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DYNAMIC DEMAND FORECAST AND ASSIGNMENT MODEL FOR BIKE-AND-RIDE SYSTEM

机译：自行车骑行系统的动态需求预测与分配模型

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摘要

Bike-and-Ride (B&R) has long been considered as an effective way to deal with urbanization-related issues such as traffic congestion, emissions, equality, etc. Although there are some studies focused on the B&R demand forecast, the influencing factors from previous studies have been excluded from those forecasting methods. To fill this gap, this paper proposes a new B&R demand forecast model considering the influencing factors as dynamic rather than fixed ones to reach higher forecasting accuracy. This model is tested in a theoretical network to validate the feasibility and effectiveness and the results show that the generalised cost does have an effect on the demand for the B&R system.
机译：长期以来，单车骑行（B＆R）被认为是解决与城市化相关的问题（如交通拥堵，排放，平等等）的有效方法。尽管有一些研究着眼于B＆R需求预测，但来自B＆R的影响因素先前的研究已从那些预测方法中排除。为了填补这一空白，本文提出了一种新的“一带一路”需求预测模型，将影响因素视为动态因素而不是固定因素，以达到更高的预测准确性。该模型在理论网络中进行了测试，以验证可行性和有效性，结果表明，广义成本确实会影响B＆R系统的需求。

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