sDNA is world leading spatial network analysis software, compatible with both GIS and CAD. We use the industry standard network representation to produce metrics that correlate to human health, community cohesion, land values, town centre vitality, pedestrian and cyclist flows, land use, traffic volumes, accidents and crime.
The sDNA team is currently working hard to enhance our capabilities for active travel modelling. We are already working on numerous real-world projects to stay in touch with the needs of practitioners, as well as completing work on health, recreation … Continue reading
Healthy Cities: Public Health through Urban Planning (Chinmoy Sarkar, Chris Webster & John Gallacher) describes a novel approach to public health and healthy-city planning that integrates the diverse and multi-level health determinants present in a city system. sDNA gets its own chapter. From … Continue reading
sDNA was behind a large part of the scenario modelling in a recent report on the ecological footprint of the Hay literature festival. Crispin Cooper (of the sDNA team) and Andrea Collins (Planning & Geography) presented the results at the … Continue reading
Alain was invited to write an article for Adjacent Government magazine. He used it to promote the need to reference data at street level – a crucial enhancement over area-based data, which always seems a bit course-grained when fed into … Continue reading
What happens when we finally take a break from writing software to do some research with it? This – a novel finding on spatial network layout and community cohesion published in the International Journal of Health Geographics. Some figures are … Continue reading
sDNA attracted the attention of Cabinet Office Minister Francis Maude on a visit to the university this week. ”It is great to see the fascinating work that Cardiff University is doing to create efficient cities that best serve their communities … Continue reading
A team of students with a project based on the sDNA software won the Winter 2013 iSolve competition. This is a scheme that allows entrepreneurial postgraduates and researchers to work with real inventions in order to determine the best route … Continue reading
Here’s an interesting little plot I thought I’d share. It shows Mean Angular Distance (MAD 320km scale) on the x axis and GDP per capita on the y. High MAD means less accessible, so the plot shows a trend where … Continue reading
The University of Hong Kong Faculty of Architecture have commissioned us to develop 3d pedestrian modelling features for sDNA. Watch this space.
Today we released a Python API to sDNA. This should be of interest to those who like to get more creative with their analysis or parametric design!