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The authors have adjusted the DLR forecast model to evaluate the environmental benefits in terms of CO2 and NOx emissions of Clean Sky 2 technology innovations. The paper briefly describes the model employed: it consists of a passenger/flight volume forecast, a fleet model, and emission modelling. The novelty of the forecast approach compared to previous studies is that it is based on airport pairs instead of larger aggregates like countries or regions. Therefore, a separate breakdown on airports is unnecessary in the case of a more detailed analysis is needed, and it enables us to include airport capacity constraints which affect demand and flight volume, as well as the fleet development at constrained and unconstrained airports. We eventually present the forecast results in terms of passenger and flight volume, fleet development, and CO2 and NOx emissions. The results show that emissions can be reduced substantially by the use of Clean Sky 2 technology compared to a reference case which represents the status quo. [ABSTRACT FROM AUTHOR]

Although there has been an unprecedented decline in traffic volume due to the COVID-19 crisis, robust growth in global demand for air transport services in the past means that air traffic is expected to recover in the long term. While capacity constraints are currently not a major topic at airports due to the extremely low levels of traffic, there is growing evidence to suggest that important nodes of the worldwide airport network will struggle to deal with capacity constraints after the recovery. The objectives of this research were therefore as follows: to elaborate long-term global passenger and flight volume scenarios in a post-COVID-19 world; to conduct an empirical and model-based analysis of the impact of limited airport capacity on the future development of air traffic in these scenarios; and to derive general strategies for mitigating capacity constraints at certain international airports. Thus, the main aim of this paper is to present a model-based scenario analysis of the long-term impact of the COVID-19 crisis on the capacity situation for airports. Our results indicate that once the pandemic is over, the capacity crunch will remain on the airports' agenda for some time. [ABSTRACT FROM AUTHOR]

This paper analyses choice of airport and access mode in the region of Cologne, Germany. It uses a nested logit approach enhanced by several innovations to improve model applicability in the real world. The paper considers both private and business travellers, and applies models for seven different market segments defined by journey purpose and type of destination. The research aims to show how airport and access mode characteristics interact in a complex way to determine choice of airport and access mode. In particular, the importance of good airport access for high-speed trains and the supply of direct and low-cost flights to selected destinations are highlighted and quantified. [ABSTRACT FROM AUTHOR]

The paper deals with the quantitative relationship between the number of air travellers in a region and the airports chosen in Germany in 2003. The paper presents results of an analysis of airport choice behaviour of total air passenger demand in Germany, based on data from the German air traveller survey conducted at 17 international and five regional airports. Approximately 210,000 passengers were interviewed about their trip origin, destination, choice of travel mode to the airport, purpose of their journey and further related journey and personal attributes. As a result of analysing these data, the distribution of airports chosen by passengers coming from different regions in Germany can be shown in relation to the journey purpose and destination. Based on these data, logit models have been calibrated for each market segment to forecast airport choice in relation to the accessibility and attractiveness of airports. The research in the present paper is intended to describe the formulation, estimation and application of an airport choice model by market segment for use in a subsequent paper. [ABSTRACT FROM AUTHOR]