Capturing the Influence of Travel Behavior Factors on Energy Consumption - An Empirical Study

Authors

  • Wanqi Liu

DOI:

https://doi.org/10.54097/6smeaj04

Keywords:

Travel choices, energy consumption, clean energy, interventions, travel habits, travel preferences.

Abstract

The transportation sector is a major contributor to global energy consumption and is responsible for significant carbon emissions. Understanding the behavioral factors that influence travelers' energy choices is crucial. This study, through an examination of individual cognitive traits, explores the rationale behind energy consumption choices and their alignment with environmental objectives, providing a novel perspective on sustainable development. To investigate these dynamic relationships, a questionnaire was designed to collect data, and a multiple linear regression model was employed for statistical analysis to reveal the impact of personal preferences and habits on travelers' energy choices. The results indicate that individuals are aware of the relationship between higher carbon-emitting energy sources and lower costs, influencing their willingness to incur higher costs to transition to environmentally friendly energy sources. This willingness is also influenced by external factors such as peer recommendations, mode of transportation choices, and planning habits related to energy usage. Furthermore, the study provides policy recommendations for government interventions based on statistically significant variables to encourage cleaner energy usage behaviors. Future research in behavioral science can explore more effective intervention methods through the dissemination of energy-related information. This research contributes to the field of behavioral studies, particularly in the context of sustainable development within the transportation sector.

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Published

27-02-2024

How to Cite

Liu, W. (2024). Capturing the Influence of Travel Behavior Factors on Energy Consumption - An Empirical Study. Highlights in Science, Engineering and Technology, 83, 489-500. https://doi.org/10.54097/6smeaj04