Managing Road Safety in Ahmedabad
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Guide
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2019
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Article
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Abstract
Road crash is not just a chance event and it is possible to identify sources of crashes and take preventive measures. Effective management would include analysing data on a continuous basis, developing strategies and monitoring effectiveness. The Geographic Information System (GIS), big data and video surveillance data come in handy in undertaking these tasks. This paper focuses on analysing the trends in road fatalities and injuries in the city of Ahmedabad in India, their spatio-temporal distribution, identification of �black-spots' and monitoring of user behavior using First Information Reports1 (2009-2018), big data and video surveillance data. There are four important observations of the research. First, �two-wheeler users' along with pedestrians have emerged as a vulnerable group and �cars' have emerged as the major responsible mode for fatal road crashes. Second, highways in urban areas are more road crash prone than other city roads. Third, using kernel density estimation method, the study identifies hot spots and concludes that 64 locations (46 percent of the total road crash prone areas) in the city are more prone to road crashes than others. Lastly, this study confirms that effective monitoring using video surveillance does contribute to change in user behavior.
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1-14p.
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Faculty of Planning
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Road safety, road crashes trends, responsible and affected modes, hotspot analysis, kernel density estimation
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OTHER
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Transport and Communications Bulletin for Asia and the Pacific, No.89 "Improving Road Safety"