Dear Mr.Naceur ;

The suggested method involves calculating configurable spatial relationships in built environments. Space syntax, according to Hillier, necessitates four elements in urban analyses. To begin, space syntax entails working with a concise definition of urban space. Second, it provides a set of techniques for analyzing cities as spatial networks formed by the placement, grouping, and orientation of buildings. Third, it entails a set of techniques for observing how these spatial networks relate to functional patterns like movement, land use, area differentiation, migration patterns, and even social wellbeing and malaise.

I would argue space syntax is the lesser-known method to quantify accessibility - at least where I live. Conventionally, retail consultant draw up catchments for sites, and calculate the population within the catchment. The professional practice can vary by logic of defining a catchment, but usually there is a time limit defined for each mode of transport. How this translates to catchment can vary on the spatial data you have: if you only have spatial network, you will have a more rough catchment, compared to having traffic data. You can further refine this by weighing population cohorts by (1) their preferred mode of transport, (2) their characteristic time limit they are willing to travel. In consulting, a preliminary market study in the area supplies the data for this. What is also important, and is completely neglected in space syntax, is the function of the place. This is not a critique, ss is an analytic method that describes an attribute (accessibility, in this case) from one perspective. For retail, we have a spectrum between convenience goods and comparison goods, the former needs to be around in every corner, and the latter can be at the end of the world, you will still travel there (e.g guitar repair shop). You can apply this logic to other functions as well, based on how often they are used (parks, post offices, schools, etc.). Finally, I would highlight that space syntax has multiple analyses that can take a different perspective on accessibility, so I suggest constructing a multidimensional metric specific for your project. For example, you can compute integration globally, limited to 3-5 steps, in convex or axial graphs, and they will be slightly different. For convenience good-type functions, you can also zoom into urban space and run VGA control and isovist drift analyses to check if they are visually in a good spot, or hiding. You would have to identify main footpaths first to see which vantage points are important, which might necessitate a field study before you analyse. My firm also developed a big data-based analysis that takes into account interactions between close functions (like mutualism, and parasitism). What I am trying to say, integrate methods to fit your needs.

I have never seen such an accurate and detailed measurement method.

Thank you