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Top2. Research Method
Outcomes of this research will be a layout for interaction and transgression zones. In this research a cross-disciplinary approach is accepted which uses data science and knowledge engineering’s know-hows and integrates this knowledge to urban morphology. The research aims to evaluate geometric data with data science by coding the information and organize that information to apply on interaction and transgression zones with inputs of regulations which describes the boundaries of conserved areas and heights of the buildings. To do so, firstly single buildings is clustered according to their proportions. Secondly, relationships of these clusters are built. Last, according to the relationships, a guideline is drawn such as building with x proportion with y length and z with is type A and type A and B comes together in a certain way. In the decision of planning of this area this guide is expected to be followed while designing Interaction and Transgression Zones.
In the end, it is expected to draw an outline for interaction and transgression zones. The research will affect to decide new quantitative rules of interaction and transgression zones. As a result, ambiguity on pattern and morphology of interaction and transgression zones will be resolved.
Historic urban sites are generally designed as rigid geometries because legislations do not give opportunity to be flexible (Duarte and Beirao, 2011). Thus, in the historic sites, designers do not have space, from material selection to the proportions. This rigidity causes the duplication of same buildings in historical neighborhoods (Duarte and Beirao, 2011). According to Friedmann (1997), urban plans need to have a future projection and legislations have to be written accordingly. However, until the regulations change, there is no opportunity to change the urban design in historic neighborhoods. Because of regulations, historic urban sites have strict borders that divides the urban development area so, there is no bridge in between.