Optimization of airport bus timetable in cultivation period considering passenger dynamic airport choice under conditions of uncertainty

J. Lu, Z. Yang, H.J.P. Timmermans, W. Wang

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)
2 Downloads (Pure)

Abstract

An 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.

Original languageEnglish
Pages (from-to)15-30
Number of pages16
JournalTransportation Research. Part C: Emerging Technologies
Volume67
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • Airport bus
  • Airport choice
  • Cultivation period
  • Dynamic optimization
  • Timetable

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