Banca de DEFESA: Leonardo de Oliveira Santana

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Leonardo de Oliveira Santana
DATE: 21/06/2024
TIME: 10:00
LOCAL: Apresentação remota (Microsoft Teams)
TITLE:

PARAMETRIC COST ESTIMATION FOR CONSTRUCTION OF RUNWAYS

KEY WORDS:

Runway, Parametric Estimation, Multiple Linear Regression, Feasibility Assessment.

PAGES: 88
BIG AREA: Engenharias
AREA: Engenharia de Transportes
SUMMARY:

This study proposes the development of a parametric model to predict the costs of constructing or expanding a key element of airport infrastructure, notably the runway. Initially, the strategic importance of airports for economic and social development is highlighted, especially in the Brazilian context, where private management has become increasingly relevant. Additionally, the uniqueness of this word is emphasized, as it addresses the complexities of airport infrastructure in a specialized manner, filling a gap in the literature due to the need for specificity in studies in this field combined with the confidential nature of the costs involved. Furthermore, the importance of accurate cost estimates is discussed, emphasizing their influence on managerial decisions and the viability of airport infrastructure projects. For the development of the model, the parametric method was chosen due to its comparative advantages over other methodologies, particularly its potential simplicity and transparency. Using multiple linear regression technique, models are developed considering variables such as runway area, pavement classification, and airport location. The costs associated with runway construction and expansion were obtained from data provided by the Brazilian airport management state agency (INFRAERO) and budgets from Technical, Economic, and Environmental Feasibility Studies for the Brazilian airport concessions program. It is worth noting that these data are often unconsolidated, incomplete, or not applicable, requiring extensive and careful analysis in the process of data treatment and information selection. The study results demonstrate the effectiveness and feasibility of the proposed models in predicting the costs involved in the construction or expansion of runways, with coefficients of determination (R²) above 0.9 for some cases. However, some specific services, such as earthworks and signaling, faced significant challenges in their modeling, mainly due to the limitation of available data. The contribution of this study to the understanding and improvement of airport infrastructure management and development is significant.

COMMITTEE MEMBERS:
Externa à Instituição - VIVIANE ADRIANO FALCÃO - UFPE
Interno - 1548557 - FABIO ZANCHETTA
Presidente - ***.680.953-** - FRANCISCO GILDEMIR FERREIRA DA SILVA - UFC
Interno - 1734235 - REINALDO CRISPINIANO GARCIA