The Science of Networks: Urban Movement System Design, Analytics, and Navigation
Year: 2023
Type: conference-abstract
Abstract: The science of networks, a relatively young field of research appearing in such a form and definition at the beginning of the 21st century, represents a very powerful area considering the range of subjects to which it contributes and is applied. This science is key for complex systems analysis or analytics (when referring to the (big) data science framework, which now mostly defines its methods and resources (Betty, 2019)) based on the claim that networks encode the interactions between the system’s components (Barabási, 2016) and thus provide insights into the ways complex systems behave, or control the behaviour of the artificially created systems. The area herewith represented through its analytical methods and forms (network graphs and related operations) is the urban transportation system — the Paris Express rail system, including all the categories with their existing lines and extensions currently either in construction, planned, or under consideration in the long term. The network has been created as a background topological environment and geometry for various research operations and generative design tasks. Some of them, such as urban movement path generation or the network’s incremental growth and reconfiguration as a system and the geometry of possible moves (legal actions), will be presented in more detail. The network can be considered both an abstract and real-world environment and situation, susceptible to the research of both gaming strategies for any constructed scenario and designed spatial situation (academic gaming, operational gaming, and heuristic gaming) and problem-solving strategies related to identified real-world design issues. Thus, the main question posed before the presented graph addresses the ways in which it can be operationalised and the methods through which this can be achieved, with special regard to AI.
Author: Ćirić, Dragana
Language: English
Subfield: Urban Studies
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7043016049