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Dr Bani Anvari
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About the Project
According to the 2015 Global Status Report on Road Safety by the World Health Organization (WHO), crashes are a major pandemic that affect the safety and efficiency of road networks worldwide with 1.25 million deaths each year. In particular, Low- and Middle-Income Countries had more than two times higher road traffic fatality rates compared to high-income countries. Though introducing and enforcing conventional road safety laws have prevented a further increase of road traffic fatalities in Low- and Middle-Income Countries (LMICs), the World Health Organization report suggests that changing country-specific road user behaviour remains of paramount importance when addressing the integrated “Safe Systems” approach. To address this rising global health issue, the University of Southampton’s Transportation Research Group (TRG), in collaboration with the Faculty of Medicine, has been funded by the National Institute for Health Research (NIHR) to form a Research Group on Global Road Safety to implement the Socio-Technical systems Approach to Road Safety (STARS) project (see www.nihr.ac.uk/globalhealth).
The PhD student will develop a Decision Support System (DSS) measuring the level of road safety and identifying the emergence of unsafe road conditions before a high number of fatal accidents will occur. In collaboration with our partners in four LMICs (Bangladesh, Kenya, China and Vietnam), the student will study existing road safety programs, their targets, their impacts and forecast the impact of future policy decisions on road safety. This will be achieved by:
1. Classifying the number, frequency, severity and type of accidents or injuries on roads in the four LMICs.
2. Identifying unsafe operational conditions of road traffic (pre-crash related, crash-related, post-crash related) that might have led to the occurrence of unsafe traffic situations.
3. Identifying road safety interventions that had positive/negative impact on accidents or injuries in the past.
4. Developing a methodology to assess the impact of various parameters (e.g., network description, road classification, traffic, and economics) on road safety performance.
5. Designing and developing a user friendly simulation-based DSS.
6. Proposing a number of new Road Safety Performance Indicators (RSPIs) based on a socio-technical systems-based perspective.
7. Integrating the new RSPIs into the simulation-based DSS.
8. Predicting the impact of the new RSPIs.
9. Generating a set of decision rules for best practice based on the collective knowledge of our LMIC partners.
10. Disseminating our developed DSS at local and national levels to show its capabilities in forecasting the outcomes of various policy and standards on road crashes and associated public health trauma.
If you wish to discuss any details of the project informally, please contact Dr Bani Anvari, Transportation Research Group, Email: [Email Address Removed] ,Tel: +44 (0) 2380 59 2175.
The PhD student will develop a Decision Support System (DSS) measuring the level of road safety and identifying the emergence of unsafe road conditions before a high number of fatal accidents will occur. In collaboration with our partners in four LMICs (Bangladesh, Kenya, China and Vietnam), the student will study existing road safety programs, their targets, their impacts and forecast the impact of future policy decisions on road safety. This will be achieved by:
1. Classifying the number, frequency, severity and type of accidents or injuries on roads in the four LMICs.
2. Identifying unsafe operational conditions of road traffic (pre-crash related, crash-related, post-crash related) that might have led to the occurrence of unsafe traffic situations.
3. Identifying road safety interventions that had positive/negative impact on accidents or injuries in the past.
4. Developing a methodology to assess the impact of various parameters (e.g., network description, road classification, traffic, and economics) on road safety performance.
5. Designing and developing a user friendly simulation-based DSS.
6. Proposing a number of new Road Safety Performance Indicators (RSPIs) based on a socio-technical systems-based perspective.
7. Integrating the new RSPIs into the simulation-based DSS.
8. Predicting the impact of the new RSPIs.
9. Generating a set of decision rules for best practice based on the collective knowledge of our LMIC partners.
10. Disseminating our developed DSS at local and national levels to show its capabilities in forecasting the outcomes of various policy and standards on road crashes and associated public health trauma.
If you wish to discuss any details of the project informally, please contact Dr Bani Anvari, Transportation Research Group, Email: [Email Address Removed] ,Tel: +44 (0) 2380 59 2175.
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