City information modeling em áreas de vulnerabilidade urbana: concepção de um framework para o monitoramento contínuo de umidade do solo com aplicação em vila urbana de Belo Horizonte

Abstract

The increasing urbanization imposes complex and urgent challenges related to efficient city management. The need for new approaches that integrate technologies and information for effective, predictive, and evidence-based management and planning is becoming increasingly evident. In this context, parametric three-dimensional modeling emerges as a technological and innovative response to the complex demands of the systems comprising the entire city information network. The methodology of City Information Modeling, through the integration of Geographic Information System, Building Information Modeling, and Internet of Things, aims to provide a holistic view of the city using advanced digital tools. This approach allows for a deeper analysis of urban data and a comprehensive understanding of the impacts of decision-making, emerging as a promising field to address these challenges. The main objective of this study is to develop a framework for implementing city information modeling in vulnerable urban contexts, capable of promoting effective municipal planning and management aligned with the specific needs of these communities. Within the scope of this study, the aim was to fill the existing gap in the conception of this framework in such contexts, implementing it in a neighborhood of the Tirol area, in the city of Belo Horizonte, Minas Gerais. This area is characterized by complex urban issues, intrinsically linked to ongoing infrastructure challenges. This study adopted the methodological procedures of Design Science Research, which guided the stages of awareness, suggestion, development, evaluation, and conclusion of the proposed artifact. The key contributions of the research include the development of a CIM framework tailored for monitoring urban conditions, featuring the integration of moisture sensors with Autodesk Tandem. This setup enables continuous and real-time monitoring of soil conditions. Consequently, it is understood that the studied technologies have the potential to positively transform urban planning in vulnerable areas by facilitating decision-making and promoting a more adaptive development of contemporary governance, with a particular emphasis on predictive management.