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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71239


    Title: 電動汽車共享之行為意向研究
    Authors: 奉筠庭;Feng,Yun-Ting
    Contributors: 土木工程學系
    Keywords: 電動汽車共享;計畫行為理論;偏最小平方法;異質性;Electric vehicle sharing service;Theory of planned behavior (TPB);Partial Least Squares Structural Equation Modeling (PLS-SEM);heterogeneity
    Date: 2016-08-29
    Issue Date: 2016-10-13 12:14:16 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 隨著共享經濟的崛起,在交通方式上以共享形式的汽車共享制度逐漸受到重視,世界各國開始積極推廣以電動車為主的汽車共享之服務。本研究旨在探討民眾使用電動汽車共享之行為意向,以計畫行為理論(theory of planned behavior, TPB)為基礎並加入知覺風險、個人創新特質、環保意識等影響因素,設計本研究框架。研究方法利用:(1)偏最小平方結構方程模式(partial least squares structural equation modeling, PLS-SEM)檢驗路徑關係;(2)偏最小平方多群組分析(partial least squares multi-group analysis, PLS-MGA)解釋可觀測異質性的調節效果;(3)有限混合偏最小平方(finite mixture partial least squares, FIMIX-PLS)探索不可觀測異質性。本研究於台北地區蒐集307個有效樣本,實證結果顯示:(1)計畫行為理論之因子均顯著影響行為意向;(2)在其他影響因素中,除知覺風險外,均會顯著影響行為意向。另外,個人創新特質與知覺風險並無顯著關係;(3)異質性分析結果中,性別與每星期使用汽車天數存在部分路徑的調節效果及辨別出樣本存有兩個潛在類別。最後基於分析結果提出研究結論與意涵。;With the rising of sharing economy, the form of car-sharing system has gradually taken seriously on transportation. Each country began to promote the electric vehicle sharing service (EV-Sharing) with actively in the world. The purpose of this research is to develop a practical method to enable the local government or the transportation authorities to understand users’ behavior intention and thus formulate management strategies. The research framework is constructed mainly based on Theory of Planned Behavior (TPB) and add the factors of perceived risk, personal innovativeness, environmental consciousness. The research framework is then analyzed with (1) Partial least squares structural equation modeling (PLS-SEM) for exploring path relationships of influential factors of using EV-Sharing, (2) Partial least squares multi-group analysis (PLS-MGA) for elaborating observed heterogeneity of moderating effect, and (3) Finite mixture partial least squares (FIMIX-PLS) for unobserved heterogeneity of moderating effect. To conduct the experiment, we collected a sample of 307 respondents from Taipei city in Taiwan. The result shows: (1) All factors from TPB have great impact on the behavior intention of using EV-Sharing, (2) The additional factors, expect for perceived risk, indicate significantly effect on behavior intention of using EV-Sharing. In addition, personal innovativeness is no significantly effect on perceived risk, (3) The result of heterogeneous analysis shows that gender and car usage have partial moderation effect, and two latent classes can be identified among the sample. Finally, conclusion and implications based on the analysis results.
    Appears in Collections:[土木工程研究所] 博碩士論文

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