Space Syntax Laboratory Research Seminar: Martin Traunmueller

This event is part of a series. View the full schedule here.

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Using Telecommunications Data to Understand Urban Phenomena at Scale

In this seminar, Martin presents two examples of how telecommunications data, in particular mobile phone call data and WiFi ping data, can be used to quantitatively analyse urban phenomena. 

The first example investigates if the well-established crime theories by Jane Jacobs and Oscar Newman from the 1960s still hold in modern cities of the 21st century and on a bigger scale. Martin evaluates them on a quantitative level by using telecom and open source crime data. In the second example, he uses large-scale WiFi probe request data to model urban mobility trajectories in dense urban environments, in particular for Downtown Manhattan, New York City.

Biography

Martin Traunmueller is an architect and digital urbanist. During his time studying Adaptive Architecture & Computation MSc at The Bartlett in 2011, he developed the ‘Space Recommender System’ for the cityscape, which became the basis for Likeways Ltd., a start-up venture co-founded together with fellow Bartlett alumni.

Martin carried out his PhD funded research at the ICRI Cities / Department of Computer Science, UCL and then became a MacArthur Civic Analytics Research Fellow at NYU's Center for Urban Science and Progress (CUSP), where he analysed a broad variety of large data sets for the city of New York and built tools to improve the city's urban life quality.

Currently, he is a business developer and urban scientist at the Austrian Institute of Technology bridging the gap between future urban research and real-world applications.

About this series

This academic seminar series features researchers sharing their findings, discussing their ideas and showing work in progress from The Bartlett's internationally renowned Space Syntax Laboratory. Seminars are moderated by PhD candidate Sepehr Zhand. They are open to the public and attended by Bartlett’s staff and students.

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