COMPUTATIONAL URBANISM-A PARAMETRIC RELATIONAL URBAN MODEL FOR URBAN PLOT RATIO ALLOCATION

Urbanism operates with massive dynamic urban data. For that, various urban code systems have been implemented for data registration. Howeve r our capacity of processing and cross breeding the se data is rather limited. This paper stresses the con cept of similarity matrix as the unifying factor to c nstruct a parametric relational urban model that can meaningf ully cross breeding different kinds of urban data a nd synchronize other urban analysis tools, such as spa ce-syntax. This parametric relational urban model c an dynamically adapt to the development of its physica l counterpart in selected aspects. The internal sim ilarity pattern of the existing urban fabric exposed by thi s urban model, can provide rational suggestions to ensure harmonious urban development strategies that preser v the typological urban form for particular city a t study. Besides, it is also possible to incorporate top-dow n intervention input, by which radical planning int e ions can be tested and compared with real-time feedback of their impacts on the entire urban fabric.