## 4 Results and Discussion  
### Potential for Creative Encounters through Spatial Configuration  
The results of the space syntax analysis are represented graphically on an axial map using a scale of colours ranging from red, referring to highly accessible streets, to blue, referring to segregated streets. Figures 4 and 5, and Table 2 show the results of the global and local NACH for the campus masterplanmodel. The analyses represent the potential through-movement for pedestrians within the campus (NACH RN) and 10-min walks (NACH R800m).  
\begin{table}
\begin{tabular}{l c c} \hline  & **NACHRn** & **NACH R800m** \\ \hline
**System min.** & 0.00 & 0.00 \\
**System mean** & 0.86 & 0.88 \\
**System max.** & 1.47 & 1.42 \\
01. De Mudden (street) & 1.37 & 1.31 \\
02. Kadijk (street) & 1.36 & 1.28 \\
03. Zernikelaan (street) (1) & 1.47 & 1.42 \\
04. Zernikeplein (street) & 1.29 & 1.30 \\
05. Kapteynborg building (corridor) & 0.82 & 0.84 \\
06. Blawborgje (street) & 1.41 & 1.23 \\
07. Landleven (street) & 1.35 & 1.39 \\
08. Duisenberg building (corridor) & 1.19 & 1.23 \\
09. Sports Centre (corridor) & 0.90 & 0.93 \\
10. Exam hall (corridor) & - & - \\
11. De De Deimten (street) & 1.29 & 1.32 \\
12. Growelerie (street) & 1.29 & 1.29 \\
13. Supermarket & - & - \\
14. Zernikelaan (street) (2) & 1.30 & 1.28 \\
15. Nijenborgh (street) & 1.32 & 1.29 \\
16. Energy Academy building (corridor) & 1.09 & 1.08 \\
17. Nettelbosje (street) & 1.27 & 1.32 \\
18. Mercator building (corridor) & 0.65 & 0.72 \\ \hline \end{tabular}
\end{table}
Table 2: NACH analysis for selected streets. For the location of the segments, see Figure 5.  
Figure 4: Normalised angular choice (NACH): (**a**) NACH Rn; (**b**) NACH R800m.  
The results show that, although the axial map was designed with a focus on spaces dedicated to pedestrian movement, the results of the global measure (NACH RN) highlight the high values of movement for vehicular, cycling and pedestrian routes throughout the campus's maxi-grid of straight streets (Figure 4a). Such a grid was a creative solution adopted in the 1960s, mainly to allow car circulation. High NACH RN values were found for the'spatial spine' of the campus, comprising the streets Zernikelaan, Kadijk, Blauwborgje and De Mudden (Figure 5). The local measure, NACH R800m (Figure 4b), resulted in high values on the Landleven, Nettelbosje, De Mudden, Kadijk and De Deimten Streets. This, therefore, highlights the urban spine with links to the maxi-grid. [PERSON] [37] suggests that a high potential for movement and co-presence is of major significance for the social relations and social capital that may potentially emerge in campus public spaces.  
Interestingly, the results showed that the internal corridor of the Duisenberg building has high values for local NACH (R800m), which are comparable to certain outdoor segments. These high values can be explained by its central location and connectivity to adjacent roads and other indoor circulation (Table 2). These results demonstrate that public spaces (or segments) with strong choice-values occur when many of the shortest paths, connecting all of the spaces to all of the other spaces in a system, pass through it [91]. However, the corridors of the Kapteynborg and Mercator buildings show low values. Such low values for segments that are not located in privileged and central areas can be attributed to the line depth of'specified' routes, because indoor areas are often less visible, less accessible, and have a lower potential for movement. Based on [PERSON] et al.'s [27] 'natural movement' theory, the aforementioned results suggest that the spatial configuration of the campus grid  
Figure 5: Spatial configuration of the campus masterplan including street names.  
yields attraction inequalities and privilege for some public spaces over others without the consideration of land use attractors.