403 Error while trying to run NYC example

[Nasheor]

Hey,

I recently tried running the example of NYC from the repository to better understand SYNPP. However, I'm getting a 403 message while following the steps to run the NYC data from the README.

Could you please advise me on resolving this error?

Thanks in advance.

[sebhoerl]

Dear @Nasheor, thanks for noticing this problem. In fact, the NYC data is not available anymore in its initial form. It has been anonymized and converted to another format. The examples need to be updated accordingly to process the new version.

[Nasheor]

Hey @sebhoerl
Many thanks for your quick response. Really proves that this project is being developed actively.

I have a question regarding a use case for this library.

I have census data for travel patterns, workplace locations, travel mode, home locations, and time of the day journey is happening for Dublin city. However, all these datasets are separated with intervening parameters that could be used to build activity chains for commuters (specifically from home to work and back home).

Could I use this library to build activity chains from this data? Any pointers and guidance would be greatly appreciated.

Thanks

Kind Regards
Avinash Nagarajan

[sebhoerl]

Hi @Nasheor, this repository is really just the technical backbone of the pipeline. You can find more information on a synthetic population pipeline implementation here: https://github.com/eqasim-org/ile-de-france

There is the accompanying paper:

Hörl, S., Balac, M., 2021. Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data. Transportation Research Part C: Emerging Technologies 130, 103291. https://doi.org/10.1016/j.trc.2021.103291

It will help to understand how the pipeline works, what are the steps, etc. You can replicate the methodology with the French data sets when following the instructions from the repository.

The pipeline has been adapted to a bunch of other cases, for instance to São Paulo:

Sallard, A., Balać, M., Hörl, S., 2021. An open data-driven approach for travel demand synthesis: an application to São Paulo. Regional Studies, Regional Science 8, 371–386. https://doi.org/10.1080/21681376.2021.1968941

https://github.com/eqasim-org/sao_paulo

And to California:

Balac, M., Hörl, S., 2021. Synthetic population for the state of California based on open-data: examples of San Francisco Bay area and San Diego County, in: 100th Annual Meeting of the Transportation Research Board. Washington, D.C., January 2021.

https://github.com/eqasim-org/california

These publications show a bit how the pipeline can be extended, but depending on your data you may need smaller or bigger adjustments.