Speaker
Description
Spatial government and planning are tools for implementing and safeguarding increasingly complex and globally interconnected systems. These processes use new systems for mapping, monitoring, and communicating spatial information, which can integrate territories, cities, and societies based on scaling processes and digital innovation flows.
The increasing complexity of global emergencies invites urbanism to explicitly re-evaluate its methodological and applicative contribution to urban and territorial transformation processes. Moreover, the intertwining of climate crisis and social inequalities increasingly calls for innovative and flexible interventions capable of dialoguing with the most advanced systems of cognitive automation and computational capacity. Hence, the need for a new urban paradigm emerges, capable of anchoring spatial models and settlement strategies to technologically advanced and/or emerging solutions. This new paradigm inevitably recalls the concept of ‘intelligent adaptation’, promoting design actions built based on natural languages typical of artificial intelligence (AI).
This contribution aims to deepen and discuss the relationship between spatial planning and new technologies, with a particular focus on the use of information and digital technologies in sustainable land management and development processes.
The contribution will address these issues from two distinct but integrated perspectives.
The first perspective will be mainly related to collecting and processing large information flows derived from the increasing use of physical and virtual components. The paper will explore the importance of adapting cities to increasing climate risks, which are considered more frequent and intense due to ongoing climate change. As central nodes of economic and social life, cities are particularly vulnerable and require a proactive and adaptive planning approach. The need to expand urban knowledge frameworks with greater detail, which helps manage risks and design resilient adaptation strategies, is explored. Specifically, this first part considers the application of digital technologies at the service of smart cities and territories. These are particularly useful in analysis and monitoring, especially in adaptation processes at different scales.
The second perspective will attempt to understand the analytical and organisational advantages that generative models bring to spatial planning and governance activities. To this end, some contemporary spatial planning issues will be examined where AI is already making relevant contributions.
This proposal offers a focal point to build an interdisciplinary debate on semantic and technical interoperability between AI and spatial planning. In the face of this growing complexity, modern computer algorithms could be fundamental in responding to emerging management needs. Today, the planning horizon of AI enables the analysis of complex data in real-time, optimising the management of local resources and improving the resilience of cities in the face of catastrophic events. As proof of this, the use of predictive models powered by machine learning techniques is accelerating the adaptive capacity of settlement systems, making decision-making processes more responsive and customised to the specific needs of each territory.MV is not limited to the restitution of a diagnostic or decision-support process but can become an accurate operational tool for implementing design solutions. MV can help identify opportunities for intervention, directing design action towards strategies that can at least mitigate vulnerabilities.
References
Al-Raeei, M. (2024). “Artificial intelligence for climate resilience: advancing sustainable goals in SDGs 11 and 13 and its relationship to pandemics.” Discover Sustainability.
Kulkov, I. (2024). “Artificial intelligence-driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals.” Sustainable Development.
Sohail, A., et al. (2024). “Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins.” arXiv preprint arXiv:2406.04902.
| Keywords | Intelligent Adaptation; Digital Innovation; Resilient Cities; |
|---|---|
| Best Congress Paper Award | No |
