Motivations of Automobile and Motorcycle Usage and Their Comparisons

• Main Authors: Lai, Chi-Yen, 賴祈延
• Other Authors: Chang, Hsin-Li
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/75492058755739961359

博士 === 國立交通大學 === 運輸與物流管理學系 === 103 === This study introduces self-determination theory (SDT) to refine previous theories of vehicle usage motivations. Besides, travel socialization theory regarding parental influence on vehicle usage was applied to enhance previous structural models describing vehicle usage behavior. For further discussing vehicle usage, this research constructed an extended model is based on in view of combination of individual motivations and parents’ influence. This newly developed model was empirically verified in samples of 440 automobile and 721 motorcycle users in Taiwan. Beside to assure the validity of the developed structural model, factors to affect the value of each latent variable were also explored and explained. In addition to instrumental, symbolic, and affective motivations, perceived parental attitudes toward automobile/motorcycle using were found to have significant effects on individuals’ automobile/motorcycle use habits, which each factor would affect differently on automobile/motorcycle usage. Additionally, two group of participants who perceived their parents to have more positive attitudes toward private modes were both found to have more experience being chauffeured on automobiles/motorcycles by their parents. A further investigation reveals that experience of being chauffeured by private mode, gender, and age would influence individual motivations. Possible reasons for various values of each latent variable have been discussed and suggestions are provided in this study. These results could understand private vehicle usage and provide the guidance for the policy making of transportation management. Furthermore, transportation professionals who are seeking solutions to confront the challenges brought on by the rapid growth of automobile and motorcycle usage may find possible direction for traffic management.