HighlightsConstructing a timetable optimization model of newly introduced airport bus.The cultivation period is explicitly considered.Optimization model is built on a simulation system in which the transitions in airport choice behavior are established.The prospect theory is applied to model the loyal airport choice under conditions of uncertainty.
AbstractAn airport bus service, which is newly introduced in a multi-airport region, commonly leads to a gradually increasing market share of airports until a new state of equilibrium is reached. With the goal of speeding up and enlarging the increase in market share, this paper proposes a timetable optimization model by incorporating reactions of airport-loyal passengers to bus service quality. The simulation part of the model, which uses cumulative prospect theory to formulate discrete airport choices, results in predicted passenger demand needed in the optimization part. Then a genetic algorithm for multi-objective optimization problems called NSGA-II is applied to solve the model. To illustrate the model, the “Lukou airport-Wuxi” airport bus in China is taken as an example. The results show that the optimized timetables shorten the cultivation period and impel the market share to grow rapidly.
Optimization of airport bus timetable in cultivation period considering passenger dynamic airport choice under conditions of uncertainty
2016-01-17
16 pages
Article (Journal)
Electronic Resource
English
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