| Title | Applying Agent-based Simulation Model to the Evaluation of Passenger Behaviors and Facility Uses inan Airport Terminal |
| Year | 2018 |
| Degree | Master |
| School | Department of Transportation and Logistics Management |
| Author | |
| Summary | Global air passenger traffic grows increasingly. The more passengers in the airport, the more revenue airports will earn. Air passengers using facilities and doing activity in the airport, such as shopping and dining, brings airports non-aviation income. Therefore, airport managers want to understand the behaviors how passengers use the facilities, and try to increase the facilities use in the terminal. The aim of this thesis is to establish an agent-based simulation model of passenger behaviors with movement and facilities use in an airport terminal, then apply the
simulation model to set different scenarios to analysis the facilities use in the terminal, in order to help the airport’s operation and management. The data collects in Taipei Songshan Airport international departure terminal by questionnaires to ask the passengers’ facilities use. For data analyses, using k-s test with decision tree find the service time distribution for each facility, and using markov-chain find out the choose probability for each facility. For the simulation model, using agent-based simulation model with discrete-event model simulates the passengers flow and behaviors. There are seven scenarios analyses by using the simulation model: the current situation analysis, peak hour analysis, passengers’ attribute analysis, crowded information scenario, increase facilities use scenario, increase duty-free shop use scenario and store location scenario. By analysis the output parameters: number of use for each facility and total time spent in the facilities for each passenger, in order to realize the behaviors for facility use in the airport terminal and to increase the facilities use. |
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