Editing Space syntax (section)

===Integration===
Integration measures the amount of street-to-street transitions needed from a street segment, to reach all other street segments in the network, using shortest paths. The graph analysis could also limit measure integration at radius 'n', for segments further than this radius not to be taken into account. The first intersecting segment requires only one transition, the second two transitions and so on. The result of the analysis finds street segments that require fewest turns to reach all other streets, which are called 'most integrated' and are usually represented with hotter colours, such as red or yellow. Integration can also be analysed in local scale instead of the scale of the whole network. In the case of radius 4, for instance, only four turns are counted departing from each street segment. Measure also is highly related to network analysis [[Centrality]].

Theoretically, the integration measure shows the cognitive complexity of reaching a street, and is often argued to 'predict' the pedestrian use of a street: the easier it is to reach a street, the more popular it should be.

[[File:Oxford Street London map.png|thumb|Oxford Street, London]]
While there is some evidence of this being true, the method is biased towards long, straight streets that intersect with many other streets. Such streets, as [[Oxford Street]] in London, come out as especially strongly integrated. However, a slightly curvy street of the same length would typically be segmented into individual straight segments, not counted as a single line, which makes curvy streets appear less integrated in the analysis.{{Example needed|date=March 2024}}{{cn|date=March 2024}}