Scalable GEH: A Quality Measure for Comparing Observed and Modeled Single Values in a Travel Demand Model Validation
Scalable GEH: A Quality Measure for Comparing Observed and Modeled Single Values in a Travel Demand Model Validation
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DOI：
10.1177/0361198119838849
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发表时间：
2019-03
影响因子：
1.7
通讯作者：
Markus Friedrich;Eric Pestel;C. Schiller;Robert Simon
中科院分区：
文献类型：
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作者：
Markus Friedrich;Eric Pestel;C. Schiller;Robert Simon
为了验证出行需求模型的有效性，必须对观测值和模型值之间的偏差进行量化，并通过适当的质量度量进行评估。观测值和建模值的比较可以指单个值、单个值的集合和值的分布。本文着重于比较对单值与具体参考的质量措施GEH（命名后杰弗里E。Havers，他在20世纪70年代将其引入交通规划目的），这在英国指南WebTAG中使用。本文介绍了理想的GEH和有问题的属性，并探讨它是如何与正态分布。为了克服GEH的局限性，开发了一种替代质量测量方法，可以对其进行缩放，以验证代表每小时或每日交通量、每人每日出行次数或每个出行目的的出行距离的不同值范围。最后，本文提出了一个建议，验证单一的价值观。
For proving the validity of a travel demand model, the deviations between observed values and modeled values must be quantified and evaluated by suitable quality measures. The comparison of observed and modeled values can refer to single values, sets of single values, and distributions of values. The paper focuses on comparing pairs of single values with specific reference to the quality measure GEH (named after Geoffrey E. Havers, who introduced it for traffic planning purposes in the 1970s), which is used in the British guidelines WebTAG. The paper describes desirable and problematic properties of the GEH and examines how it is related to normal distribution. With the objective of overcoming the limitations of the GEH an alternative quality measure was developed, which can be scaled to validate different value ranges representing hourly or daily traffic volumes, daily number of trips per person, or trip distances per trip purpose. The paper concludes with a proposal for validating single values.