Spatial patterns of off-the-system traffic crashes in Miami–Dade County, Florida, during 2005–2010

Mackenzie Chance Scott, Shouraseni Sen Roy, Shivangi Prasad

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Objective: The objective of this study is to analyze the spatial distribution of the vehicles involved in crashes in Miami–Dade County. In addition, we analyzed the role of time of day, day of the week, seasonality, drivers’ age in the distribution of traffic crashes. Method: Off-the-system crash data acquired from the Florida Department of Transportation during 2005–2010 were divided into subcategories according to the risk factors age, time of day, day of the week, and travel season. Various spatial statistics methods, including nearest neighbor analysis, Getis-Ord hot spot analysis, and kernel density analysis revealed substantial spatial variations, depending on the subcategory in question. Results: Downtown Miami and South Beach showed up consistently as hotspots of traffic crashes in all subcategories except fatal crashes. However, fatal crashes were concentrated in residential areas in inland areas. Conclusion: This understanding of patterns can help the county target high-risk areas and help to reduce crash fatalities to create a safer environment for motorists and pedestrians.

Original languageEnglish (US)
Pages (from-to)729-735
Number of pages7
JournalTraffic Injury Prevention
Volume17
Issue number7
DOIs
StatePublished - Oct 2 2016

Keywords

  • Miami
  • day of the week
  • hotspot analysis
  • off-the-system crashes
  • seasonality

ASJC Scopus subject areas

  • Safety Research
  • Public Health, Environmental and Occupational Health

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