Forecasting Air Travel Demand

Forecasting Air Travel Demand PDF Author: Yafei Zheng
Publisher: Routledge
ISBN: 1351215493
Category : Business & Economics
Languages : en
Pages : 156

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Book Description
This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.

Forecasting Air Travel Demand

Forecasting Air Travel Demand PDF Author: Yafei Zheng
Publisher: Routledge
ISBN: 1351215493
Category : Business & Economics
Languages : en
Pages : 156

Get Book Here

Book Description
This book provides an updated, concise summary of forecasting air travel demand methodology. It looks at air travel demand forecasting research and attempts to outline the whole intellectual landscape of demand forecasting. It helps readers to understand the basic idea of TEI@I methodology used in forecasting air travel demand and how it is used in developing air travel demand forecasting methods. The book also discusses what to do when facing different forecasting problems making it a useful reference for business practitioners in the industry.

Air Transport Management

Air Transport Management PDF Author: Lucy Budd
Publisher: Routledge
ISBN: 1317183274
Category : Business & Economics
Languages : en
Pages : 661

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Book Description
Commercial air transport is a global multimillion dollar industry that underpins the world economy and facilitates the movement of over 3 billion passengers and 50 million tonnes of air freight worldwide each year. With a clearly structured topic-based approach, this textbook presents readers with the key issues in air transport management, including: aviation law and regulation, economics, finance, airport and airline management, environmental considerations, human resource management and marketing. The book comprises carefully selected contributions from leading aviation scholars and industry professionals worldwide. To help students in their studies the book includes case studies, examples, learning objectives, keyword definitions and ‘stop and think’ boxes to prompt reflection and to aid understanding. Air Transport Management provides in-depth instruction for undergraduate and postgraduate students studying aviation and business management-related degrees. It also offers support to industry practitioners seeking to expand their knowledge base.

Smart and Sustainable Operations Management in the Aviation Industry

Smart and Sustainable Operations Management in the Aviation Industry PDF Author: Turan Paksoy
Publisher: CRC Press
ISBN: 1040109365
Category : Technology & Engineering
Languages : en
Pages : 169

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Book Description
The ongoing impact of Industry 4.0 and disruptive technologies has transformed conventional supply chains into globally connected collaborative networks. As supply chains become flexible, agile, and digital structures, the planning and operation phases of the key business processes become more complex. This book presents state-of-the-art chapters on smart and sustainable supply chain management in the aviation industry. The aviation industry is one of the main industries affected by the rapid transformation initiated by the Fourth Industrial Revolution. Disruptive technologies, such as artificial intelligence, augmented reality, advanced sensor systems, and autonomous robots, are shaping the future of the aviation industry. In this sense, conventional aviation operations are being replaced by innovative ones, and aviation companies need to switch their business models. This transformation is required due to the increasing economic, environmental, and social concerns.Smart and Sustainable Operations Management in the Aviation Industry: A Supply Chain 4.0 Perspective addresses these changes in the aviation industry. This book covers a wide range of topics, including key business operations in aviation, productivity improvement strategies in the aviation industry, and promising applications of disruptive technologies for aviation companies.

Statewide Travel Forecasting Models

Statewide Travel Forecasting Models PDF Author: Alan J. Horowitz
Publisher: Transportation Research Board
ISBN: 0309097657
Category : Traffic estimation
Languages : en
Pages : 125

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Book Description
TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 358: Statewide Travel Forecasting Models examines statewide travel forecasting models designed to address planning needs and provide forecasts for statewide transportation, including passenger vehicle and freight movements. The report explores the types and purposes of models being used, integration of state and urban models, data requirements, computer needs, resources (including time, funding, training, and staff), limitations, and overall benefits. The report includes five case studies, two that focus on passenger components, two on freight components, and one on both passenger and freight.

Modeling of Transport Demand

Modeling of Transport Demand PDF Author: V.A Profillidis
Publisher: Elsevier
ISBN: 0128115149
Category : Social Science
Languages : en
Pages : 500

