Scipediacontent: Scipediacontent moved page Draft Content 247114419 to Micciche et al 2015a

2021-02-16T11:31:55Z

Scipediacontent moved page Draft Content 247114419 to Micciche et al 2015a

Scipediacontent: Created page with " == Abstract == Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of..."

2021-02-16T11:31:52Z

Created page with " == Abstract == Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of..."

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== Abstract ==

Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.jairtraman.2014.09.011 http://dx.doi.org/10.1016/j.jairtraman.2014.09.011] under the license https://creativecommons.org/licenses/by-nc-nd

* [http://hdl.handle.net/11585/597093 http://hdl.handle.net/11585/597093]

* [http://westminsterresearch.wmin.ac.uk/17116/1/Applying%2520complexity%2520science%2520to%2520air%2520traffic%2520management.pdf http://westminsterresearch.wmin.ac.uk/17116/1/Applying%2520complexity%2520science%2520to%2520air%2520traffic%2520management.pdf]

* [https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.jairtraman.2014.09.011 http://dx.doi.org/10.1016/j.jairtraman.2014.09.011] under the license cc-by-nc-nd

* [https://www.sciencedirect.com/science/article/pii/S0969699714001331 https://www.sciencedirect.com/science/article/pii/S0969699714001331],
: [http://www.mzanin.com/papers/complexity_ATM.pdf http://www.mzanin.com/papers/complexity_ATM.pdf],
: [https://trid.trb.org/view/1339807 https://trid.trb.org/view/1339807],
: [https://ideas.repec.org/a/eee/jaitra/v42y2015icp149-158.html https://ideas.repec.org/a/eee/jaitra/v42y2015icp149-158.html],
: [https://westminsterresearch.westminster.ac.uk/item/9wq6w/applying-complexity-science-to-air-traffic-management https://westminsterresearch.westminster.ac.uk/item/9wq6w/applying-complexity-science-to-air-traffic-management],
: [https://pure.unipa.it/it/publications/applying-complexity-science-to-air-traffic-management-3 https://pure.unipa.it/it/publications/applying-complexity-science-to-air-traffic-management-3],
: [https://econpapers.repec.org/RePEc:eee:jaitra:v:42:y:2015:i:c:p:149-158 https://econpapers.repec.org/RePEc:eee:jaitra:v:42:y:2015:i:c:p:149-158],
: [http://www.sciencedirect.com/science/article/pii/S0969699714001331 http://www.sciencedirect.com/science/article/pii/S0969699714001331],
: [http://westminsterresearch.wmin.ac.uk/17116 http://westminsterresearch.wmin.ac.uk/17116],
: [https://academic.microsoft.com/#/detail/2163618118 https://academic.microsoft.com/#/detail/2163618118] under the license https://www.elsevier.com/tdm/userlicense/1.0/

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Micciche et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 247114419 to Micciche et al 2015a

Scipediacontent: Created page with " == Abstract == Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of..."