sDNA cycling models have continued to get better and a recent paper in Int Jnl Sustainable Transportation shows how sDNA can model flows, mode choice and targeting investment. These models are all based on mixing lots of different user behaviours (trip types, distances and aversions to cycling in traffic) to match observed flow and mode choice data.
On the pedestrian front, Cardiff’s new Data Innovation Institute funded what we think is the first ever longitudinal (before-and-after backcasting) test of a pedestrian flow model, on our own city centre which saw huge redevelopment from 2007-2010.
Quick update to the conference calendar. Crispin will be at
In both cases presenting the range of current sDNA models both recently published (cycling) under review (walking) and in progress (land use, economic and car use).
And sorry you already missed,
- Crispin Cooper, Network modelling to target cycling and walking policies, Prioritising cycling infrastructure: new tools and datasets for the LCWIP. Leeds Institute for Transport Studies, March 23rd 2018
- Daniela Arellano, The Impact of built environment on car ownership in Santiago de Chile. University Transport Studies Group annual conference, UCL, London January 2018