Incorporation of Causal Factors Affecting Pilot Motivation for Improvement of Airport Runway and Exit Design Modeling

This research aims to improve the design and placement of runway exits at airports through analysis and modeling of the effects that exogenous causal factors have on pilots' landing behavior and exit selections. Incorporating these factors into modeling software will strengthen the software's utility by providing project teams the ability to specify which pilot motivational causal factors apply to a new or existing runway. The main findings suggest pilots' exit selections are deterministic but dependent on the presence (or absence) of six (6) causal factors. A model and two (2) case studies are presented and compared against predictions generated by existing modeling software. The results support a finding that the causal factor model improves motivation-based predictions over current modeling techniques, which are drawn from stochastic distributions. The accuracy of this model enables designers to optimize runway exit placement and geometry to maximize runway capacity.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Civil Engineering

Department dc:contributor.department

Civil and Environmental Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2022

Author dc:creator

• Olamai, Afshin

Chair dc:contributor.committeechair

• Trani, Antonio A.

Committee members dc:contributor.committeemember

• Hotle, Susan
• Heaslip, Kevin Patrick

• Pilot
• Pilot Motivation
• Airport
• Aircraft
• Runway
• Exit
• Engineering Design
• REDIM
• ASDE-X
• Causal Model
• Structural Equation Model
• Generalized Common Factor Analysis Method
• Hadamard Product

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:35480

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/112197