sDNA is world leading 2D and 3D spatial network analysis software for GIS, CAD, Command Line & Python using industry standard network representation. We compute accessibility and predict flows of pedestrians, cyclists, vehicles and public transport users; these inform models of health, community cohesion, land values, town centre vitality, land use, accidents and crime. We provide a simpler alternative to transport models, particularly for sustainable transport.
The sDNA+ team, including Crispin Cooper, James Parrot, and Alain Chiaradia, is excited to announce our new plugin for 3D sDNA+ in the Rhino-Grasshopper environment. With the growing demand for integration with the popular Rhino-Grasshopper platform, we have wrapped sDNA+ … Continue reading
As of today, no more signups are required for sDNA+ features. The software is now fully open souce (go look on github) and the installer can be downloaded from this site as usual.
sDNA is now at the core of adapting Flyvberg‘s Reference Class Forecasting megaproject outcomes appraisal – using explainable AI to appraise new town, CBD, road and rail infrastructures: A SEM-ANN adaptation of reference class forecasting for the assessment of large-scale … Continue reading
Our first foray demonstrating the use of sDNA in economics is now published: Hossain, MA, Cooper, CHV. Spatial network analysis as a tool for measuring change in accessibility over time: Limits of transport investment as a driver for UK regional … Continue reading
Finally, one definitive paper on the sDNA software itself: when you next need to cite the software please use Cooper, C.H.V., Chiaradia, A.J.F., 2020. sDNA: 3-d spatial network analysis for GIS, CAD, Command Line & Python. SoftwareX 12, 100525. https://doi.org/10.1016/j.softx.2020.100525 … Continue reading
The sDNA Team has been working with Swire Properties HK on a Places Impact Report. Swire Properties is a property developer with investments across Hong Kong, Mainland China, Singapore and the U.S. Using a comparative approach, the Places Impact Report … Continue reading
Thanks to Eric Chan, who completed his MSc dissertation on the sDNA project, we can now produce cycling models in many cases without needing to model motorized traffic first. This saves planners a lot of effort. Chan, E.Y.C., Cooper, C.H.V. … Continue reading
We’re pleased to receive some great feedback from Juan de Dios Ortúzar (co-author of Transport Modelling (4th Edition) with Willumsen, L.G., 2011) on our longitudinal model of the redevelopment of Cardiff 2007-2010: “I was well impressed by the work done, … Continue reading
We’ve been saying for years that we should provide more support for transparancy, reproducibility and accessibility of research with an open source release of sDNA, so here it is at last: sDNA Open released under GPL3 on Github. Hooray! That … Continue reading
It’s time to announce sDNA version 4, or “sDN4″… For funding we are thankful to Wedderburn Transport Planning, and also Alain Chiaradia and Chris Webster for re-investing their royalties from sDNA+. sDN4 includes several new features, principally the ability to … Continue reading