Abstract
The United Nations’ 2030 Sustainable Development Goal 11 calls for making cities and human settlements inclusive, safe, resilient, and sustainable. However, as urban migration increases globally, slum populations are outstripping cities’ capacity to provide accommodation for new residents and to deliver on their Agenda 2030 Goal 11 targets. To try and solve this problem, the temptation for city planners, urbanists and politicians is to design and build quickly and cheaply. These budget constraints often result in expensive projects that eventually fail to deliver on inclusiveness, safety, resilience, and sustainability. Recent advances in Computer Aided Design (CAD) and algorithm-based Artificial Intelligence (AI) allow design systems to be programmed with the successful built environment pattern elements described by the design code, thus generating buildings adapted to their precise location. Using these innovative techniques, a development solution for a slum area can be delivered which is more connected with the culture, climate, and aspirations of the local population.
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Tomlinson, B. (2023). The Potential of New Methodologies, Approaches, and Artificial Intelligence Techniques in Addressing the Urgent Development Challenges of the Built Environment. In: Walker, T., Cucuzzella, C., Goubran, S., Geith, R. (eds) The Role of Design, Construction, and Real Estate in Advancing the Sustainable Development Goals. Sustainable Development Goals Series. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-28739-8_2
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