MOOBI: Uma Proposta de Abordagem Baseada em Dados para Análise de Mobilidade Urbana em Cidades Inteligentes
Keywords:
Mobilidade Urbana, Cidades Inteligentes, Análise de Dados, Transporte PúblicoAbstract
Urban growth has intensified mobility challenges, demanding data-driven approaches for effective planning. This paper introduces MOOBI, a systematic framework for analyzing and optimizing urban mobility, validated through a case study in the Recife Metropolitan Region (RMR), Brazil. The methodology integrates multiple data sources and applies predictive models to identify high-risk areas. The results reveal a strong correlation between the degradation of road safety and the modal shift from public transport to private vehicles. As a primary contribution, the study proposes the expansion of exclusive bus lanes ("Faixa Azul") as a dual-impact policy, aiming to simultaneously improve safety and public transport efficiency.
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