Data

New York, New York: Two Ways of Estimating the Delay Impact of New York Airports

Hao, Lu
Hansen, Mark
Zhang, Yu
Post, Joseph
2014

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 (LGA), and John F. Kennedy (JFK). Various estimates of the extent to which the New York airports impact the delay in the NAS have been reported over the years. Yet there is no thorough investigation into the mutual relationship between delays at New York and non-New York airports. In this paper, we...

A Passenger Demand Model for Air Transportation in a Hub-and-Spoke Network

Hsiao, Chieh-Yu
Hansen, Mark
2011

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 analysis finds that pattern of correlations among alternatives can be described by a three-level nested logit model. Fare, frequency, flight time, direct routing, on-time performance, income, and market distance have significantly effects on air demand. Correcting for the problem of endogenous air...

Time to Burn: Flight Delay, Terminal Efficiency, and Fuel Consumption in the National Airspace System

Ryerson, Megan S.
Hansen, Mark
2014

Improved Air Traffic Management (ATM) leading to reduced en route and gate delay, greater predictability in flight planning, and reduced terminal inefficiencies has a role to play in reducing aviation fuel consumption. Air navigation service providers are working to quantify this role to help prioritize and justify ATM modernization efforts. In the following study we analyze actual flight-level fuel consumption data reported by a major U.S. based airline to study the possible fuel savings from ATM improvements that allow flights to better adhere to their planned trajectories both en route...

Value of Flight Cancellation and Cancellation Decision Modeling: Ground Delay Program Postoperation Study

Xiong, Jing
Hansen, Mark
2009

Flight cancellations are costly to airlines and air passengers, but the question is, how costly? Little quantitative analysis about cancellation cost has been done, and current studies are focused on flight delays. However, cancellations should be studied to supplement delay metrics to assess the performance of the National Airspace System, as well as to evaluate the effectiveness of air traffic management. Postoperation data of the ground delay program were explored, and relative value of cancellations in terms of delay savings were inferred. Two cancellation metrics were developed for...

Cost Economics of Aircraft Size

Wei, Wenbin
Hansen, Mark
2993

The authors study the relationship between aircraft cost and size for large commercial passenger jets. Based on a translog model, they develop an econometric cost function for aircraft operating cost and find that economies of aircraft size and stage length exist at the sample mean of their data set, and that for any given stage length there is an optimal size, which increases with stage length. The scale properties of the cost function are changed considerably if pilot unit cost is treated as endogenous, since it is correlated with size. The cost-minimising aircraft size is therefore...

User Request Evaluation Tool and Controller–Pilot Data Link Communications: Integration Benefits Assessment

Rakas, Jasenka
Hansen, Mark
Jirajaruporn, Wanjira
Bolic, Tatjana
2003

Explored are the benefits of integrating User Request Evaluation Tool (URET) and Controller-Pilot Data Link Communications (CPDLC). Controller-pilot voice-communication messages and aircraft traffic flows and conflicts are analyzed in great detail in one representative, URET-operating en route sector. On the basis of the mapped URET data and the real-world communication messages, a base case and two alternative scenarios were analyzed to estimate the number of clearances that are given to pilots to resolve aircraft conflicts a sufficient time before the start of the conflict, and to...

Analysis of Discrete Choice Data with Repeated Observations: Comparison of Three Techniques in Intercity Travel Case

Mehndiratta, Shomik Raj
Hansen, Mark
1997

With the acceptance and widespread application of stated preference methods in transportation analysis, there has been a need for the analysis of choice data with repeated observations. Analysis of repeated choice data is complicated by correlation of responses across the choices made by a single individual. In the probit framework, repeated choice can easily be accommodated by way of correlation in the utilities associated with the errors. However, the probit framework has computational limitations; subsequently, researchers have looked to modeling repeated choice by using extensions of...

Demand and Consumer Welfare Impacts of International Airline Liberalization: The Case of the North Atlantic

Maillebiau, Eric
Hansen, Mark
1993

Impacts of international airline bilateral liberalization on demand, fares, accessibility, and consumer welfare in the North Atlantic are studied, based on data for markets between the United States and five European countries. A demand model, estimated at the country-pair level, suggests that demand is slightly fare inelastic (e ~= -0.9), and that demand has responded positively, though inelastically (e~=0.2), to changes in accessibility (A measure of how much non-stop service is available). A yield model is estimated to assess the impact of bilateral liberalization status on fares, and...

(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs

Lichtle, Nathan
Canesse, Alexi
Fu, Zhe
Matin, Hossein Nick Zinat
Monache, Maria Laura Delle
Bayen, Alexandre M.
2025

We introduce (U)NFV, a modular neural network architecture that generalizes classical finite volume (FV) methods for solving hyperbolic conservation laws. Hyperbolic partial differential equations (PDEs) are challenging to solve, particularly conservation laws whose physically relevant solutions contain shocks and discontinuities. FV methods are widely used for their mathematical properties: convergence to entropy solutions, flow conservation, or total variation diminishing, but often lack accuracy and flexibility in complex settings. Neural Finite Volume addresses these limitations by...

Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach

Liu, Yulin
Hansen, Mark
2018

Reliable 4D aircraft trajectory prediction, whether in a real-time setting or for analysis of counterfactuals, is important to the efficiency of the aviation system. Toward this end, we first propose a highly generalizable efficient tree-based matching algorithm to construct image-like feature maps from high-fidelity meteorological datasets - wind, temperature and convective weather. We then model the track points on trajectories as conditional Gaussian mixtures with parameters to be learned from our proposed deep generative model, which is an end-to-end convolutional recurrent neural...