Future studies of aviation industry behavior based on demand and expansion capacity of passenger terminals scenarios using system dynamics

Subject Areas : Futurology

Ehsan Mohebbi ¹ , Babak Shirazi ² , Ali Tajdin ³

1 - Mazandaran university of science and technology
2 - Department of Industrial Engineering, Mazandaran university of Science and Technology
3 - Mazandaran university of science and technology

Received: 2017-10-12 Accepted : 2018-04-23 Published : 2018-04-21

Keywords: passenger terminals capacity, Future study, System Dynamics, causal loop, air travel demand,

Abstract :

Due to the high speed of relocation, air transportation has particular importance for the development of socio-economic systems of each region or country. The wide area of Iran in order to the geographical characteristics and economic growth speed has the high potential for the expansion of air transport. The main purpose of this paper is to the future study of Iran’s air travel demand and passenger terminals capacity. The paper has presented a method for developing the air passenger demand forecast model and the scenarios related to runway and passenger terminals capacity expansion. The approach meets the future demand from the point of view of system dynamics in the horizon of 2020. Although there are a number of studies in the air transport field based on the system dynamics, the researchers have not been conducted to investigate the demand for air travel and the development of passenger terminals capacity in Iran. Due to the developed model and study, the pessimistic and optimistic scenarios different sensitivity values have been compared within these three scenarios . Scenarios are designed based on capacity factors, the number of flights per day, the use of airport runways, and airline congestion. Using the different conditions of scenarios and predicting the conditions that may occur in the future for the country's airline industry, it is possible to test the overall behavior of the model. In order to verification and validation of the proposed method, Vensim system dynamics simulation have been used for model development and sensitivity analysis.