THURSDAY Dec-02 @ 2:30pm,
Via Webex [click here]

DIMITRIS PAPANIKOLAOU:
“Enabling Collective Mobilities”_

As part of the “What is Research in Design” lecture series, the Center for Architecture Studies & Ecology (CASE) have the great pleasure to present Dr. Dimitris Papanikolaou. His work cuts across different and blends urban design with systems engineering. With his lecture on “Enabled Collective Mobilities” Dimitris will discuss the future of urban mobility and how it can affect the planning of our cities.

Dimitris Papanikolaou is an Assistant Professor at the University of North Carolina at Charlotte, jointly between the School of Architecture and the Department of Software and Information Systems, and he is the founder and director of the Urban Synergetics Lab. His interests include ubiquitous computing, computer-supported cooperative work, complex systems modeling and simulation, human-computer interaction, decision-support systems, and design research. He holds a Doctor of Design (DDes) from Harvard University Graduate School of Design, an MSc in Media Arts and Sciences from the MIT Media Lab, a SMArchS in Design Computation from MIT’s School of Architecture and Planning, and a Diploma in Architectural Engineering from the National Technical University of Athens in Greece.

Enabling Collective Mobilities: Towards a Systematic Analysis, Assessment, Planning, and Design of Sustainable Shared Mobility Systems of Collective Control.

The more shared and interconnected our urban environment, the more complex its collective use and planning, as the needs and wants of each individual may often conflict those of others. The Urban Synergetics Lab at UNC Charlotte, designs enabling technologies that connect humans, objects and places cooperatively across scales, and it analyzes the emerging behaviors of shared systems through data and complex system simulation methods. In this talk, drawing on research on shared mobility, I discuss fundamental performance limits of mobility on demand (MoD) systems and I present novel data-driven dynamic modeling approaches from first principles that lead towards a theory of reciprocally relating urban form, land use, travel behavior, and performance of shared mobility.

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