Investigating the influential factors of public bicycle system and cyclist heterogeneity
| Autor: | Ching-Tien Chen, 陳敬典 |
|---|---|
| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 As environmental concern increases, public bicycle system (PBS) is becoming more and more popular worldwide. This research investigates interrelationships of factors influencing PBS. The research framework is constructed mainly based on theory of planned behavior (TPB) and technology acceptance model (TAM). The research framework is then analyzed with (1) partial least squares structural equation modeling (PLS-SEM) for exploring path relationships of influential factors of PBS, (2) partial least squares multi-group analysis (PLS-MGA) for elaborating observed heterogeneity, like city and gender, and (3) finite mixture partial least squares (FIMIX-PLS) for unobserved heterogeneity. To conduct the empirical study, we collected a sample of 520 respondents from Taipei and Taichung cities in Taiwan. The result shows: (1) Except for subjective norm, all factors drawn from TPB and TAM can exert influence and explain, either directly or indirectly, the effect on the behavior intention of using PBS, (2) Additional factors, such as habit, environmental concern, and satisfaction with PBS infrastructure, indicate positive effect on behavior intention of using PBS, (3) Heterogeneous analysis reveals that city and gender exert partial moderation effect, and two latent classes can be identified among cyclists. In the end, discussion and implications for future research are given. Highlights: ►Include TPB, TAM and some added relevant factors in the proposed research framework. ►Investigate the interrelationships among influential variables using PLS-SEM model. ►Elaborate observed heterogeneity caused by city and gender using PLS-MGA model. ►Explore unobserved heterogeneity of PBS cyclists, two latent classes, with FIMIX-PLS. ►Use FIMIX-PLS rather than traditional clustering that ignores path model relations. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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