A STATISTICAL ANALYSIS OF ROAD TRAFFIC ACCIDENTS IN DIBRUGARH CITY, ASSAM, INDIA
by Ajit Goswami, Ripunjoy Sonowal
Road traffic accidents (RTAs) have turned out to be a huge global public health and development problem. Assam one of the federal states in N.E. India has a high rate of accidents and deaths in relation to number of vehicles on the road. Realizing the need to establish baseline information on RTAs, the present study was conducted in Dibrugarh city under the jurisdiction of Dibrugarh Police Station, Assam, India. Complete RTA data of the year 2009 from case dairies and police records of Dibrugarh Police station were studied. SPSS (13.0) and Ky-plot software with bivariate comparisons were used. Data interpretation was done using Degree of freedom, Chi–square test for goodness of fit, – test for independence of attributes and Kruskal-Wallis test. Human characteristics (rush and negligence) make 95.38% of the total RTA. 60% of the accidents were recorded during day time (6 AM-6 PM). The peak time was between 12 PM-6 PM (38.46%). The highest numbers of accidents (32.30%) were observed in the heavy rainy season during the months of July–September. The fewer data on accident reports at police stations are an indicative of lack of awareness of accidents reporting. RTAs are preventable and in order to combat the problem there needs to be close coordination and collaboration, using a holistic and integrated approach, across many sectors and many disciplines.
RTAs, Degree of freedom, Chi–square test, Kruskal-Wallis test, Dibrugarh
Ajit Goswami, firstname.lastname@example.org
Ripunjoy Sonowal, email@example.com
James R. Knaub, firstname.lastname@example.org
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