题名

考慮異質性、相關性及內生性等不同組合潛在變數之選擇模式:以國道客運北高線為例

并列篇名

Latent Variable Choice Models Considering the Different Combinations of Heterogeneity, Correlation, and Endogeneity-A Case Study of Highway Bus Companies Serving the Taipei-Kaohsiung Route

DOI

10.6402/TPJ.200806.0165

作者

胡琬珮(Wan-Pei Hu)

关键词

異質性 ; 相關性 ; 內生性 ; 潛在變數選擇模式 ; 結構方程模式 ; Heterogeneity ; Correlation ; Endogeneity ; Latent variable choice model ; Structural equation model

期刊名称

運輸計劃季刊

卷期/出版年月

37卷2期(2008 / 06 / 30)

页次

165 - 195

内容语文

繁體中文

中文摘要

過去個體選擇模式考慮知覺與態度等不可觀測變數的方法,會有參數估計值不具一致性與有效性、指標無法直接影響決策、以及指標不適用於預測等問題。本研究的目的在於整合潛在變數與個體選擇模式,使參數估計值具有一致性與有效性,並增加模式的解釋能力,使政策變數之直接或間接影響更容易了解。研究對象為高雄至臺北路線之城際巴士客運旅客。實證結果顯示加入服務品質滿意度後,選擇模式的解釋能力大幅提升。旅客對各客運公司之便利滿意度與舒適娛樂滿意度會直接影響他們的選擇行為,便利滿意度之影響程度較舒適娛樂滿意度強。旅客的互動滿意度則透過便利滿意度與舒適娛樂滿意度間接影響他們的選擇行為。

英文摘要

In the past, the way that the discrete choice models treated the unobservable variables, such as perception and attitude variables, caused some problems. For example, the estimated parameters were not consistent or efficient, the index could not be used directly to affect the policies, and the index may not be suitable in the prediction. The purpose of this research is to integrate the latent variables with the discrete choice models to make estimated parameters more consistent and efficient, to increase the explanatory power of the choice models, and to make the direct or indirect effects of the policy variables more easily understood. The research subjects were the intercity bus travelers of Taipei-Kaohsiung route in Taiwan. The empirical results showed that the inclusion of satisfaction of service quality variable significantly improved the explanation power of the choice model. The results also showed that the satisfaction of the travelers toward the bus companies’ convenience of service, comfort, and entertainment will directly affect their choice behavior. The effect of convenience satisfaction was stronger than that of comfort and entertainment satisfaction. The passengers' interaction satisfaction indirectly affected their choice behavior through their convenience, comfort, and entertainment satisfaction.

主题分类 工程學 > 交通運輸工程
社會科學 > 管理學
参考文献
  1. 任維廉、呂堂榮(2004)。國道客運知覺之服務品質,滿意度與移轉障礙對其行為意向之影響。運輸計劃季刊,33(2),421-448。
    連結:
  2. 任維廉、董士偉、呂堂榮(2005)。服務場景與等候經驗對國道客運乘客行為意向與選擇行為之影響。運輸計劃季刊,34(3),413-442。
    連結:
  3. 楊志文、段良雄(2004)。考慮選擇集合與異質性之個體城際客運選擇模式。運輸計劃季刊,33(2),391-420。
    連結:
  4. Aptech Systems, Inc.(2002).GAUSS 4.0.Washington:Aptech Systems, Inc., Maple Valley.
  5. Arbucke, J. L.,Wothke, W.(1999).Amos 4.0 User`s Guide.Chicago:Small Waters Corporation.
  6. Ashok, K.,Dillon, W. R.,Yuan, S.(2002).Extending Discrete Choice Models to Incorporate Attitudinal and Other Latent Variables.Journal of Marketing Research,39,31-46.
  7. Bhat, C. R.(2000).Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling.Transportation Science,34(2),228-238.
  8. Bhat, C. R.(1998).Accommodating Variations in Responsiveness to Level-of-Service Measures in Travel Mode Choice Modeling.Transportation Research Part A,32,495-507.
  9. Bhat, C.R.(2001).Quasi-random Maximum Simulated Likelihood Estimation of the Mixed Multinomial Logit Model.Transportation Research B,35,677-693.
  10. Elrod, T.,Keane, M. P.(1995).A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data.Journal of Marketing Research,32,1-16.
  11. Fornell, C.,Larcker, D.(1981).Evaluating Structural Equation Models with Unobservable Variables and Measurement Errors.Journal of Marketing Research,18(1),39-50.
  12. Gopinath, D. A.(1995).Department of Civil and Environmental Engineering, Massachusetts Institute of Technology.
  13. Green, P. E.(1984).Hybrid Models for Conjoint Analysis: An Expository Review.Journal of Marketing Research,21,155-169.
  14. Hair, J. E.,Rolph, E.,Ronald, L. T.,William, C. B.(1998).Multivariate Data Analysis.Engelwood Cliffs, NJ:Prentice-Hall.
  15. Harris, K. M.,Keane, M. P.(1998).A Model of Health Plan Choice: Inferring Preferences and Perceptions from a Combination of Revealed Preference and Attitudinal Data.Journal of Econometrics,89,131-157.
  16. Keane, M. P.(1997).Modeling Heterogeneity and State Dependence in Consumer Choice Behavior.Journal of Business and Economic Statistics,15(3),310-327.
  17. Madanat, S. M.,Yang, C. Y.,Yen, Y. M.(1995).Analysis of Stated Route Diversion Intentions under Advanced Traveler Information Systems Using Latent Variable Modeling.Transportation Research Records,1485,10-17.
  18. McFadden, D.,Train, K.(2000).Mixed MNL Models for Discrete Response.Journal of Applied Econometrics,15(5),447-470.
  19. Morikawa, T.,Ben-Akiva, M.,McFadden, D.(2002).Discrete Choice Models Incorporating Revealed Preferences and Psychometric Data.Econometric Models in Marketing,16,27-53.
  20. Train, K.(2003).Discrete Choice Method with Simulation.Cambridge:Cambridge University Press.
  21. Walker, J. L.(2001).Department of Civil and Environmental Engineering, Massachusetts Institute of Technology.
  22. Walker, J.,Ben-Akiva, M.(2002).Generalized Random Utility Model.Mathematical Social Sciences,43,303-343.
  23. 邱皓政(2003)。結構方程模式。臺北:雙葉書廊有限公司。
  24. 胡凱傑(2003)。博士論文(博士論文)。國立交通大學運輸科技與管理學系。
  25. 胡凱傑、任維廉(2003)。線性結構關係與類神經網路在旅客行為意向之應用與比較:以國道客運業為例。中華民國運輸學會第18屆論文研討會
  26. 陳順宇(2007)。多變量分析。臺北:華泰書局。
被引用次数
  1. 賴文泰(2011)。不同大眾運輸供給地區旅運者之大眾運具使用行為分析。運輸計劃季刊,40(3),287-308。