Behavioral Antecedents of Fuel Efficiency

Abstract

The US Department of Defense is the largest institutional petroleum consumer in the world. In addition to the financial cost of petroleum-based fuels, the US DoD generates more CO2-equivalent greenhouse gases than the entirety of modern, industrialized nations like Sweden and Norway. Other dangers and externalities arise from the fuels supply chain, like toxin risks to fuel handlers, and human costs to transport fuel in-theater. Within the DoD, the USAF alone often rivals or exceeds the consumption of all other services combined. While the USAF prefers technical, hardware-based solutions to problems, and has given increasing attention to logistical solutions like route planning and aircraft mix optimization, very little research both in and out of the military looks into the impact of human decision making on fuel consumption. Industrial/organizational psychology, or IO Psych, is a growing field in the civilian world. This project applies IO psychometric measurements to investigate the variability within fuel consumption stemming from the choices that human operators make. Three studies are presented, revolving around this common theme. This study begins from the Theory of Planned Behavior (TPB), a behavioral science model emphasizing the kind of deliberate, informed decision making expected of our target population of USAF cargo airlift pilots. A meta-analysis of 40 independent, peer-reviewed studies indicates the TPB model strongly predicts fuel-efficient behavior. A study adapting Maj. Cotton's 2016 AFIT Master's Degree research to civilian drivers supports the meta-analytical findings. Finally, the survey instrument was applied to a population of 62 active duty, reserve, and Guard cargo airlift pilots flying the C-130, C-17, and C-5 platforms. The pilots' responses were compared against a measure of fuel consumption corrected for change to cargo weight. The results of this study indicate something quite different than either of the two previous studies.

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Document Details

Document Type
Technical Report
Publication Date
Mar 09, 2020
Accession Number
AD1110824

Entities

People

  • James A. Iii Cotton

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Aircrafts
  • Behavioral Sciences
  • Business Administration
  • Climate Change
  • Computational Science
  • Energy Consumption
  • Environment
  • Fuel Consumption
  • Fuel Efficiency
  • Human Behavior
  • Organizational Structure
  • Passengers
  • Psychology
  • Social Psychology
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Economics
  • Petroleum Engineering