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Stated Choice: A New Tool for Transportation Demand Forecasting

机译:有选择的选择:运输需求预测的新工具

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Federal and state highway congestion and clean air statutes look to transportation demand management (TDM) for solutions. TDM policies range from mode shift strategies and departure/ arrival time strategies, to strategies that alter the length of the work week and distribute work tasks to sites other than the conventional work location. Most of the strategies are relatively new and untested. Professionally certified look-Up tables and nomographs that show change in car ridership (analogous to ITE's Trip Generation) do not exist. Rough estimates of the effectiveness of parking management or rideshare incentive programs can be derived from case studies. However, many unique conditions surround the individual sites where the original data was taken; consequently transfer of these models to other sites is problematic.
机译:联邦和州的高速公路拥堵和清洁空气法规寻求运输需求管理(TDM)解决方案。 TDM策略的范围从模式转换策略和出发/到达时间策略,到改变工作周长度并将工作任务分配到常规工作位置以外的其他位置的策略。大多数策略都是相对较新且未经测试的。不存在经过专业认证的查询表和诺言图,这些图和诺言图不能显示乘车人数的变化(类似于ITE的Trip Generation)。可以从案例研究中得出停车管理或乘车奖励计划的有效性的粗略估计。但是,围绕原始数据的各个站点有许多独特的条件。因此,将这些模型转移到其他站点是有问题的。

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