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Individual trip rate transferability analysis based on a decision tree approach

机译:基于决策树方法的个人出行率可传递性分析

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Transferring trip rates to areas without local survey data is a common practice which is typically performed in an ad hoc fashion using household-based cross-classification tables. This paper applies a rule-based decision tree method to develop individual-level trip generation models for eight different trip purposes as defined in the US National Household Travel Survey in addition to daily vehicle miles traveled. For each trip purpose, the models are obtained by finding the best fitted statistical distribution to each of the final decision tree clusters while considering the correlation between the trip rates for other trip purposes. The rule-based models are sensitive to changes in demographics. The performance of the models is then tested and validated in a transferability application to the Phoenix Metropolitan Region. These models can be employed in a disaggregate microsimulation framework to generate trips with different purposes at the individual or household level.
机译:将旅行费率转移到没有本地调查数据的区域是一种常见做法,通常使用基于家庭的交叉分类表以临时方式进行。本文运用基于规则的决策树方法,为美国全国家庭出行调查中定义的八种不同出行目的,开发了个人级别出行生成模型,以及每日行进的车辆行驶里程。对于每个行程目的,通过找到针对每个最终决策树群集的最佳拟合统计分布,同时考虑其他行程目的的行程率之间的相关性来获得模型。基于规则的模型对人口统计变化敏感。然后在可转移性应用程序中将模型的性能进行测试和验证,并将其传递到凤凰城地区。这些模型可用于分解的微观模拟框架中,以在个人或家庭级别生成具有不同目的的旅行。

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