Banca de QUALIFICAÇÃO: Iasmin de Sousa Jaime

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : Iasmin de Sousa Jaime
DATE: 09/05/2024
TIME: 16:00
LOCAL: Videoconferência - https://www.ppgfau.unb.br/component/agenda/agendas
TITLE:

CITY INFORMATION MODELING: A COLLABORATIVE MODEL FOR URBAN GOVERNANCE PROCESSES

KEY WORDS:

City Information Modeling, Urban Governance, CIM

PAGES: 162
BIG AREA: Ciências Sociais Aplicadas
AREA: Arquitetura e Urbanismo
SUMMARY:

The rapid evolution of urban information systems and the growth of cities have made urban environments extremely complex, and the large amounts of data directly impact the sociospatial structure of these cities. Emerging changes in technology offer a myriad of opportunities, including the emergence of new paradigms such as City Information Modeling (CIM). Urban Information Systems are effective solutions for urban management, mainly aimed at devising strategies to tackle the challenges of urban planning by establishing indicators that enable cities to achieve sustainable development. This thesis project presents preliminary results of a doctoral research developed through the Design Science Research method, which explores the development of a conceptual framework of CIM models and discusses application solutions of these information models for urban analysis, urban governance, and intelligent urban management processes. A bibliographic scan of published articles was conducted, and protocols were developed for a systematic review, aiming to identify artifacts present in the literature that support the development of CIM model construction, as well as their utilization in urban governance processes. In this research, the focus is on investigating City Information Modeling (CIM) as a central approach to understanding how the use of information modeling technologies and data organization can aid in urban governance processes. This involves a range of interrelated aspects, from planning decisions to the development of policies aimed at promoting more sustainable, resilient, inclusive, and intelligent cities. This study posited that the incorporation of CIM into urban governance could drive the evolution of cities towards intelligent, resilient, and sustainable urban ecosystems. This would be achieved through advanced real-time urban data analysis, three-dimensional city modeling, and the adoption of data-driven decisionmaking strategies. These measures would promote significant improvements in efficiency, quality of life for urban inhabitants, and resilience of metropolitan areas. The integration of computational tools into urban management aims to offer various contributions to the urban planning process, with a special focus on the diagnosis and conception of urban spaces. However, it is noted that most applications of three-dimensional digital city models still primarily focus on the representation of these models. The result still points to conceptual ambiguities of the term "City Information Modeling" and the latent difficulties in using these technologies for intelligent urban governance. This doctoral thesis proposes a collaboration model for urban governance processes centered on CIM. By analyzing and synthesizing the challenges faced by urban governance processes, this research provides a conceptual framework to promote collaboration among urban agents. In this context, the advancement of innovative technologies and processes has enabled the emergence of additional computational resources, assisting in solving complex challenges related to the effectiveness of urban planning. With the progress of 3D modeling technologies and the increased availability of geospatial data, 3D digital models of cities have become an indispensable tool for urban planning, resource management, and decision-making. In this scenario, a protocol was developed to establish a systematic process for the development of the case study, focusing on the identification of parameters and data for each existing model. The comprehensive and integrated digital approach to the city aims to support urban planning, management, and decision-making. Urban diagnosis and analysis are essential steps in understanding the urban context and identifying requirements and objectives for CIM development. This is especially important for creating a 3D Urban Digital Inventory Model (CIM).

COMMITTEE MEMBERS:
Externo à Instituição - GUSTAVO GARCIA DO AMARAL - UFG
Externo ao Programa - 1752368 - ANTONIO CARLOS DE OLIVEIRA MIRANDA - nullExterno à Instituição - Alexandre Schirmer Kieling - UCB
Interno - 1286550 - NEANDER FURTADO SILVA
Presidente - 2141257 - RAQUEL NAVES BLUMENSCHEIN