Resectorization Analysis of Airspace Sector Capacity

Measuring airspace sector capacity is the basic foundation for researching airspace management problems. It's important to measure the effects of the flow management in airspace by the research of the right estimator. Therefore, this study is basically on the safe and effective purpose in airspace to develop appropriate measuring models of sector capacity that can predict. This study researches into those key factors that can construct mutually influential model in order to measure the capacity of airspace before/after resectorization, factors such as airspace sector characteristics, controller's workload, air traffic flow, and the procedure of air traffic control. At the same time, this research is applied with factor analysis methods to measure and analyze influence factors of sector capacity. This research proposes two-stage regression model to measure sector capacity, analyze sector capacity before/after resectorization, realize the utility of sector capacity, and reflect the issues of combination/decombination for sector airspace. The outcomes of factor analysis show the most evident factors that influence of airspace sector workloads are as follows: sector complex traffic, air traffic control, sector characteristics, time period, and inter-sector traffic. The regression outcomes show that per hour threshold of sector capacity before resectorization is more than per hour threshold of sector capacity after resectorization.