Elena Tehila Roizman

Predictable City

Big data analysis should be an integral part of the urban planning process nowadays.
In the digital age, the data that we generate in real time gives urban planners the opportunity to find behavior patterns in previously non-existent ways, to understand the connections between phenomena and to extract insights that are not based on conventional ways of thinking.

My project suggests observing the behavior patterns of the city’s residents, analyzing the effects that urban planning has on these patterns, and developing a model for forecasting the effects of future planning on residents’ behavior by architectural research methods.

Using machine learning algorithms, behavioral changes can be predicted, and by extraction of these insights it is possible to develop innovative visual research devices that extend architectural representation to an operative direction which will present complex relationships and raise awareness of the implications of city planning.