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In this study, we present both data mining and information visualizationtechniques to identify accident-prone areas, most accident-prone time, day, andmonth. Also, we surveyed among volunteers to understand which visualizationtechniques help non-expert users to understand the findings better. Findings ofthis study suggest that most accidents occur in the dusk (i.e., between 6 to 7pm), and on Fridays. Results also suggest that most accidents occurred inOctober, which is a popular month for tourism. These findings are consistentwith social information and can help policymakers, residents, tourists, andother law enforcement agencies. This study can be extended to draw broaderimplications.

Data Mining and Visualization to Understand Accident-prone Areas