Cities have depended on each other since the origins of civilization. The original trade networks evolved to networks of cities that enabled the flow of knowledge embedded in physical resources and people.
Today, with the advent of AI, robots, and sensors, networks within and between cities increasingly rely on intelligent machines. This, in turn, has promoted a plethora of new connections between urban system components. Thus, to ensure sustainable urban development across different layers, it is imperative to understand the interactions between the physical, social, and digital networks.
The goals of this cluster are threefold. First, to use multiple perspectives in order to better understand the connections between different components of the urban systems. Second, to explore how such connections also affect the interactions across cities leading to different developmental stages, different challenges, and potentially different solutions. Third, to leverage the interactions between the different types of networks to propose innovative yet tangible solutions to global challenges.
This project aims to produce data and tools for a better understanding and evaluation of the effects that new technologies have on the socio-economic development of cities. To quantify the effects of new technologies on socio-economic outcomes it is imperative to study the interactions between humans and machines within and across cities. The rise of AI tools, for example, has spawned anxieties as to what is their actual impact on human well-being.
This project aims to create digital models of the cityscape that will help in understanding and documenting changes in the urban structure of cities due to rapid urbanization To understand the current era of urbanization and better manage the use of natural resources, it is necessary to understand the historical trends that shaped cities into their current form. Documenting modern heritage not only helps to preserve such knowledge for future generations, but it sheds light on how future changes might play out. and socio-economic development.
Traffic congestion is a challenge across cities worldwide, with multiple transport modes competing for limited road space. At the same time, new technologies are triggering rapid changes in mobility. This project aims to develop novel modeling and optimization tools for designing, operating and controlling advanced mobility systems, especially during a transition period where conventional and automated vehicles coexist. The idea is to build solutions that improve the performance of the overall system while taking into account the interactions and trade-offs across the different modes. At this point, this work is divided into three sub-projects.