International Airport Sarajevo, Kurta Schorka 36, 71126 Sarajevo, Bosnia and Herzegovina.
University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia.
Int J Environ Res Public Health. 2022 Jul 22;19(15):8921. doi: 10.3390/ijerph19158921.
The motivation behind this research was to analyse the consequences of aircraft operations' delays on cumulative noise levels produced upon the neighbouring communities and to estimate the relative change in the number of people annoyed by aircraft noise. Many studies showed that residents' reactions to abrupt changes in noise exposure were more intense compared to the anticipated ones. Aircraft delays may cause such abrupt changes in noise exposure by increasing the traffic in some periods compared to the scheduled traffic. The methodology applied includes noise contour development for two different scenarios for intervals where aircraft delays occur. Only delays connected with the Total Airport Management (TAM) were analysed, since such delays can be influenced by airports. The first scenario considered the influence of aircraft operations on population noise exposure without TAM delays, whereas the second one included all delayed flights (actual traffic). The proposed method was tested through case studies of three southeast European airports. The results showed that the highest potential of decrease in the number of people annoyed by the noise was recorded at Niš Airport (59%), followed by Zadar Airport (49%) and Sarajevo Airport (25%). Similar results were obtained in the context of highly annoyed people.
本研究的目的是分析飞机延误对邻近社区累积噪声水平的影响，并估计因飞机噪声而感到烦恼的人数的相对变化。许多研究表明，与预期相比，居民对噪声暴露的突然变化的反应更为强烈。飞机延误可能会导致某些时期的交通量增加，从而导致噪声暴露的这种突然变化。所应用的方法包括为发生飞机延误的两个不同情景开发噪声等高线。仅分析与总机场管理（TAM）相关的延误，因为此类延误可以由机场影响。第一个情景考虑了在没有 TAM 延误的情况下飞机运行对人口噪声暴露的影响，而第二个情景则包括所有延误的航班（实际流量）。该方法通过三个东南欧机场的案例研究进行了测试。结果表明，在受噪声干扰的人数减少方面，尼什机场（59%）的潜力最大，其次是扎达尔机场（49%）和萨拉热窝机场（25%）。在高度受干扰的人群方面也得到了类似的结果。
