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Institute of Transportation, MOTC

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Trans. Planning Journal

Title Modeling Mode Choice Behaviors by Using Mixed Logit Models
Author Yu-Chiun Chiou, Chieh-Hua Wen, Wei-Ying Chen, Mu-Han Wang, Chiang Fu, Hsing-Min Tseng and Yu-Shiuan Lin
Summary   Due to the high dependency on private vehicles of travellers in Taiwan, the traffic conditions in many surface roadway systems are rather congested with serious problems of energy consumption and emissions. To promote the usage of public transportation is undoubtedly the one of the most effective countermeasures. Additionally, to acknowledge the remarkably different service levels of public transportation and different convenient levels in using private vehicles in different residential areas, significant differences must exist in their mode choice preferences and decisions. Thus, the heterogeneity of mode choice behaviors should be analyzed. Accordingly, this study separately develops the mode choice models for those travellers living in the districts/townships with different levels of population density by using mixed logit models (MXL). The estimation results show that MXL models for three groups perform significantly better than multinomial logit models in terms of likelihood ratio tests, suggesting the existence of heterogeneity in mode choice behaviors. Finally, elasticity analysis and marketing share prediction are conducted to identify the key factors for promoting public transportation. Corresponding marketing and improvement strategies for public transportation are then proposed accordingly.
Vol. 43
No. 2
Page 143
Year 2014
Month 6
Count Views:388