Duhok University Campus Traffic Space Syntax (Theory & Method) as Evaluation Tool

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Continuous urban expansion of the University of Duhok has involved the increase in the number of buildings, streets and parking with increase the number of staff, employees and students alike. This expansion has reflected on the traffic movement in the streets and corridors paths of the university, which eventually led to the emergence of the problem of traffic congestion and its negative impacts during the rush hours. The overlapping between the axes of movement both of pedestrians and vehicles occurs as a result of the lack of consideration the spatial configuration design of the street network of the University and its space expansion.
In this study, a novel method was developed to analyse the streets networks of the University of Duhok, in terms of its spatial urban designs and the functional structures based on Space Syntax Approach using the depth map as an analytical tool. In our new methodology, the researchers investigated the syntactic properties of movements axes based on two parameters: integration and choice in order to: identify the most crowded street path which has a connection with more than one road; interpret the functional structure of the University. Plenty of the tests to the architectural hypotheses were conducted to analyse the causes of traffic congestion and the absorptive flaws in the spatial configuration of the network streets of the University of Duhok.
The results revealed that the compact paths and crowded streets are escalated because they connected to the main road with several entrances in the most congested road axes. It is concluded that the redirection of the connection entrances of roads with streets through changing their spatial connection points and the functional structure can lead to mitigate the severity of traffic congestion. A distinctive specialty of the proposed approach has its applicability to help in reducing the congestion in the University of Duhok and to verify the feasible solutions to avoid the problems of the traffic congestion in the future.

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