Factors Influencing Electric Motorcycle Adoption: A Logit Model Analysis

Abstract

This research investigates the factors influencing the adoption of electric motorcycles in Indonesia. The background of the study lies in the growing interest in sustainable transportation and the potential of electric motorcycles as an eco-friendly alternative. The objective is to understand the impact of travel behavior and knowledge levels on the choice of motorcycles. The research utilizes a logit model to analyze the relationship between independent variables (knowledge levels and travel behavior) and the dependent variable (choice of motorcycles). The findings reveal that travel behavior, such as the usual commute mode and the number of weekend trips for hybrid electric motorcycles, significantly influence adoption. Additionally, knowledge factors like maintenance and charging costs play an essential role. These findings contribute to a better understanding of the decision-making process behind adopting electric motorcycles and provide insights for policymakers and manufacturers to promote the adoption of electric motorcycles in Indonesia.