Factors influencing adoption and usage probability of car sharing in Bangkok

Abstract

This thesis aimed to examine factors influencing adoption and usage probability of car sharing in Bangkok. There were two phases of study. The first phase was examining the factors influencing the probability of using of car sharing. The latter was designed to assess customers’ attitudes toward the intention to use car sharing. Both studies employed a quantitative method of data collection and analysis.

Study One assessed the likelihood of using car sharing from customers’ characteristics in three main groups: socio-economic status, travel behavior and car-sharing preferences. The data were collected through a questionnaire with the target population group. In total, there were 612 observations. Then, the data were analyzed using descriptive statistics and multiple linear regression analysis under the concept of logistic regression. Through multiple linear regression analysis, the results indicated that the respondents’ socio-economic status did not affect the probability of car-sharing adoption. However, travel behavior and car-sharing preferences affected the probability of car-sharing adoption.

Study Two investigated latent attitudes influencing the users’ intention to use car sharing. This study utilized an extended technology acceptance framework with four external variables: personal innovativeness (PI), environmental concern (EC), social influence (SI) and perceived risk (PR). Similarly, the survey was conducted to collect the data from target population group. In total, 505 participants completed the questionnaire. Confirmatory factor analysis (CFA) and structural equation model (SEM) techniques were adopted for data analysis. The results did not confirm the original TAM since a relationship was not found between perceived ease of use (PEOU) and attitude toward car sharing (ATT). However, the results supported that all four external variables influenced the intention to use car sharing.