Road accident models for Hyderabad metropolitan city of India

Metropolitan city road use patterns in India are very different from those in developed countries. Globalization accounts for significant changes in lifestyle and occupation, causing migration from rural to urban areas in search of jobs. Population increase, urbanization and modern infrastructure have made the population more dependent on motor vehicles. The resultant economic growth and increase in motor vehicles is a primary factor responsible for the increase in road accidents in many of the metropolitan cities of developing countries, including Hyderabad, India. 119,860 lives were lost due to road accidents in India in 2008, most of them in major cities. Reasons for this include haphazard city planning and unscientific road design. By utilizing data obtained from secondary sources, an assessment is presented here of the current level of road safety in Hyderabad. Four parameters are considered in the assessment: accident severity index, accident fatality rate, accident fatality risk, and accident risk. Road accident prediction and identifying black spots in Hyderabad city are the primary focus of the study. Smeed's concept is used to develop projection models of future accidents. Regression analysis is used based on the above concept for total accidents, injuries, fatalities, registered motor vehicles, and population to drive empirical formulae. Effectiveness of future safety improvements implemented in the city can be measured by using these models as tools. Statistical methods of Quantum of Accident Method and Accident prone Index method are used to identify black spots for west and central zones of Hyderabad city. This will enable improvement of road geometrics by means of micro analysis.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; Maps; Photos; References; Tables;
  • Pagination: pp 17-30
  • Serial:
    • Indian Highways
    • Volume: 39
    • Issue Number: 7
    • Publisher: Indian Roads Congress
    • ISSN: 0376-7256

Subject/Index Terms

Filing Info

  • Accession Number: 01350767
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 31 2011 7:45AM