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Multiple airport regions based on inter-airport temporal distances

机译:基于机场间时间距离的多个机场区域

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We formulate and implement a new metric for identifying multiple airport regions (MARs) around the world, based on the temporal distance between airports. This metric, opposed to existing studies based on spatial distance, takes into account the real travel time between airports of latent passengers and their journeys via ground transportation. We investigate a variety of properties of the newly built MARS network at the global scale for the year 2015, including the importance of MARs in global air transportation, similarity clustering, destination overlap, and airport roles inside a MAR. Commonalities and differences to the simplified spatial distance are identified. (C) 2017 Elsevier Ltd. All rights reserved.
机译:我们根据机场之间的时间距离,制定并实施一种新的度量标准,以识别全球多个机场区域(MAR)。与现有的基于空间距离的研究相反,此度量标准考虑了潜在乘客的机场与其通过地面运输的旅程之间的实际旅行时间。我们研究了2015年全球范围内新建MARS网络的各种属性,包括MAR在全球航空运输,相似性聚类,目的地重叠以及MAR内部机场角色中的重要性。确定简化空间距离的共性和差异。 (C)2017 Elsevier Ltd.保留所有权利。

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