Analysis of Gun Crimes in New York City
Violence involving firearms in the USA is a very important problem. As a consequence, a large number of crimes of this type are recorded every year. However, the solutions proposed have not managed to reduce the number of this type of crime. One of the cities with a large number of violent crimes is...
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MDPI AG
2023-04-01
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Online Access: | https://www.mdpi.com/2413-4155/5/2/18 |
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author | Antonio Sarasa-Cabezuelo |
author_facet | Antonio Sarasa-Cabezuelo |
author_sort | Antonio Sarasa-Cabezuelo |
collection | DOAJ |
description | Violence involving firearms in the USA is a very important problem. As a consequence, a large number of crimes of this type are recorded every year. However, the solutions proposed have not managed to reduce the number of this type of crime. One of the cities with a large number of violent crimes is New York City. The number of crimes is not homogeneous and depends on the district where they occur. This paper proposes to study the information about the crimes in which firearms are involved with the aim of characterizing the factors on which the occurrence of this type of crime depends, such as the levels of poverty and culture. Since the districts are not homogeneous, the information has been analyzed at the district level. For this, data from the open data portal of the city of New York have been used and machine-learning techniques have been used. The results have shown that the variables on which they depend are different in each district. |
first_indexed | 2024-03-11T01:58:18Z |
format | Article |
id | doaj.art-b9d2dfc1ad9c456c95579f24cde53df7 |
institution | Directory Open Access Journal |
issn | 2413-4155 |
language | English |
last_indexed | 2024-03-11T01:58:18Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Sci |
spelling | doaj.art-b9d2dfc1ad9c456c95579f24cde53df72023-11-18T12:29:32ZengMDPI AGSci2413-41552023-04-01521810.3390/sci5020018Analysis of Gun Crimes in New York CityAntonio Sarasa-Cabezuelo0Department Sistemas Informáticos y Programación, Facultad de Informática, Campus de Moncloa, Universidad Complutense de Madrid, 28040 Madrid, SpainViolence involving firearms in the USA is a very important problem. As a consequence, a large number of crimes of this type are recorded every year. However, the solutions proposed have not managed to reduce the number of this type of crime. One of the cities with a large number of violent crimes is New York City. The number of crimes is not homogeneous and depends on the district where they occur. This paper proposes to study the information about the crimes in which firearms are involved with the aim of characterizing the factors on which the occurrence of this type of crime depends, such as the levels of poverty and culture. Since the districts are not homogeneous, the information has been analyzed at the district level. For this, data from the open data portal of the city of New York have been used and machine-learning techniques have been used. The results have shown that the variables on which they depend are different in each district.https://www.mdpi.com/2413-4155/5/2/18gun crimesmachine learningNew Yorkprediction models |
spellingShingle | Antonio Sarasa-Cabezuelo Analysis of Gun Crimes in New York City Sci gun crimes machine learning New York prediction models |
title | Analysis of Gun Crimes in New York City |
title_full | Analysis of Gun Crimes in New York City |
title_fullStr | Analysis of Gun Crimes in New York City |
title_full_unstemmed | Analysis of Gun Crimes in New York City |
title_short | Analysis of Gun Crimes in New York City |
title_sort | analysis of gun crimes in new york city |
topic | gun crimes machine learning New York prediction models |
url | https://www.mdpi.com/2413-4155/5/2/18 |
work_keys_str_mv | AT antoniosarasacabezuelo analysisofguncrimesinnewyorkcity |