2019
DOI: 10.1016/j.habitatint.2019.102044
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Drawing topological properties from a multi-layered network: The case of an air transport network in “the Belt and Road” region

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Cited by 16 publications
(6 citation statements)
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“…Although Xinjiang is located on the northwestern border of China, it has a special strategic position at the leading edge for China to move toward Central Asia, South Asia, West Asia and even Europe. This region is also called the "core area" for the construction of China's Silk Road Economic Belt [37][38][39][40]. Ecological environmental destruction and environmental pollution will directly affect sustainable economic and social development and the implementation of the "Belt and Road" initiative in China [41].…”
Section: Study Areamentioning
confidence: 99%
“…Although Xinjiang is located on the northwestern border of China, it has a special strategic position at the leading edge for China to move toward Central Asia, South Asia, West Asia and even Europe. This region is also called the "core area" for the construction of China's Silk Road Economic Belt [37][38][39][40]. Ecological environmental destruction and environmental pollution will directly affect sustainable economic and social development and the implementation of the "Belt and Road" initiative in China [41].…”
Section: Study Areamentioning
confidence: 99%
“…Moreover, Lordan and Sallan [30] study the multilayered structure of the European airport network (EAN). From a multilayered network, Zhang et al [31] draw the topological properties of air transport network. In recent years, multilayer network theory is still applied to traffic networks, such as Chinese railway network [32], Chinese air transport network [33], the Southeast air transport system (United States) [34], and Chinese high-speed railway system [35].…”
Section: Introductionmentioning
confidence: 99%
“…Empirical studies demonstrate that both Chinese and global aviation networks have small-world properties, with short average shortest paths and high clustering coefficients. Both networks exhibit a double power-law distribution pattern in their respective degree distributions [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%