Can we use UNA to measure the level of integration? Is it better than space syntax?

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Nayomi Kankanamge

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Apr 3, 2016, 3:19:43 PM4/3/16
to Urban Network Analysis
Trough the space syntax the level of integration was measured using nodes and edges. But here, we use buildings also. I am not clear how we can incorporate buildings to measure the integration.

My second is related to the buildings. In using buildings we have give weights. Assume that I use the  number of population in buildings. In such a case do i need to enter manually the data for the each building. 

It is highly appreciated if you could publish a video documentary on how to do the Urban Network Analysis from the bottom to top for a given document. 

Anyway, UNA is a very good tool and I am impressed with it, though I have lot of questions

Andres

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Apr 3, 2016, 3:45:45 PM4/3/16
to Urban Network Analysis
The Space Syntax integration measure is technically analogous to the "gravity" and "closeness" indices in network studies. However, SSX uses a dual graph representation, where street segments (or axial lines in the case of SSX) are represented as nodes and intersections as edges. There is thus no metric distance in this representation -- proximity is instead measured in "steps" or the number of turns it takes to get from a particular axial line to another axial line. If they intersect with each other, then it is one step. If they are parallel and connected by a third line, then it is two steps etc. 

Gravity and Closeness metrics offered in the UNA toolbox can measure similar qualities. If you are interested in doing simply a network level integration analysis, then you could proceed as follows. 1) select just network junctions (intersections) as your origins/destinations. 2) make sure your network has a "turns" impedance attribute. 3) run the Closeness analysis using "Turns" as the impedance attribute and a search radius that is large enough to reach the most remote parts of your network. If you want to translate the results to segments instead of nodes, perform a spatial join from nodes to segments and assign each segment the average result of its two end nodes. 

To run a Closeness analysis for buildings instead, just use buildings as inputs instead of street junctions. Pls see the Help file for more details.

Andres
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