What is it about?
This research emerges from examining trends in smart cities. It explores the impact of collective intelligence, geographical information systems, and cognitive systems as a way of supporting the decision-making of local governments (municipalities) to face the challenges announced by the UN in the Urban Agenda 2017. This methodology employs an exploratory approach using the participatory action research method. The model was tested in three municipalities in Ecuador using a technological and collaborative platform called Cognitive Urban Planning (PUC). The results highlighted improvements in the decision-making process in urban planning, since the interactive participation processes through the PUC allowed for the suggestion of a group of strategies for an emerging neighborhood plan developed with the citizens working together in the municipality in real-time. In conclusion, the effects of the decision-making plan could be applied to improve and enhance community participation through city co-creation, supporting the decision-making process of municipalities in a way that promotes inclusive urban planning and stakeholders' awareness, as the recommended plans are supported by the desires and needs raised by citizens.
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Why is it important?
The presented results highlighted that these could improve the decision-making process in urban planning as well as the awareness and citizens' participation in the context of smart/cognitive cities since the interactive participation processes allowed the system to suggest a group of strategies for an emerging neighborhood plan. Specifically, the effects of the decision-making plan could be applied to improve and enhance community participation through city co-creation, supporting the decision-making process of government institutions (municipalities) in a way that promotes inclusive urban planning and stakeholders' awareness, as the recommended plans are supported by the desires and needs raised by citizens. The SIG allows citizens to create interactive queries, analyze spatial information using maps in real time, and present the results of all these operations; moreover, the SIG technology is typically used for urban planning, interacting with the inhabitants of urban areas—such as towns and cities—and interacting with the built environment over a given period. Finally, the CS implemented in the platform PUC using artificial intelligence technologies found patterns in the data recollected that allow for recommended strategies being applied in the intervention area.
Perspectives
Future works based on cognitive urbanism can look at issues related to rural economic development based on collaborative agriculture and the marketing of products between the countryside and the city supported by intelligent systems, along with citizen security through collaborative surveillance processes in cities. Furthermore, in general, the construction of models and prototypes for neuroarchitecture or neurourbanism is based on collective intelligence supported by cognitive systems and PGIS.
Pedro Jiménez-Pacheco
Universidad de Cuenca
Read the Original
This page is a summary of: Cognitive Urban Planning Enhancing Decision-Making in Local Governments., Digital Government Research and Practice, September 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3696008.
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