Justin Z. Goldstein PhD, Jeremy Simmons MS, Kelsey Opozda BA, Bradley J. Adams PhD
{"title":"2008-2021年纽约市地铁相关死亡的地理空间分析。","authors":"Justin Z. Goldstein PhD, Jeremy Simmons MS, Kelsey Opozda BA, Bradley J. Adams PhD","doi":"10.1111/1556-4029.70086","DOIUrl":null,"url":null,"abstract":"<p>The New York City (NYC) subway system is one of the largest rapid transit systems in the world. With an annual ridership of 1 billion people, subway-related fatalities present a significant public health concern. Properly contextualizing such fatality data is imperative to understanding relevant risk factors. This paper reviews all subway-related fatalities in NYC occurring between 2008 and 2021 (<i>n</i> = 838). Descriptive statistics for fatalities considered manner of death, decedent demographics, season of death, and day of the week when the death occurred. In addition, a geospatial approach was applied to map subway-related fatalities using Geographic Information Systems (GIS). Fatality points were geocoded across NYC, and weighted density variables were calculated for each borough and manner of death. Weighted kernel density maps were generated in ArcGIS Pro to highlight hotspots of relative risk across the city and within each borough. Results indicate that suicides make up nearly half of all NYC subway-related fatalities (<i>n</i> = 409, 48.8%), followed by accidents (<i>n</i> = 277, 33%) and undetermined deaths (<i>n</i> = 143, 17.1%). Despite public concern surrounding being pushed onto subway tracks, homicides of this nature in NYC are undeniably rare (<i>n</i> = 9, 1.1% of all fatalities). The observed subway-related fatality trends are consistent with previous subway fatality research in NYC and also larger fatality (specifically suicide) trends in the United States. The geospatial distribution of subway-related fatalities, season of occurrence, and day of the week of occurrence are discussed, emphasizing the need for the targeted development of suicide-specific and accident-specific public health interventions.</p>","PeriodicalId":15743,"journal":{"name":"Journal of forensic sciences","volume":"70 5","pages":"1824-1835"},"PeriodicalIF":1.8000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A geospatial analysis of subway-related fatalities in New York City (2008–2021)\",\"authors\":\"Justin Z. Goldstein PhD, Jeremy Simmons MS, Kelsey Opozda BA, Bradley J. Adams PhD\",\"doi\":\"10.1111/1556-4029.70086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The New York City (NYC) subway system is one of the largest rapid transit systems in the world. With an annual ridership of 1 billion people, subway-related fatalities present a significant public health concern. Properly contextualizing such fatality data is imperative to understanding relevant risk factors. This paper reviews all subway-related fatalities in NYC occurring between 2008 and 2021 (<i>n</i> = 838). Descriptive statistics for fatalities considered manner of death, decedent demographics, season of death, and day of the week when the death occurred. In addition, a geospatial approach was applied to map subway-related fatalities using Geographic Information Systems (GIS). Fatality points were geocoded across NYC, and weighted density variables were calculated for each borough and manner of death. Weighted kernel density maps were generated in ArcGIS Pro to highlight hotspots of relative risk across the city and within each borough. Results indicate that suicides make up nearly half of all NYC subway-related fatalities (<i>n</i> = 409, 48.8%), followed by accidents (<i>n</i> = 277, 33%) and undetermined deaths (<i>n</i> = 143, 17.1%). Despite public concern surrounding being pushed onto subway tracks, homicides of this nature in NYC are undeniably rare (<i>n</i> = 9, 1.1% of all fatalities). The observed subway-related fatality trends are consistent with previous subway fatality research in NYC and also larger fatality (specifically suicide) trends in the United States. The geospatial distribution of subway-related fatalities, season of occurrence, and day of the week of occurrence are discussed, emphasizing the need for the targeted development of suicide-specific and accident-specific public health interventions.</p>\",\"PeriodicalId\":15743,\"journal\":{\"name\":\"Journal of forensic sciences\",\"volume\":\"70 5\",\"pages\":\"1824-1835\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of forensic sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.70086\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of forensic sciences","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.70086","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
A geospatial analysis of subway-related fatalities in New York City (2008–2021)
The New York City (NYC) subway system is one of the largest rapid transit systems in the world. With an annual ridership of 1 billion people, subway-related fatalities present a significant public health concern. Properly contextualizing such fatality data is imperative to understanding relevant risk factors. This paper reviews all subway-related fatalities in NYC occurring between 2008 and 2021 (n = 838). Descriptive statistics for fatalities considered manner of death, decedent demographics, season of death, and day of the week when the death occurred. In addition, a geospatial approach was applied to map subway-related fatalities using Geographic Information Systems (GIS). Fatality points were geocoded across NYC, and weighted density variables were calculated for each borough and manner of death. Weighted kernel density maps were generated in ArcGIS Pro to highlight hotspots of relative risk across the city and within each borough. Results indicate that suicides make up nearly half of all NYC subway-related fatalities (n = 409, 48.8%), followed by accidents (n = 277, 33%) and undetermined deaths (n = 143, 17.1%). Despite public concern surrounding being pushed onto subway tracks, homicides of this nature in NYC are undeniably rare (n = 9, 1.1% of all fatalities). The observed subway-related fatality trends are consistent with previous subway fatality research in NYC and also larger fatality (specifically suicide) trends in the United States. The geospatial distribution of subway-related fatalities, season of occurrence, and day of the week of occurrence are discussed, emphasizing the need for the targeted development of suicide-specific and accident-specific public health interventions.
期刊介绍:
The Journal of Forensic Sciences (JFS) is the official publication of the American Academy of Forensic Sciences (AAFS). It is devoted to the publication of original investigations, observations, scholarly inquiries and reviews in various branches of the forensic sciences. These include anthropology, criminalistics, digital and multimedia sciences, engineering and applied sciences, pathology/biology, psychiatry and behavioral science, jurisprudence, odontology, questioned documents, and toxicology. Similar submissions dealing with forensic aspects of other sciences and the social sciences are also accepted, as are submissions dealing with scientifically sound emerging science disciplines. The content and/or views expressed in the JFS are not necessarily those of the AAFS, the JFS Editorial Board, the organizations with which authors are affiliated, or the publisher of JFS. All manuscript submissions are double-blind peer-reviewed.