A needs-based stated-response method to predict the impacts of new forms of travel

机译：一种基于需求的陈述-响应方法，用于预测新型旅行方式的影响

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This paper discusses a method to assess how people adjust their activity/travel patterns inresponse to changes in mobility options. Needs-based methods are employed in whichmultiple activity and travel episodes undertaken in service of a broader personal objective areanalyzed as a pattern of linked behavior.The empirical study investigated how people would adjust their grocery shopping patterns ifoffered a one-way-usage carsharing service. A stated-choice/stated-adaptation surveyinstrument is proposed.Substantive findings relating to the impacts of one-way carsharing are discussed, as are thebroader implications of viewing personal mobility behavior in this way.

机译：本文讨论了一种评估人们如何调整自己的活动/旅行方式的方法应对出行方式的变化。采用基于需求的方法，其中为实现更广泛的个人目标而进行的多种活动和旅行集分析为链接行为的一种模式。实证研究调查了人们如何在以下情况下调整杂货店购物模式：提供了一种单次使用的汽车共享服务。陈述选择/陈述适应性调查建议的仪器。讨论了与单向汽车共享影响有关的实质性发现，以及以这种方式查看个人流动行为的广泛含义。

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《Transportation Research Board Annual meeting》|2013年|1-22|共22页
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Scott Le Vine; Orestes Adamou; John Polak;
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stated-adaptation; carsharing; induced travel; physical activity;

机译：陈述适应;;拼车;诱导旅行;体力活动;

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1. Predicting new forms of activity/mobility patterns enabled by shared-mobility services through a needs-based stated-response method: Case study of grocery shopping [J] . Scott Le Vine, Orestes Adamou, John Polak Transport policy . 2014,第mara期

机译：通过基于需求的陈述-响应方法，预测由共享出行服务实现的新形式的活动/出行模式：杂货店购物案例研究
2. Assessing the impact of travel time formulations on the performance of spatially distributed travel time methods applied to hillslopes [J] . Zuazo Vicente, Gironas Jorge, Niemann Jeffrey D. Journal of Hydrology . 2014,第Pta2期

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3. Job Integration Factors As Predictors of Travel Nurse Job Performance A Mixed-Methods Study [J] . Tuttas Carol A. Journal of nursing care quality . 2015,第1期

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4. PREDICTIVE TRAVEL TIME METHODOLOGY FOR ADVANCED TRAVELLER INFORMATION SYSTEM [C] . O.Nizhnik, R.K.Pokharel, H.Kanaya, ITS for a better life . 2007

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机译：将加利福尼亚州的家庭旅行调查数据与收获的社交媒体信息相结合，形成一个自我验证的全州始发地 - 目的地旅行预测方法。

A needs-based stated-response method to predict the impacts of new forms of travel

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