Airport Capacity Constraints and Strategies for Mitigation: A Global Perspective

Description

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. Cover Airport Capacity Constraints and Strategies for Mitigation: A Global Perspective Copyright Contents Foreword Part I: Basic concepts 1 Introduction References 2 Concepts of capacity and methods of estimation 2.1 Overview: what do we mean by capacity? 2.2 Main factors influencing capacity 2.3 Approaches to estimate runway capacity 2.3.1 Queuing models 2.3.2 Analytical approaches 2.3.3 Empirical approaches 2.3.4 Simulation models 2.4 Conclusion References 3 Capacity utilisation at airports worldwide 3.1 Overview: how to measure capacity utilisation at airports? 3.2 Air traffic ranking curves 3.3 Peak hour volume and annual service volume 3.4 The capacity utilisation index 3.5 Case study: development of capacity utilisation at three example airports: San Diego (SAN), London Heathrow (LHR) and B... 3.6 Conclusion References 4 Constrained and under-utilised airports 4.1 Overview: point-to-point versus hub networks 4.2 Development of global air traffic distribution over time 4.3 Regional characteristics of air traffic distribution 4.4 How to describe levels of airport capacity constraint 4.5 Capacity constrained airports and under-utilised airports 4.6 Case study: development of capacity utilisation by capacity utilisation class at three example airports: San Diego (SAN... 4.7 Conclusion References Part II: Models for assessing mitigation strategies 5 General strategies for mitigating airport capacity constraints 5.1 Overview: typology of mitigation measures 5.2 Investment option: new runways 5.3 Rerouting traffic to under-utilised airports and/or using more off-peak hours 5.4 Raising seat capacity and load factor per flight 5.5 Case study: development of mitigation measures at three example airports: San Diego (SAN), London Heathrow (LHR) and Be... 5.6 Conclusion References 6 Modelling future air passenger demand 6.1 Background 6.2 Model theory 6.3 Model estimation and testing 6.4 Model application: comparing different forecasts References 7 Modelling future airport capacity and capacity utilisation 7.1 Background 7.2 Model theory and parameter estimation 7.3 Model application: comparison of model results with actual traffic data 7.4 Conclusion References 8 Modelling future airport capacity enlargements and limits 8.1 Background 8.2 Model theory and parameter estimation 8.3 What is the potential impact of limited airport capacity on future growth of flight volume? 8.4 Conclusion References 9 Modelling future development of the average number of passengers per flight 9.1 Background 9.2 Model theory and parameter estimation 9.3 Model application: 2008–16 projection of aircraft size (passengers per flight) on 40 sample routes 9.4 Conclusion References Part III: Forecasting future air traffic development up to 2040 and assessing mitigation strategies 10 Traffic forecast and mitigation strategies 10.1 Traffic situation in 2016 10.1.1 Passenger volume 10.1.2 Flight volume 10.1.3 Aircraft size 10.2 Forecast assumptions for 2030 and 2040 10.3 Traffic forecasts for 2016–30 10.3.1 Passenger volume 10.3.2 Flight volume 10.3.3 Aircraft size 10.3.4 Top 20 airports in terms of unaccommodated demand in 2030 10.4 Traffic forecasts for 2030–40 10.4.1 Passenger volume 10.4.2 Flight volume 10.4.3 Aircraft size 10.4.4 Top 20 airports in terms of unaccommodated demand in 2040 10.5 Assessing mitigation strategies 10.5.1 How do increasing aircraft size and adding new runways contribute to airport capacity improvements up to 2030 and 2040? 10.5.1.1 Up to 2030 10.5.1.2 Between 2030 and 2040 10.5.2 General mitigation measures in world regions 10.6 Case study: traffic forecast for San Diego (SAN), London Heathrow (LHR), Beijing Capital City (PEK) and Beijing Daxing... 10.6.1 Passenger volume 10.6.2 Number of aircraft movements 10.6.3 Aircraft size 10.6.4 Capacity analyses 10.7 Conclusion References 11 Summary and conclusion Reference Appendix List of abbreviations Definition of world regions Index Back Cover