An Efficient Modeling Approach on Passenger Demand with Fare in Shared Taxis: A Case Study of Sanjo City, Japan

抄録

This paper formulates a nonlinear shared taxi model of the ridesharing sharing money considering the passengers' benefits and drivers. The model explores the concept of a shared taxi to minimize the total trip fare of passengers and the number of taxis utilized while maximizing customer satisfaction, thereby increasing the taxi demand and driver’s income. The problem solves the Branch and Cut algorithm employed for estimating the parameters. The computational results obtained by the Gurobi solver show that the proposed mathematical model can find the shortest route of taxi routing decisions that can minimize the customers' total trip cost. This study is shown, based on real taxi valid data for the Sanjo city, Japan. Moreover, it evaluates the effect of various taxi-sharing practices, e.g., waiting time and fare decrease. Furthermore, the sensitivity of significant parameters such as time window, initial fare, and travel distance in the fixed fare is analyzed.