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| LEADER |
01606nam a2200313Ia 4500 |
| 001 |
10.1016-j.tre.2018.08.014 |
| 008 |
220706s2018 CNT 000 0 und d |
| 020 |
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|a 13665545 (ISSN)
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| 245 |
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|a Delay causality network in air transport systems
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| 260 |
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|b Elsevier Ltd
|c 2018
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1016/j.tre.2018.08.014
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|a To better understand the mechanism of flight delay propagation at the system-level, we built a delay causality network (DCN) based on the Granger causality test. Through topological analysis of DCNs, we found that only about a quarter of airports were involved in delay propagation during the peak travel period and large airports affected by many upstream airports impact fewer downstream airports. Furthermore, temporal analysis of DCNs indicates that the culprits of delay propagation in the air transport system are not a fixed set of airports; instead, they vary daily depending on the operational environment. © 2018 The Authors
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| 650 |
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4 |
|a air transportation
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| 650 |
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4 |
|a airport
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| 650 |
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4 |
|a Delay causality
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| 650 |
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4 |
|a Delay propagation
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| 650 |
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|a Flight delay
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| 650 |
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4 |
|a Granger causality test
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| 650 |
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4 |
|a network analysis
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| 650 |
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|a Network analysis
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| 650 |
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|a temporal analysis
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| 650 |
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|a transportation system
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| 650 |
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|a travel demand
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| 700 |
1 |
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|a Cao, X.-B.
|e author
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| 700 |
1 |
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|a Du, W.-B.
|e author
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| 700 |
1 |
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|a Zhang, J.
|e author
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| 700 |
1 |
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|a Zhang, M.-Y.
|e author
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| 700 |
1 |
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|a Zhang, Y.
|e author
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| 773 |
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|t Transportation Research Part E: Logistics and Transportation Review
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