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Adaptation of Private Car Use in Response to Travel Demand Management Measures: Potential Roles of Intelligent Transportation Systems

机译:适应旅行需求管理措施的私家车使用:智能交通系统的潜在作用

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摘要

Travel demand management (TDM) measures targeting changed or reduced private car use in urban areas prompt individuals and households to choose more efficient car use (chaining trips, car pooling, choosing closer destinations), to suppress trips and activities, or to switch travel mode. We conjecture that these choices are made sequentially over time according to a cost-minimization principle. In general, less cosily changes may however be less effective. Several potential ways are proposed in which intelligent transportation systems may reduce the costs of changes or reduction in car use, thus presumably rendering TDM measures more effective.
机译:针对城市地区私家车使用量变化或减少的旅行需求管理(TDM)措施会促使个人和家庭选择更高效的汽车使用方式(连锁旅行,汽车集中,选择较近的目的地),抑制旅行和活动或切换旅行模式。我们推测这些选择是根据成本最小化原则随时间顺序进行的。通常,较少的舒适变化可能不太有效。提出了几种潜在的方式,其中智能交通系统可以减少更改或减少汽车使用的成本,从而可以使TDM措施更加有效。

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