更新方法、效用函數指定與數據型態對運具選擇模式更新之影響

Effects of Updating Method, Utility Function Specification, and Data Type on the Updating of Mode Choice Model

10.6402/TPJ.200112.0763

段良雄(Liang-Shyong Duann)；楊志文(Chih-Wen Yang)

多項羅機 ； 效用函數指定 ； 運具選擇 ； 模式更新 ； 選擇集合 ； Multinomial logit ； Utility function specification ； Mode choice ； Model updating ； Choice set

運輸計劃季刊

30卷4期（2001 / 12 / 30）

763 - 793

繁體中文

本研究利用多項羅機運具選擇模式探討更新方法、效用函數指定、與數據型態對模式更新的影響。所探討的更新方法有貝氏更新法、轉移尺度法、結合轉移估計法、及聯合內容估計法等四種。對這四種更新方法以不同的更新樣本數來更新模式，以求出良好更新模式所需之最小樣本數。效用函數指定除一般常用的線性模式外，另建立旅行服務水準變數為非線性與旅行時間變數之參數為常態分配之效用函數，來探討效用函數指定對模式更新之影響。在數據型態方面則探討敘述偏好數據從事模式更新的潛力以及選擇集合對模式更新的影響。

In this research we used multinomial logit mode choice model to discuss the effects of updating method, utility function specification, and data type on the updating of choice model. The updating methods included Bayesian updating, transfer scaling, combined transfer estimation, and joint context estimation. Different sample sizes were used in these methods to find the minimum sample size for each method. Linear utility function, non-linear utility junction, and randomly distributed parameter utility function were all specified to find the effect of utility function specification on the updating of model. The potential of stated preference data for model updating and the effect of choice set on model updating were also discussed.

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