Sustainable neighbourhood assistant

When the ISO37101 standard meets LLM

Sustainable neighbourhood assistant

Augmenting Green Building Neighborhoods with ISO37101: an AI-Powered Mapping Tool for Sustainable Urban Planning

The quest for sustainability in the urban space is more pressing than ever. As complex cities worldwide strive to become greener and more livable, standards are an option for guidance, particularly for Green Building Neighborhoods (GBNs). I’ve been leading an effort assessing the feasibility of an innovative tool that leverages the SIO37101 framework, employing Artificial Intelligence (AI) and Large Language Models (LLMs) to transform how city stakeholders can envision and implement sustainable initiatives.

One of the challenges of neighbourhood initiatives is to account for the diversity of stakeholders and angles to approach GBNs. After a careful review of the ISO37101 standard seems to offer a comprehensive framework designed to guide the development of sustainable and resilient communities. It encompasses six core purposes of sustainability, supported by actions under twelve critical levers. This structured approach provides a robust map for aligning initiatives with the overarching goals of sustainability and resilience.

And since the standard does provide a strongly defined approach, this makes the use of LLMs an attractive option to automatically map out visions and strategies of cities, in parallel to the initiatives, solutions, and technologies, whatever form (technology, social innovation) or sector (energy, mobility, ..) - offering a clear visualization of how each initiative contributes to the broader objectives of GBN development. It does not only saves time but also ensures accuracy and comprehensiveness in capturing the different components of sustainable urban planning.

Its ability to facilitate informed discussions among GBN stakeholders is the primary objective of this solution: by visually mapping out initiatives, stakeholders of any type can easily assess whether their collective vision aligns with the actual initiatives in place. This alignment check is crucial for identifying gaps, redundancies, or misalignments in the current strategy, thereby supporting more coherent and focused roadmap towards sustainability.

An opportunity of this approach is also its capacity to create a common approach, enabling standardised mapping, possibly encompassing initiatives from various sectors and regions around the globe. This collective effort under an internationally recongnized framework can not only facilitate benchmarking but also encourages the exchange of innovative solutions across different GBN: by learning from the successes and challenges of others, communities can adapt and integrate new strategies, fostering a collaborative approach to sustainable urban development.

This GBN-based solution, at the intersection of standards and digital innovation, represents an interesting advancement in community, neighbourhood and city planning. This tool not only enhances the efficiency and efficacy of planning processes but also promotes a more interconnected and collaborative approach to building sustainable communities.