Análise de fatores humanos e organizacionais relacionados ao procedimento de frenagem de aeronaves em condições ambientais desfavoráveis / Analysis of human and organizational factors related to aircraft braking procedure in unfavorable environmental conditions

Este artigo identifica e prioriza os principais fatores contribuintes relacionados ao procedimento de frenagem que ocorrem durante pouso de aeronaves comerciais de médio e grande porte. A literatura disponível e a pesquisa com especialistas indicam que as condições adversas durante o procedimento de frenagem ocorre principalmente quando há condições ambientais desfavoráveis e/ou quando a pista do aeroporto é desfavorável ao pouso. Com o objetivo de identificar os principais fatores humanos, organizacionais, aeroportuários e ambientais que influenciam o procedimento de frenagem, foram analisados os relatórios de acidentes e incidentes da base de dados do National Transportation Safety Board (NTSB) entre 2005 e 2015. Os fatores identificados foram analisados utilizando um modelo de acidente e priorizados de acordo com a probabilidade de ocorrência obtida através da Rede Bayesiana. Assim, os resultados obtidos permitem a seleção dos fatores que devem ser priorizados pelos órgãos competentes, a fim de colaborar com a gestão da segurança no transporte aéreo e reduzir as excursões de pista durante o procedimento de pouso dessas aeronaves. A metodologia utilizada e os resultados encontrados são as principais contribuições deste estudo

Comparing Enhanced Models for Evaluating the Economic Impact of Airports

Evaluating the economic impact of airports is crucial for understanding the benefits they bring to a region. However, when an area has more than one airport, it becomes essential to analyze each airport’s contribution to the local economy to make informed investment and policy decisions. Thus, studying economic models that can distinguish each airport’s impact on the region’s economy becomes essential. In this context, this paper aims to compare three different approaches to determine the economic contributions of airports in a given region and identify their social and economic benefits. The International Civil Aviation Organization recommends using input–output analysis in this context. The study considered three weight factors for the input–output basic model: circular buffer, displacement time, and Huff’s gravitational model. The analysis was performed using the three largest airports in São Paulo state, Brazil, due to their proximity and influence on the surrounding areas. The models were compared based on their efficiency and accuracy in reflecting the reality of the case study context. The study identified the most suitable model for establishing correlations between investments made in airport infrastructure and the generation of gross domestic product, employment, and added value. This study fills a gap in the existing literature by proposing improvements to the methods for evaluating airports’ economic and social benefits. In recent times, airport investors, both in the government and private sectors, have become increasingly demanding in their need for accurate analyses before making investments. Therefore, the results of this paper will provide valuable insights into the benefits of investing in airport infrastructure and help policymakers and investors make informed decisions