
Big Data, AI and Urban Future
TAD Urban Planning & Smart Cities community in Collaboration with TAU City Center​
Monthly Lecture Series during the 2nd semester on Big Data, AI and Urban Future
March-June 2022 | Tel Aviv University
The series will bring together TAU and worldwide experts to discuss the impact of data science and AI on urban life and its management.
The series will host four meetings:
March 10th 2022, 12:00 PM IL | via Zoom
John Östh, Oslo Metropolitan University
Pandemic related mobility changes in the greater Stockholm region, and the effects on segregation
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April 7th 2022, 12:00 PM IL | in Person
Alex Hagen Zanker, University of Surrey
Identifying a pan-European shift in urban growth dynamics over the period 1974 2014 using big data and dynamic modeling
May 12th 2022, 12:00 PM IL | via Zoom
Toshihiro Osaragi, Tokyo Institute of Technology
Simulating high resolution spatio-temporal distribution of urban population and activities for the earthquake response
Abstract: With an eye on the applications to spatial planning and sustainable development, I present a spatially explicit high-resolution model of the multi-mode urban mobility and, specifically, train and car use dynamics, using the big data of several kinds: personal trips survey, road traffic census, and population statistics derived from the mobile phone data. I apply this model to the estimation of population mobility in the Tokyo metropolitan area, focusing on the consequences of large-scale disasters and earthquake mitigation planning.
June 2nd 2022, 12:00 PM IL | via Zoom
Itzhak Benenson, Tel Aviv University
The near future of urban transport
Abstract: New and emerging transportation modes and solutions — ride-hailing, scooters, AV (Automated Vehicles), and MaaS (Mobility as a Service) — will repair our always congested urban reality. This is the basis of the forecasts of urban mobility that were proposed during the last two decades. In retrospect, they all look over-optimistic. I review these forecasts versus the observed and simulated urban transportation reality, and conclude that they rely on the non-robust projections that overestimate the rationality of human reaction to the changes in transportation infrastructure and conditions. Based on this analysis, I suggest possible evolutionary pathways of the urban transportation systems.
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Photo credit: Image by Jensen Art Co from Pixabay

Information Strategy: An Advanced Synergy of Models, Techniques & Information Systems in Spatial Research & Planning
Join us for a meeting with Prof. Avi Degani, founder and president of Geocartography Knowledge Group (GCKG), and a Professor at Tel Aviv University, Dept. of Geography and Human Environment.
08 January 2019 | Tel Aviv University
The lecture by Prof. Avi Degani, founder and president of the Geocartography Group (GCKG), and professor at Tel Aviv University, Department of Geography and the Human Environment - will include a demonstration of applications in the following areas:
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Extreme situations: creating a "city of resilience" - in routine and emergency situations;
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Planning: intelligent planning to accompany urban renewal;
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Transportation: The accessibility of public transportation produces an urban quality of life;
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Community and participation: person, society and community - information, perceptions and meanings; "to know differently" for the purpose of effective public participation; Neighborhood rehabilitation - from theory to implementation;
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Commerce: projections of expected revenue and market potential for economic and commercial ventures in the city;
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Health: On diabetes and medical services.
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Photo credit: Image by Photo Mix from Pixabay

Change, a choice and its consequences
You are cordially invited to a special lecture by Prof. Gert de Roo, head of the Department of Spatial Planning and Environment at the Faculty of Spatial Sciences, University of Groningen. Lecture title:
Change, a choice and its consequences: From the rational actor to a dynamic choice theory - a personal ‘coup d’état’
04 November 2018 | Tel Aviv University
Spatial planning is by many seen as a product of modernity. It framed the world by the ‘rational actor’ and a technical rationality. It is as well a discipline that embraced as one of the very first a communicative rationality. This step brings together two visions, two worlds: a world of functionality, efficiency and facts and a world of values, consensus and narratives.
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The result is a frame of reference which brings spatial planning all the options to deal with any situation no matter how fuzzy, vague or fluid it is. This frame of reference considers any situation in degrees of complexity, and relates to this approaches, actions and consequences. This works amazingly well, as long as reality is seen as static, with degrees of ‘static’ complexity. While planning is quite capable to handle ‘static’ environments, the complexity sciences have introduced concepts to handling ‘dynamic’ environments.
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More than a decade theorists are wondering about merging the debates of spatial planning and the complexity sciences: The possibility of differentiating situations (as planners do so well) while these situations are in constant state of change (elegantly explained by the complexity sciences). Could the outcome be a new frame of reference, to consider situations at hand as transformative processes and to identify possibilities to intervene purposefully for the better good of society?
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Personal reflections will be given about the possibility of a ‘dynamic choice theory’.
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Photo credit: Image by FlitsArt from Pixabay