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首页> 外文期刊>Promet-traffic & transportation >ORDERED GENERALIZED EXTREME VALUE MODEL AS A TOOL FOR DEMAND MODELLING OF DISCRETIONARY TRIPS
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ORDERED GENERALIZED EXTREME VALUE MODEL AS A TOOL FOR DEMAND MODELLING OF DISCRETIONARY TRIPS

机译：订购的广义极值模型作为可自由判断的需求建模工具

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摘要

Although the four-step model is the most common method in transportation demand modelling, it is exposed to a considerable criticism in terms of representing the actual choice behaviours of travellers. For example, the four steps are presented in a fixed sequence and independently from each other. Such assumption may be correct in case of obligatory trips (e.g. work trips) where travellers 'behaviour has usually no effect on trip generation or trip distribution stages. However, in discretionary trips, they may simultaneously decide on various trip dimensions. This paper tries to overcome the limitations of traditional four-step model associated with discretionary trips by using a joint discrete choice modelling approach that represents destination, departure time and travel mode choices under a unified framework The proposed model to be used is the Ordered Generalized Extreme Value model where potential spatial correlation among discretionary destinations can be considered as well. The research methodology has been tested by using shopping and entertainment trips data of Eskisehir city in Turkey. The proposed framework seemed to be more effective and offered an accurate alternative to the first three stages of the traditional four-step model in a setting with a limited number of discretionary destinations.
机译：虽然四步模型是运输需求建模中最常见的方法，但在代表旅行者的实际选择行为方面暴露在相当大的批评。例如，四个步骤以固定序列呈现并彼此独立地呈现。如果有必要的旅行（例如，工作跳闸），这种假设可能是正确的，旅行者行为通常对旅行生成或行程分配阶段没有影响。但是，在酌情之旅中，他们可以同时决定各种跳闸尺寸。本文试图通过使用表示目的地，出发时间和旅行模式选择的联合离散选择建模方法来克服传统四步模型的局限性，该方法在统一的框架下代表目的地，出发时间和旅行模式选择，所以要使用的建议模型是有序的广义极端可以考虑酌情自由目的地之间存在空间相关的价值模型。通过使用土耳其Eskisehir City的购物和娱乐旅行数据来测试研究方法。拟议的框架似乎更有效，并在具有有限数量的自由裁量目的地的环境中提供了传统四步模型的前三个阶段的准确替代方案。

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