摘要：AbstractThe addition of gates at airports is subject to growth rate uncertainties about demand, costs, construction times, interest rates and other factors. An analytical model is developed for minimizing total gate expansion costs, by optimizing the timing and number of new gates, subject to uncertainties of demand and construction times. Using estimations of parameters from interval data, three interval models combining the concepts of auto-correlated random demand are proposed for expressing such uncertainty measurements. According to the analyses of interval uncertainties, potential benefits can be obtained by adjusting preplanned projects to advance or postpone gate construction.
