We would really like to hear how people are using the dataset, to share any interesting findings and to hear if people need further support in using it. You can get in touch with us via email or via the GitHub page.

Space syntax is a set of techniques for analysing spatial layouts and human activity patterns in buildings and urban areas. It is also a set of theories linking space and society. Space syntax addresses where people are, how they move, how they adapt, how they develop and how they talk about it.

Space Syntax Limited applies this technology to analyse and forecast the impact of planning, transport, economic and design decisions on people and property for all scales of development.

For more information about Space Syntax Limited visit the Space Syntax Limited homepage

The Measures

Choice is based on the graph measure of Betweenness Centrality. Space syntax adapts this to measure how often a street segment appears on the simplest route between all other street segments in the network. The simplest route is defined as the route that undergoes the least total change in direction from start point to end point when linking all segments within a defined distance - e.g. 2,000m, 10,000m. We have included choice in the dataset as it often describes the distribution of movement. At 2,000m this will identify where pedestrian movement is likely to be higher, at 10km it will identify where vehicular movement is likely to be higher.

Integration

Integration is based on the graph measure of Closeness Centrality. Space syntax adapts this to measure the number of street segments within a defined distance, accounting for their distance and change in direction from the starting segment. We have included Integration as it describes patterns of centrality