透過您的圖書館登入
IP:3.143.228.40
  • 期刊

探討運具分群與旅客區隔之運具選擇模式

Investigating Mode Cluster and Traveler Segmentation in Mode Choice Models

摘要


本研究目的在於提出一整合性的模式架構以考量運具分群與旅客區隔。本研究首先透過巢式羅吉特模式針對方案間是否具有相似性進行探討,再利用方案合併以縮減選擇集合,最後構建混合羅吉特模式以考慮個體間異質性。實證對象為臺灣西部走廊的城際旅運行為,實證結果顯示公費旅次、學生、個人月所得與男性多人等社經旅次特性,可有效地區隔旅行成本與時間的異質效果,且旅行成本係數存在常態分配。考慮運具合併後之旅客區隔模式,在模式配適度與旅行時間價值估計上,皆顯著且合理地優於原始選擇集合所構建之運具選擇模式。

並列摘要


The purpose of this paper is to combine mode cluster and traveler segment with a integrated structure. Firstly, Nested Logit model was adopted to investigate the alternative similarity. Then a new choice set was redefined by merging those alternatives which were clustered in the same nest. Finally, Mixed logit models were constructed to consider individual heterogeneity. The empirical study focused on the intercity traveling in the western corridor of Taiwan. The result shows that those socioeconomic and trip characteristics (business trip, student, personal income, man group) have significant interactive effects on the both coefficients of travel cost and travel time. The random effect of normal distribution also exists in the coefficient of travel cost. The traveler-segment choice model with reduced choice set has better model fitness than the original choice set. In addtion, this model also obtains more reasonable estimation for value of time.

延伸閱讀