sDNA

GIS and CAD tools, training, large scale 3d network analysisCardiff University Sustainable Places Research Institute
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.

Research collaborators
Tongji University College of Architecture and Urban Planning

ArupWSP|PB

 

Recent Posts

sDNA for reference class forecasting with explainable AI

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

sDNA for road travel time estimation and economic analysis

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

Definitive paper on sDNA

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

Hong Kong Places Impact Report

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

Cycling models just got simpler

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

First ever longitudinal test of a strategic pedestrian model

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

sDNA Open Source Release

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

sDN4 – lots of new features!

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

Realistic travel times for cyclists: sDNA at the 12th International Space Syntax Symposium

Crispin has been involved in a large cycling collaboration led by Bendik Manum of Norwegian University of Science and Technology Trondheim, and also including Chalmers University of Technology Sweden and our own collaboration with Arup Cardiff. The results will be … Continue reading

Latest sDNA cycling models at European Transport Conference 2018

Catch Ringo Chan (Arup) presenting our latest models at the 2018 European Transport Conference in Dublin this week. Presentation linked below: C Cooper, Cardiff University; R Chan, Arup, UK Combining spatial network analysis with demographics to study the effect of … Continue reading