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Modeling on Mode Choice Behavior Based on Trip Chaining: A Case Study in Zhongshan City

机译:基于行程链的模式选择行为建模:以中山市为例

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A Multinomial logit model is adopted to analyze mode choice behavior based on household travel survey data in 2010 in Zhongshan, which is a medium city of Guangdong province in China. The total mode share includes walk, bicycle, e-bike, motorcycle, car and bus. Since travelers often chain multiple activities together in a trip chain for greater efficiency and convenience, the influence of trip chain on mode choice is considered in this research by classifying trips to single trip, simple trip chain and complex trip chain. The model estimation results show that trip chaining has significant effects on mode choice and travelers scheduling more activities in their trip chain are more likely to choose flexible modes such as automobile, motorcycle, e-bike, and bicycle. These findings have important implication in increasing public transportation service and improving activity-based modeling system.
机译:在中国中部城市广东省中山市,基于2010年家庭出行调查数据,采用多项式logit模型分析模式选择行为。总模式份额包括步行,自行车,电动自行车,摩托车,汽车和公共汽车。由于旅行者通常将多个活动链接在一个旅行链中以提高效率和便利性,因此在本研究中,通过将旅行分为单次旅行,简单旅行链和复杂旅行链来考虑旅行链对模式选择的影响。模型估计结果表明,旅行链对模式选择有显着影响,并且安排旅行链中更多活动的旅行者更有可能选择灵活的模式,例如汽车,摩托车,电动自行车和自行车。这些发现对增加公共交通服务和改进基于活动的建模系统具有重要意义。

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