A Revenue-based Slot Allocation and Pricing Framework for Multimodal Transport Networks
نویسندگان
چکیده
This paper analyses the operational integration between different multimodal transport services and proposes a slot allocation and pricing model for multimodal transport networks to maximize revenue and utilize capacity. The methodology entails a revenue-based optimal two-stage approach. Firstly, a slot allocation model is formulated by using stochastic integer programming for long-term contract market sale where the predetermined or negotiated price tariffs are used for regular orders. Secondly, a stochastic nonlinear programming is formulated to solve the slot allocation and dynamic pricing on short-term spot market sale for temporal as well as last-minute orders. Finally, a case study is provided to demonstrate an efficient and effective use of the proposed model.
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