Hörl and Balac [1] describe a data pipeline to generate a synthetic travel demand for Paris and Île-de-France. The data set consists of households, persons and their daily activity chains. It can be used in transport simulation, energy analysis and other research fields such as epidemiology. This data-in-brief article describes in detail the generated data set and how it can be regenerated based on publicly available and open data. The characteristics and pre-processing steps for the input data sets are covered in detail.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637465 | PMC |
| http://dx.doi.org/10.1016/j.dib.2021.107622 | DOI Listing |
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