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Book Description
Modeling of Transport Demand explains the mechanisms of transport demand, from analysis to calculation and forecasting. Packed with strategies for forecasting future demand for all transport modes, the book helps readers assess the validity and accuracy of demand forecasts. Forecasting and evaluating transport demand is an essential task of transport professionals and researchers that affects the design, extension, operation, and maintenance of all transport infrastructures. Accurate demand forecasts are necessary for companies and government entities when planning future fleet size, human resource needs, revenues, expenses, and budgets. The operational and planning skills provided in Modeling of Transport Demand help readers solve the problems they face on a daily basis. Modeling of Transport Demand is written for researchers, professionals, undergraduate and graduate students at every stage in their careers, from novice to expert. The book assists those tasked with constructing qualitative models (based on executive judgment, Delphi, scenario writing, survey methods) or quantitative ones (based on statistical, time series, econometric, gravity, artificial neural network, and fuzzy methods) in choosing the most suitable solution for all types of transport applications. - Presents the most recent and relevant findings and research - both at theoretical and practical levels - of transport demand - Provides a theoretical analysis and formulations that are clearly presented for ease of understanding - Covers analysis for all modes of transportation - Includes case studies that present the most appropriate formulas and methods for finding solutions and evaluating results

Airport Capacity Constraints and Strategies for Mitigation

Airport Capacity Constraints and Strategies for Mitigation PDF Author: Marc C. Gelhausen
Publisher: Academic Press
ISBN: 0128126582
Category : Social Science
Languages : en
Pages : 339

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Book Description
When predicting the future of air traffic development, it is imperative for researchers and planners tohave the most accurate information about airport capacity constraints. Airport capacity constraintsand strategies for mitigation: A global perspective analyses airport capacity constraints with empiricalmethods that forecast future capacities and capacity shortfalls.The book discusses in detail the importance of airport capacity constraints on air traffic development,especially for international hubs, along with mitigation strategies for already congested airports. It analysesempirical data to provide greater insight into the problems of airport congestion and capacity shortage.The authors present detailed global traffic forecasts for the years 2030 and 2040, and mitigation strategiesfor overcoming the problem of limited airport capacity.As expanding current airports becomes increasingly difficult, and time consuming – especially for hubs– the study of current and future airport capacity constraints becomes ever more needed. This bookprovides detailed information about how to correctly assess and quantify the problem of limited airportcapacity, while offering strategies for overcoming these issues for a healthy global air traffic network. - Focuses on airport capacity constraints in the global air traffic network and their implications for the future of air traffic development - Features empirical and model-based approaches that forecast airport capacities and capacity shortcomings - Provides over capacity mitigation strategies based on sound and reliable data and methodology - Addresses capacity constraints at hub airports, providing insight into how to correctly assess and quantify limited capacity for these important players in the global air transportation network - Applies econometric models for the implication of restraining factors on the future volume and structure of air traffic

Econometric Modelling and Forecasting of Tourism Demand

Econometric Modelling and Forecasting of Tourism Demand PDF Author: Doris Chenguang Wu
Publisher: Taylor & Francis
ISBN: 1000773442
Category : Business & Economics
Languages : en
Pages : 327

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Book Description
This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting. Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting. Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.

Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data

Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data PDF Author: Richard H. Zeni
Publisher: Universal-Publishers
ISBN: 1581121415
Category : Business & Economics
Languages : en
Pages : 274

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Book Description
Accurate forecasts are crucial to a revenue management system. Poor estimates of demand lead to inadequate inventory controls and sub-optimal revenue performance. Forecasting for airline revenue management systems is inherently difficult. Competitive actions, seasonal factors, the economic environment, and constant fare changes are a few of the hurdles that must be overcome. In addition, the fact that most of the historical demand data is censored further complicates the problem. This dissertation examines the challenge of forecasting for an airline revenue management system in the presence of censored demand data. This dissertation analyzed the improvement in forecast accuracy that results from estimating demand by unconstraining the censored data. Little research has been done on unconstraining censored data for revenue management systems. Airlines tend to either ignore the problem or use very simple ad hoc methods to deal with it. A literature review explores the current methods for unconstraining censored data. Also, practices borrowed from areas outside of revenue management are adapted to this application. For example, the Expectation-Maximization (EM) and other imputation methods were investigated. These methods are evaluated and tested using simulation and actual airline data. An extension to the EM algorithm that results in a 41% improvement in forecast accuracy is presented.

Discrete Choice Modelling and Air Travel Demand

Discrete Choice Modelling and Air Travel Demand PDF Author: Professor Laurie A Garrow
Publisher: Ashgate Publishing, Ltd.
ISBN: 1409486338
Category : Technology & Engineering
Languages : en
Pages : 327

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Book Description
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.

A Computer Simulation Model for Analyzing Mobile Source Air Pollution Control Strategies

A Computer Simulation Model for Analyzing Mobile Source Air Pollution Control Strategies PDF Author: Mathtech, inc
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 192

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Book Description