A weather related causal analysis on consolidated delay at Newark Liberty International Airport

 

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dc.contributor.advisor Mbogho, Audrey J W en_ZA
dc.contributor.author O'Loghlen, Gerald Philip en_ZA
dc.date.accessioned 2014-08-20T19:30:35Z
dc.date.available 2014-08-20T19:30:35Z
dc.date.issued 2013 en_ZA
dc.identifier.citation O'Loghlen, G. 2013. A weather related causal analysis on consolidated delay at Newark Liberty International Airport. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/6639
dc.description.abstract The closure of the European airspace due to the eruption of the Icelandic volcano Eyjafjallajokull in 2010 proved a major challenge for airlines and aviation authorities on a global scale. In contrast, more seasonal adverse meteorological conditions afflict many airports in the northern eastern seaboard of the United States. Newark Liberty International Airport (KEWR) is a representative airport that endures severe weather based delays. This dissertation explores the utilisation of Bayesian Networks (BN) and heuristic analyses to investigate weather based delays at Newark Liberty International airport (KEWR). In particular, it aims to understand which weather variables (namely, precipitation, visibility and wind) have the most impact on weather based delays at KEWR in contrast to past studies that have studied more generic weather phenomena (e.g. thunderstorms) at the same airport. An analysis using temporal functionality with Bayesian Networks (BN) software and heuristic analyses was conducted. Data extracted from weather and aviation based websites was extracted using software. The quality of the information was cross referenced with official data sources and validated using BN tools. The results revealed a causal correlation chain between crosswinds above a certain threshold and high delays at KEWR at various points in the experimentation. Though other meteorological elements examined had an impact on delays, airport authorities and airlines can mitigate these factors to a certain scale using Federal Aviation Authority (FAA) approved technology and training. Consequently, the implications could be significant on existing FAA and regional policy with Ground Delay Program (GDP) and Noise Abatement Procedures (NAP). These policies can be profound and far reaching for airlines, in terms of operating procedures and fuel cost implications. These findings can further alter the balance between efficiency, public safety and airline costing affecting all major stakeholders as this dissertation will investigate. en_ZA
dc.language.iso eng en_ZA
dc.title A weather related causal analysis on consolidated delay at Newark Liberty International Airport en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Computer Science en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation O'Loghlen, G. P. (2013). <i>A weather related causal analysis on consolidated delay at Newark Liberty International Airport</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/6639 en_ZA
dc.identifier.chicagocitation O'Loghlen, Gerald Philip. <i>"A weather related causal analysis on consolidated delay at Newark Liberty International Airport."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2013. http://hdl.handle.net/11427/6639 en_ZA
dc.identifier.vancouvercitation O'Loghlen GP. A weather related causal analysis on consolidated delay at Newark Liberty International Airport. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6639 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - O'Loghlen, Gerald Philip AB - The closure of the European airspace due to the eruption of the Icelandic volcano Eyjafjallajokull in 2010 proved a major challenge for airlines and aviation authorities on a global scale. In contrast, more seasonal adverse meteorological conditions afflict many airports in the northern eastern seaboard of the United States. Newark Liberty International Airport (KEWR) is a representative airport that endures severe weather based delays. This dissertation explores the utilisation of Bayesian Networks (BN) and heuristic analyses to investigate weather based delays at Newark Liberty International airport (KEWR). In particular, it aims to understand which weather variables (namely, precipitation, visibility and wind) have the most impact on weather based delays at KEWR in contrast to past studies that have studied more generic weather phenomena (e.g. thunderstorms) at the same airport. An analysis using temporal functionality with Bayesian Networks (BN) software and heuristic analyses was conducted. Data extracted from weather and aviation based websites was extracted using software. The quality of the information was cross referenced with official data sources and validated using BN tools. The results revealed a causal correlation chain between crosswinds above a certain threshold and high delays at KEWR at various points in the experimentation. Though other meteorological elements examined had an impact on delays, airport authorities and airlines can mitigate these factors to a certain scale using Federal Aviation Authority (FAA) approved technology and training. Consequently, the implications could be significant on existing FAA and regional policy with Ground Delay Program (GDP) and Noise Abatement Procedures (NAP). These policies can be profound and far reaching for airlines, in terms of operating procedures and fuel cost implications. These findings can further alter the balance between efficiency, public safety and airline costing affecting all major stakeholders as this dissertation will investigate. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - A weather related causal analysis on consolidated delay at Newark Liberty International Airport TI - A weather related causal analysis on consolidated delay at Newark Liberty International Airport UR - http://hdl.handle.net/11427/6639 ER - en_ZA


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