Samet Güner , Jorge Junio Moreira Antunes , Keziban Seçkin Codal , Peter Wanke
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引用次数: 0
Abstract
Network centrality is an intermediary between airport resource utilization and air traffic generation. A central position in the network with frequent and regular flights with hub nodes can boost air traffic by providing better accessibility, resulting in more efficient use of airport resources. However, this relationship has been largely ignored in the literature. Using data from the Turkish airport industry, this paper proposed a weight-restricted Network Data Envelopment Analysis model, which considers network centrality measures as the cornerstone intermediates that establish the link between airport resources and the traffic volume handled. In the first stage, called networkability, assets such as runways, terminals, aprons, and special purpose vehicles, and exogenous factors including population, socio-economic development, and tourist arrivals are used to accomplish the network integration with other airports, as measured by degree centrality, betweenness centrality, and eigenvector centrality. In the second stage, called traffic generation, this network integration allows for aircraft movements and workload unit to be handled. Criteria weights of model variables were calculated using Criteria Importance Through Intercriteria Correlation. The main findings indicate that 1) the weight-restriction procedure improved the robustness of Network DEA, 2) the proposed two-stage structure reveals whether performance losses are due to networkability or traffic generation capabilities and helps to identify the right policies for performance improvement, 3) the Turkish airports generally suffer from the inability to establish connections in the domestic network, 4) the pandemic has significantly improved the domestic networkability of airports due to mandatory direct flights while devastating the traffic generation capability, 5) low betweenness centrality is the main reason for weak networkability, and 6) good networkability may not ensure air traffic generation.
网络中心性是机场资源利用和航空交通量之间的中介。在网络中处于中心位置并与枢纽节点有频繁和定期航班的机场,可以通过提供更好的可达性来促进航空交通,从而更有效地利用机场资源。然而,文献大多忽视了这一关系。本文利用土耳其机场行业的数据,提出了一个权重受限的网络数据包络分析模型,将网络中心性度量作为建立机场资源与吞吐量之间联系的基石中介。在第一阶段,即网络性阶段,利用跑道、航站楼、停机坪、专用车辆等资产,以及人口、社会经济发展、游客数量等外生因素来完成与其他机场的网络整合,具体衡量指标包括度中心性、间度中心性和特征向量中心性。在第二阶段,即流量生成阶段,通过网络整合可以处理飞机起降和工作量单位。模型变量的标准权重是通过标准间相关性计算得出的。主要研究结果表明:1)权重限制程序提高了网络 DEA 的稳健性;2)建议的两阶段结构揭示了绩效损失是由于网络性还是交通生成能力造成的,有助于确定正确的绩效改进政策、3)土耳其机场普遍存在无法在国内网络中建立连接的问题;4)由于强制直飞航班,大流行病显著改善了机场的国内网络性,但却破坏了流量生成能力;5)低介度中心性是网络性弱的主要原因;6)良好的网络性可能无法确保航空流量生成。
期刊介绍:
The Journal of Air Transport Management (JATM) sets out to address, through high quality research articles and authoritative commentary, the major economic, management and policy issues facing the air transport industry today. It offers practitioners and academics an international and dynamic forum for analysis and discussion of these issues, linking research and practice and stimulating interaction between the two. The refereed papers in the journal cover all the major sectors of the industry (airlines, airports, air traffic management) as well as related areas such as tourism management and logistics. Papers are blind reviewed, normally by two referees, chosen for their specialist knowledge. The journal provides independent, original and rigorous analysis in the areas of: • Policy, regulation and law • Strategy • Operations • Marketing • Economics and finance • Sustainability