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Can transport models predict effects of congestion charges?Ex-post evidence on forecast accuracy in Stockholm.

机译:运输模型可以预测交通拥堵收费的影响吗?事后证明斯德哥尔摩的预测准确性。

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This paper compares forecasted effects of the Stockholm congestion charges withactual outcomes. We show that the transport model was able to predict thecharges’ effects on travel demand reasonably well, but with someunderprediction of the effect on leisure trips. The most important concernsduring the design of the congestion charging scheme were traffic reduction inbottlenecks, increase in public transport ridership, decrease of vehicle kilometresin the city centre, and traffic effects on circumferential roads. All of these factorswere predicted well enough to allow planners to draw correct conclusionsregarding the design and preparations for the scheme. The one majorshortcoming was that the static assignment model was unable to predict thesubstantial effects on travel times. We conclude that the transport model workedwell enough to be useful as decision support, performing considerably betterthan (unaided) “experts’ judgment”, but that results must be interpreted takingthe model’s various limitations into account. The positive experiences from theStockholm congestion charges hence seem to be transferable to other cities in thesense that if a charging system is forecasted to have beneficial effects oncongestion, then this is most likely true.
机译:本文将斯德哥尔摩交通拥堵收费的预测影响与 实际结果。我们证明了运输模型能够预测 收费对差旅需求的影响相当不错,但有一些 对休闲旅行影响的预测不足。最重要的问题 在设计拥堵收费方案时减少了交通拥堵。 瓶颈,公共交通出行量增加,车辆公里数减少 在市中心,以及交通对周边道路的影响。所有这些因素 预测得足够好,以使计划者可以得出正确的结论 关于该计划的设计和准备。一专业 缺点是静态分配模型无法预测 对旅行时间有重大影响。我们得出结论,运输模型有效 足够好,可以用作决策支持,表现要好得多 比(专家)“专家的判断”要好,但必须以以下方式解释结果: 该模型的各种限制。从中获得的积极经验 因此,斯德哥尔摩的交通拥堵费似乎可以转移到该地区的其他城市。 感觉到,如果预测收费系统会对 拥塞,那么这很可能是正确的。

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