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Discrete Choice Modelling and Air Travel Demand - Theory and Applications (Hardcover, New Ed)
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Discrete Choice Modelling and Air Travel Demand - Theory and Applications (Hardcover, New Ed)
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In recent years, airline practitioners and academics have started
to explore new ways to model airline passenger demand using
discrete choice methods. This book provides an introduction to
discrete choice models and uses extensive examples to illustrate
how these models have been used in the airline industry. These
examples span network planning, revenue management, and pricing
applications. Numerous examples of fundamental logit modeling
concepts are covered in the text, including probability
calculations, value of time calculations, elasticity calculations,
nested and non-nested likelihood ratio tests, etc. The core
chapters of the book are written at a level appropriate for airline
practitioners and graduate students with operations research or
travel demand modeling backgrounds. Given the majority of discrete
choice modeling advancements in transportation evolved from urban
travel demand studies, the introduction first orients readers from
different backgrounds by highlighting major distinctions between
aviation and urban travel demand studies. This is followed by an
in-depth treatment of two of the most common discrete choice
models, namely the multinomial and nested logit models. More
advanced discrete choice models are covered, including mixed logit
models and generalized extreme value models that belong to the
generalized nested logit class and/or the network generalized
extreme value class. An emphasis is placed on highlighting open
research questions associated with these models that will be of
particular interest to operations research students. Practical
modeling issues related to data and estimation software are also
addressed, and an extensive modeling exercise focused on the
interpretation and application of statistical tests used to guide
the selection of a preferred model specification is included; the
modeling exercise uses itinerary choice data from a major airline.
The text concludes with a discussion of on-going customer modeling
research in aviation. Discrete Choice Modelling and Air Travel
Demand is enriched by a comprehensive set of technical appendices
that will be of particular interest to advanced students of
discrete choice modeling theory. The appendices also include
detailed proofs of the multinomial and nested logit models and
derivations of measures used to represent competition among
alternatives, namely correlation, direct-elasticities, and
cross-elasticities.
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