This paper presents a comprehensive empirical analysis of flight delay impact on airfare and flight frequency in the US air transportation system. We model airfare and flight frequency as functions of cost and demand characteristics, competition effects, and flight delays at origin, destination,...

This paper studies the capacity and pricing choice of two congestible airports in a multi-airport metropolitan region, under transition from a pure public, centralized airport system to partial or full privatization. We develop analytical models to investigate three privatization scenarios:...

High arrival delay at major airports tends to propagate and generate secondary delay through the National Airspace System (NAS). In the United States, it is widely believed that the major culprits for delay throughout the NAS are the three New York commercial airports – Newark (EWR), LaGuardia...

We build a nested logit model to study the roles of aircraft size, together with service frequency, seat availability and fare, in airlines' market share and total demand in non-stop duopoly markets. We find that airlines can obtain higher returns in market share from increasing service...

We are interested in how airlines make decisions on aircraft size and service frequency in a competitive environment. We apply three game-theoretic models to analyze airlines' choices in duopoly markets: one short-haul market and one long-haul market. We study how airlines' choices in a...

This paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical...

Adverse weather is the dominant cause of delays in the National Airspace System (NAS). Since the future weather condition is only predictable with a certain degree of accuracy, managing traffic in the weather-affected airspace is a challenging task. In this paper, we propose a geometric model to...

In order to predict airline responses to Traffic Management Initiatives (TMIs), and reveal the underlying preference structures that shape these responses, we study US domestic airlines’ cancellation decisions in response to the Federal Aviation Administration (FAA)’s TMIs, in particular, to...