households in the region, as well as their daily mobility patterns. Those mobility patterns consist of activities which are performed at certain locations (like work, education, shopping, ...) and which are connected by trips with a certain mode of transport. It is known when and where these activities happen.
Such a synthetic population is useful for many research and planning applications. Most notably, such a synthetic population serves as input to agent-based transport simulations, which simulate the daily mobility behaviour of people on a spatially and temporally detailed scale. Moreover, such data has been used to study the spreading of diseases, or the placement of services and facilities.
The synthetic population for Sao Paulo can be generated from scratch by everybody who has basic knowledge in using Python. Detailed instructions on how to generate a synthetic population with this repository are available.
Although the synthetic population is independent of the downstream application or simulation tool, we provide the means to create an input population for the agent- and activity-based transport simulation framework MATSim.
This pipeline has been adapted to many other regions and cities around the world and is under constant development. It is released under the GPL license, so feel free to make adaptations, contributions or forks as long as you keep your code open as well!
- Sallard, A., M. Balac and S. Hörl (2020) An agent-based scenario for the Sao Paulo Metropolitan Region, Arbeitsberichte Verkehrs-und Raumplanung, xxx, IVT, ETH Zurich, Zurich.
- Hörl, S. and M. Balac (2020) Reproducible scenarios for agent-based transport simulation: A case study for Paris and Île-de-France, Preprint, IVT, ETH Zurich, Zurich.
- Hörl, S., Balac, M. and Axhausen, K.W. (2019) Dynamic demand estimation for an AMoD system in Paris, paper presented at the 30th IEEE Intelligent Vehicles Symposium, Paris, June 2019.