Spatio-Temporal Clustering Analyses for Assessing Motorcycle Safety

Geospatial clustering analysis techniques are useful screening tools to identify and prioritize locations within a larger area that need attention to improve safety. This study focused on applying these techniques to motorcycle safety. Despite these efforts having been undertaken in previous studies, they have generally focused on spatial analysis at a single snap shot of time as opposed to examining temporal trends in spatial patterns. In addition, such applications of these tools to motorcycle safety analysis are extremely limited. This study analyzed data from the state of Florida at a census block group level. The hot spot analyses were undertaken separately for crashes characterized by injury severity, the number of vehicles involved, driver characteristics, driving behavior, and temporal variables. In addition, the emerging hot spot analyses developed in this study examined the temporal trends that existed within the spatial patterns, thus yielding interesting results. Temporal trends indicated that in addition to new motorcycle crash hot spots emerging, a large number of hot spot locations are also intensifying, while very few are diminishing, thus reinforcing the persisting issue of motorcycle safety

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF30 Standing Committee on Motorcycles and Mopeds.
• Authors:
  • Jackson, Deja M
  • Srinivasan, Sivaramakrishnan
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Pagination: 3p

Subject/Index Terms

• TRT Terms: Cluster analysis; High risk locations; Motorcycle crashes; Spatial analysis; Time periods; Traffic safety
• Geographic Terms: Florida
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01663069
• Record Type: Publication
• Report/Paper Numbers: 18-06117
• Files: TRIS, TRB, ATRI
• Created Date: Mar 20 2018 5:08PM