According to the activity-based travel demand forecasting concept and modeling, a full-day activity pattern model was developed.
根据基于活动的出行需求预测思想和建模方法建立了日活动计划模型。
Both the application and model comparison showed the models established in this thesis had great value in the areas of travel behavior analysis and travel demand forecasting.
理论和应用研究均表明，本论文构建的模型系统在交通行为分析和需求预测方面具有更加强大的行为解释和实际应用能力。
When a new traffic mode is introduced into current transportation system, the conventional travel demand forecasting method based on revealed preference data will be useless for modal split.
当交通系统中引入新的交通方式时，传统的基于实绩选择调查数据的交通需求预测方法对于方式分担预测将会无效。
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