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Abstract
Due to the increasing number of people traveling by air, the passenger flow at the airport is increasing, and the problem of passenger drop-off and pickup has a huge impact on urban traffic. The difficulty of taking a taxi at the airport is still a hot issue in the society. Aiming at the problem of optimizing the allocation of taxi resource, this paper is based on the cost-benefit analysis method to determine the factors that affect the taxi driver’s decision-making. The mathematical methods such as function equation, BP neural network algorithm, and queuing theory were used to establish a complete decision-making model for taxi drivers and an optimization model of dispatching efficiency at the airport. A conclusion has been drawn that the allocation of airport taxi resource should be arranged closely related to drivers’ revenue and the layout of airport line.
Highlights
With the rapid development of the transportation network, aircraft has become one of the most important means of transportation for people [1]
By combining the model established to simulate the condition, the rationality of the model and its dependence on relevant factors are analyzed by combining the back propagation (BP) neural network
Number of passengers and number of taxis have more influence on one single day’s situation, while the weather condition and holiday period impacts much on the situation from one day to another day in a year
Summary
With the rapid development of the transportation network, aircraft has become one of the most important means of transportation for people [1]. Taxi dispatching at the airport has become a research issue, for improving the efficiency of picking up passengers at the departure. Erefore, taxi dispatching efficiency (TDE) has great significance for the development of airport economic zone. Cost-effective analysis (CBA) is an effective method to evaluate the potential economic impact of investment choices [5, 6]. By taking the multiple impacts of different choices into consideration under the background of difficult budgetary arbitrations, the CBA method makes decision-making process a quantitative analysis, providing the decision-makers with prior strategy. In 2009, Damart and Roy utilized the CBA method to evaluate the decision-making context of transport infrastructure in France and found that rationalization of public resource use and stakeholder acceptance of the choices are two elements that affects the improvement of transport infrastructure in France [6].
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