Academic Press Airport Capacity Constraints and Strategies for Mitigation: A Global Perspective

When predicting the future of air traffic development, it is imperative for researchers and planners to have the most accurate information about airport capacity constraints. Airport capacity constraints and strategies for mitigation: A global perspective analyses airport capacity constraints with empirical methods 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 analyses empirical 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 strategies for 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 book provides detailed information about how to correctly assess and quantify the problem of limited airport capacity, 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 Review This practical guide examines global airport capacity planning, including related constraints, challenges, methodologies and model-based forecasting approaches About the Author His research interests include mathematical and econometric modelling, in particular airport and access mode choice of air travelers, airport capacity constraints and air transport forecast. He developed a model of air travelers’ airport and access mode choice for Germany based on discrete choice theory, which is used by Deutsche Bahn for their strategic network planning. He won the Neil Mansfield Award of the European Transport Conference, with papers on modelling air passengers’ airport choice and airport capacity constraints. He has authored and co-authored journal articles for Elsevier’s Journal of Air Transport Management, and others. He’s also analyzed constraints at international airports, and has studied questions regarding the effects of modal shifts due to new high speed rail services in Europe for the EU. Peter has worked on development of the Forecasting Statistics and Data Management Project (FSDM) for EUROCONTROL, and has authored and co-authored research papers and referred journal articles in journals such as Elsevier’s Journal of Air Transport Management. He founded an air transport research group at the DLR, and is a member of the scientific staff. He analyzes and forecasts air transport demand and supply worldwide. Prior to DLR, he worked with the Organization for Economic Co-operation and Development (OECD) on developing a European model for forecasting passenger transport. He has authored and co-authored numerous scientific reports, contributed books, and reviewed papers and journal articles, including Elsevier’s Journal of Air Transport Management.