Analysis of Dublin Fire Brigade and FDNY Ambulance Responses

O Beirne, Carl (2020) Analysis of Dublin Fire Brigade and FDNY Ambulance Responses. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

The time it takes for an ambulance to respond to an incident is crucial. In some cases, their speed is the difference between life and death, so it is important there is no delay. Understanding what factors contribute to a delay is important for the ambulance service so they can adapt and allocate additional resources when required. This analysis looked to discover trends and patterns in the number of calls that are being made to the Dublin Fire Brigade (DFB) ambulance and Fire Department of New York (FDNY) Emergency Medical Service (EMS), drilling down on the individual quarters, months, weeks, days & hours of the day, as well as their response time, locating where the calls are coming from and look to predict if there was a delay in assigning an ambulance in New York City (NYC) as soon as the call was made. Results from the drill down analysis found not much insights could be gathered from quarterly, monthly & weekly analysis showed constant fluctuation, potentially caused by the increase in number of calls, especially in NYC, where the number of calls increased by almost 68 thousand calls in 2018. Much more insight was found in the day and hour, where it was discovered that the weekend was the busiest for Dublin and the quietest for NYC. None of the machine learning algorithms reached anticipated results, though found the Radial Grid Tuned Support Vector Machine (SVM) performance was the best of the selection used.

Item Type:	Thesis (Undergraduate)
Supervisors:	Name Email O'Loughlin, Eugene UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HT Communities. Classes. Races > Urban Sociology
Divisions:	School of Computing > Bachelor of Science (Honours) in Technology Management
Depositing User:	Tamara Malone
Date Deposited:	25 Aug 2023 16:20
Last Modified:	25 Aug 2023 16:20
URI:	https://norma.ncirl.ie/id/eprint/6846

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