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Module IX

Simulation Platform

Service and Research for Future Planning Environments

Informing design and decision-making processes with new techniques and approaches to data acquisition, information visualisation and simulation for urban sustainability

In science, simulations have assumed a critical role in mediating between theory and practical experiment. In architecture, simulations increasingly function in a similar way to help integrate the design, construction, and lifecycle management of buildings. And in urban planning, simulations have become an indispensable method for generating and analysing design and planning scenarios. The growing importance of simulation for these fields has been stimulated by a rapid growth in the availability of urban-related data. Despite this, most current simulations are capable of capturing and activating only a small fraction of the available data. Addressing this lack is both a matter of generating appropriate computer power to process the vast bodies of data, and accessing the data itself that is often held in hard to access databases. To contemplate possible advanced urban planning techniques that activate live and dynamic data, demonstrates that existing tools, such as GIS, are ill equipped to exploit the analytical and communicative potentials of this growing volume of urban data.

This module examines how to effectively deal with the growing volume of urban-related data. It investigates new techniques and instruments for the acquisition, organisation, retrieval, interaction, and visualisation of such data. It will propose techniques for designers, decision-makers and stakeholders to access necessary data about the city in innovative and dynamic ways. It does in two ways. First, it supports other research modules in the Future Cities Laboratory by supplying services such as data acquisition methods and visualisation facilities. Second, building on these services it will conduct original research on advanced and dynamic modelling, visualisation and simulation techniques that aim to better understand and intervene in the complex processes that shape contemporary cities.

Spatiotemporal visualisation of simulated traffic data for the greater Zurich area. vertical axis indicates time in terms of a whole day. Individual routes are drawn within this space-time cube. Realisation: Dr. Stefan Müller Arisona (ETH Zurich), Afian Anwar (MIT), and Wei Zeng (NTU). Data courtesy of Prof. Dr. Kay Axhausen and Dr. Alex Erath (ETH Zurich)

Spatiotemporal visualisation of simulated traffic data for the greater Zurich area. vertical axis indicates time in terms of a whole day. Individual routes are drawn within this space-time cube. Realisation: Dr. Stefan Müller Arisona (ETH Zurich), Afian Anwar (MIT), and Wei Zeng (NTU). Data courtesy of Prof. Dr. Kay Axhausen and Dr. Alex Erath (ETH Zurich)

Location of residential (red) and service industry (blue) based on gis evaluation of the amenities distribution in Singapore. Image credit: Gideon Aschwanden (ETH Zurich). GIS support: Dr. Tao Wang (ETH Zurich)

Location of residential (red) and service industry (blue) based on gis evaluation of the amenities distribution in Singapore. Image credit: Gideon Aschwanden (ETH Zurich). GIS support: Dr. Tao Wang (ETH Zurich)

Future participatory planning environment, supported by collaborative communication and advanced visualisation technology. Rendering: Lukas Treyer (ETH Zurich)

Future participatory planning environment, supported by collaborative communication and advanced visualisation technology. Rendering: Lukas Treyer (ETH Zurich)

Applying mobile social sensing techniques to obtain sustainability information of individual users. Image credit: Dongyoun Shin (ETH Zurich)

Applying mobile social sensing techniques to obtain sustainability information of individual users. Image credit: Dongyoun Shin (ETH Zurich)