Workshop

Exploring Computational Urban Analysis-Synthesis Methods and Techniques Supporting Urban Intervention Scenarios for TARLABASI

GOALS

The aim of the workshop is to propose urban intervention scenarios for a historical deteriorated neighbourhood of Istanbul; Tarlabasi. Tarlabasi neighbourhood is currently subject to urban renewal consisting of a massive demolishment and large-scale constructions, leaded by Istanbul Metropolitan Municipality. The urban renewal approach applied by the municipality is seriously criticized for not respecting existing historical urban patterns and social networks. Therefore, in this workshop we aim to produce alternative urban intervention scenarios on how Tarlabasi can be transformed without destroying its original character. Within this framework it is very important to identify site-specific particularities of Tarlabasi to further incorporate them into urban intervention strategies. We therefore introduce various computational urban analysis methods and techniques as a toolset that enables identification of diverse aspects of the site. In the scope of our workshop we will test how this toolset can be used to support design decisions in an inner-city urban intervention problem.

PROGRAMME

Day 1: Monday, May 13th

09:30-10:00 Lecture [intro] A. Sokmenoglu, J .Beirão and P. Nourian 10:15-11:00 Lecture [context] Urban transformation in Tarlabasi – A. Sokmenoglu 11:00-14:00 Tarlabasi Site Visit 14:00-18:00 Urban Intervention Studio [analysis+1st intervention ideas]

Day 2: Tuesday, May 14th

09:30-10:15 Lecture [tools] A. Sokmenoglu – Data Mining 10:30-11:15 Lecture [tools] J. Beirão – Parametric Urban Design 11:30-12:15 Lecture [tools] P. Nourian – Configurative Design (Analysis, Synthesis and some hints on Evaluation) 14:00-16:00 Brainstorming – 1st Presentations [analysis+1st intervention ideas] 16:30-18:00 Urban Intervention Studio [computational analysis]: introduction to analytical methods and tools – data mining – A.Sokmenoglu

Day 3: Wednesday, May 15th

09:30-18:00 Urban Intervention Studio [computational analysis + synthesis] Network analysis, accessibility analysis, walkability assessment. Integration of analysis and design tools in parametric design environments – P. Nourian

Day 4: Thursday, May 16th

09:30-12:30 2nd Presentations [computational synthesis + intervention strategies]: parametric urban design tools; density indicators and their calculation in Grasshopper. Available urban design variables in a Grasshopper test models. Guidance for scenario exploration – J. Beirão 14:00-18:00 Urban Intervention Studio [final proposals]

Day 5: Friday, May 17th

09:30-12:30 Urban Intervention Studio [final proposals] 14:00-18:00 Urban Intervention Studio [final proposals]

Day 6: Monday, May 20th

09:30-12:30 Urban Intervention Studio [final proposals] 14:00-18:00 Final Presentations

AGENDA

All workshop instructors attend Urban Intervention Studios for technical support and consultation.

In Tarlabasi there are buildings, which are all empty, and buildings that have no historical or architectural importance. In the workshop, after analysing Tarlabasi by means of various methods and techniques, including GIS, data mining, density & land-use analysis, based on their findings and their design intentions/concepts, they can propose:

-a general strategic scenario for transformation of Tarlabasi;

-urban design proposals such as new buildings, new functions, new public spaces etc. that will enable this strategic scenario to materialize.

Students may analyse the following subjects:

– land-use patterns. Data mining land-use will enable participants to explore the existing land-use patterns of the neighbourhood and identify the programmatic needs in order to support the formulation of a list of program requirements to take into consideration as needs or opportunities for urban intervention;

– accessibility to specific nodes;

– street networks including, walkability assessment, distribution tools, network analysis;

– geographical analysis of built form density, land-use and their patterns. – correlations of the previous analysis will be encouraged as a means to find significant strategic approaches for future interventions.

TOOLS

GIS software (QuantumGIS); Rhino 5 + Grasshopper + Slingshot; RapidMiner At the end of the analytical procedures students will be able to support their scenarios and build parametric models where variations on design variables may be entered to test or fine tune scenarios or particular proposals.