01624752

Component

Traffic congestion is a growing problem in many metropolitan areas, especially in some megacities (Beijing, China, for example). Stuck in congested traffic, the mileage per unit time that a taxicab travels declines significantly, and hence the waiting price becomes increasingly important for a taxi driver’s income in congested cities. In this paper, the authors developed a taxi price equilibrium model with the waiting price and explored its adjustment mechanism on optimizing the taxi driver’s income, balancing the supply and the demand in the taxi market, and eventually improving the service level of taxi market. A case study was provided using the taxi fare structure currently in use in Beijing to demonstrate the feasibility of this proposed model. The results indicate that the current taxi price scheme in Beijing is not an optimal one, since it makes the travel demand for taxi drop significantly by 46.1% and the income as well by 24.6%. The gains from the raise of waiting price cannot compensate the loss from the reduction of the demand.

This paper was sponsored by TRB committee ABE30 Standing Committee on Transportation Issues in Major Cities. Alternate title: A Taxi Price Equilibrium Model with Waiting Price for Congested Cities: Beijing Case Study

01618707

17-03431

English

20p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Demand; Economic models; Equilibrium (Economics); Fares; Income; Level of service; Metropolitan areas; Optimization; Supply; Taxi services; Taxicab drivers; Taxicabs; Traffic congestion; Waiting time

Megacities

Beijing (China)

Economics; Operations and Traffic Management; Planning and Forecasting; Policy; Public Transportation

Transportation Research Board Annual Meeting 2017 Paper #17-03431

TRIS, TRB, ATRI

Dec 8 2016 11:17AM