Literature DB >> 25425088

Differential patterns, trends and hotspots of road traffic injuries on different road networks in Vellore district, southern India.

Venkata Raghava Mohan1, Rajiv Sarkar, Vinod Joseph Abraham, Vinohar Balraj, Elena N Naumova.   

Abstract

OBJECTIVE: To describe spatial and temporal profiles of Road Traffic Injuries (RTIs) on different road networks in Vellore district of southern India.
METHODS: Using the information in the police maintained First Information Reports (FIRs), daily time series of RTI counts were created and temporal characteristics were analysed with respect to the vehicle, road types and time of the day for the period January 2005 to May 2007. Daily incidence and trend of RTIs were estimated using a Poisson regression analysis.
RESULTS: Of the reported 3262 RTIs, 52% had occurred on the National Highway (NH). The overall RTI rate on the NH was 8.8/100 000 vehicles per day with significantly higher pedestrian involvement. The mean numbers of RTIs were significantly higher on weekends. Thirteen percentage of all RTIs were associated with fatalities. Hotspots are major town junctions, and RTI rates differ over different stretches of the NH.
CONCLUSION: In India, FIRs form a valuable source of RTI information. Information on different vehicle profile, RTI patterns, and their spatial and temporal trends can be used by administrators to devise effective strategies for RTI prevention by concentrating on the high-risk areas, thereby optimising the use of available personnel and resources.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  First Information Reports; Inde; India; Poisson regression analysis; Puntos calientes; Vellore; analyse de régression de Poisson; análisis de regresión de Poisson; blessures de la circulation routière; hotspots; informes policiales First Information Reports; lesiones por accidentes de tráfico; premiers rapports d'information; road traffic injuries; zones sensibles

Mesh:

Year:  2014        PMID: 25425088      PMCID: PMC4308433          DOI: 10.1111/tmi.12436

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  15 in total

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