The topological structure of the air transport network is complex and can be analyzed with different approaches,measures and perspectives.In this study a dynamic network analysis is utilized and an additional function...The topological structure of the air transport network is complex and can be analyzed with different approaches,measures and perspectives.In this study a dynamic network analysis is utilized and an additional functional layer,passenger flows,is defined to analyze the flow of connectivity.Therefore,the approach provides additional and differentiated results to assess the European air transport network.The study is based on a time series of monthly European demand and schedule data for the years 2010-2023.This makes the study relevant for the recent evaluation of the European air transport network.The study aims to measure the connectivity of the intra-European network and how this connectivity changes over time.The view on connectivity is extended from accessibility and connectivity to two additional perspectives,competition and robustness.The flow of connec-tivity is assessed using dynamic network analysis,which identifies trends,standard deviation and mean absolute change.This allows comparison of the entire network over time as well as comparisons between airports.This paper introduces a framework that integrates and categorizes a broad range of network analysis measures.It provides a foundation for future developments and practical applications across diverse use cases and other networks.The study demonstrates that the connectivity of the network undergoes changes over time,both in terms of trend and in terms of similarity between airports,with differences evident in the four different perspectives.The accessibility among airports is becoming more uniform,indicating a convergence in connectivity measures.At the same time,airports are becoming increasingly interconnected with less relative importance of hubs.How-ever,the passenger utilization becomes more diverse.Competition among airports has been steadily increasing.Additionally,there is a correlation between demand,competition,and the network’s structure.In less competitive markets,there are fewer travelers and reduced capacity,and airports often exhibit weaker centrality within the network.展开更多
文摘The topological structure of the air transport network is complex and can be analyzed with different approaches,measures and perspectives.In this study a dynamic network analysis is utilized and an additional functional layer,passenger flows,is defined to analyze the flow of connectivity.Therefore,the approach provides additional and differentiated results to assess the European air transport network.The study is based on a time series of monthly European demand and schedule data for the years 2010-2023.This makes the study relevant for the recent evaluation of the European air transport network.The study aims to measure the connectivity of the intra-European network and how this connectivity changes over time.The view on connectivity is extended from accessibility and connectivity to two additional perspectives,competition and robustness.The flow of connec-tivity is assessed using dynamic network analysis,which identifies trends,standard deviation and mean absolute change.This allows comparison of the entire network over time as well as comparisons between airports.This paper introduces a framework that integrates and categorizes a broad range of network analysis measures.It provides a foundation for future developments and practical applications across diverse use cases and other networks.The study demonstrates that the connectivity of the network undergoes changes over time,both in terms of trend and in terms of similarity between airports,with differences evident in the four different perspectives.The accessibility among airports is becoming more uniform,indicating a convergence in connectivity measures.At the same time,airports are becoming increasingly interconnected with less relative importance of hubs.How-ever,the passenger utilization becomes more diverse.Competition among airports has been steadily increasing.Additionally,there is a correlation between demand,competition,and the network’s structure.In less competitive markets,there are fewer travelers and reduced capacity,and airports often exhibit weaker centrality within the network.
