Author(s)

Ouyang Liang, Pan Huilin, Wang Erkang

Corresponding Author

Ouyang Liang

ABSTRACT

Taxi is one of the main means of transportation for airport passengers. Taxi drivers are faced with two choices at the airport: "waiting in line to pick up passengers" and "directly emptying". This article studies the factors that influence the decision-making of taxi drivers, considering the profit of the driver and the number of passengers in other circumstances, provide suggestions for the taxi driver’s decision-making, consider arranging a reasonable “boarding point” for passengers, and give short-distance drivers their corresponding “priority” to ensure a balanced income. We accurately calculate the costs and benefits based on the assumptions of rational people, and use the sum of the queue time and the return time in the queue waiting mode as the time standard, and compare the two modes of waiting in line and returning empty cars during this period of time. Profit, and thus choose the most profitable model. We collected relevant data on Wuhan Tianhe Airport and taxis in Wuhan by consulting relevant information. After the solution is solved, the rationality of the model is analyzed from the perspectives of hypothesis, logic and reality, and the factor analysis of the nine factors mentioned in question 1 is carried out using spss software. We considered two different modes of getting on the car. We take the time it takes for all taxis to carry passengers in the first mode as the standard, give priority to all passengers in the time period, and use the standard time that can just be met in both modes as the critical point. Finally, we adopt the "time compensation" method, we introduce the maximum journey as a reference, and give different time compensation to taxis of different distances.

KEYWORDS

difference equation factor analysis genetic algorithm