Hongyu Zheng , Jiayang Li , Jane Lin , Yu (Marco) Nie
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引用次数: 0
Abstract
Using a game theoretic approach, this paper explores a futuristic passenger-freight co-modality system that leverages autonomous modular vehicle (AMV) technology. In our model, a transit operator and a freight carrier operate within a stylized city, transporting passengers and parcels, respectively. The freight carrier can rent the transit operator’s underutilized transport capacity during off-peak periods through a market mechanism. By analyzing the design problems of both the operator and the carrier, we characterize their willingness-to-trade function, which defines the feasible region for a two-player game. We formulate four distinct market mechanisms, each corresponding to a different type of game. The first two are leader–follower Stackelberg games, differing in which player assumes the leadership role. The third mechanism features iterative negotiation between both players until equilibrium is achieved, while the fourth assumes full cooperation. Our results indicate that in the Stackelberg games, the leader captures all the benefits of co-modality, whereas neither player benefits in the negotiation game. Moreover, the carrier-led Stackelberg game proves more efficient than the operator-led one. Finally, while regulatory interventions such as price caps can promote a more equitable benefit distribution in the Stackelberg framework, similar outcomes are attainable without intervention in the cooperative game.
期刊介绍:
Transportation Research: Part B publishes papers on all methodological aspects of the subject, particularly those that require mathematical analysis. The general theme of the journal is the development and solution of problems that are adequately motivated to deal with important aspects of the design and/or analysis of transportation systems. Areas covered include: traffic flow; design and analysis of transportation networks; control and scheduling; optimization; queuing theory; logistics; supply chains; development and application of statistical, econometric and mathematical models to address transportation problems; cost models; pricing and/or investment; traveler or shipper behavior; cost-benefit methodologies.