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Dr Shahram Heydari 

Lecturer in Transportation, Fellow Higher Education Academy

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Dr Shahram Heydari is a Lecturer in Transportation within Engineering and Physical Sciences at the University of Southampton.

He is a Lecturer in the Transportation Research Group, Department of Civil, Maritime and Environmental Engineering. Prior to joining the University of Southampton, he was an NSERC Research Fellow in the Centre for Environmental Policy at Imperial College London.

He has extensive experience with undertaking collaborative research across different institutions and disciplines. He was a visiting scholar at Texas A&M University and McGill University. His doctoral research has contributed significantly to the introduction of Bayesian nonparametrics as a viable and feasible alternative approach to the traffic safety research community. At Imperial College, his research was centred on transport-related air pollution, specifically traffic contribution to air pollution in urban settings.

With a background in Civil Engineering awarded by the University of Rome "La Sapienza", Shahram has several years of experience as a professional engineer in Italy. In line with his years in industry, he aims to address real-world transportation problems. He is a collaborating member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and a recipient of a number of prestigious academic awards, including the Alexander Graham Bell doctoral scholarship and the NSERC postdoctoral fellowship. As of January 2019, he is on the editorial board of Analytic Methods in Accident Research.

Research interests

Transport has a significant bearing on human health and well-being, examples of which are traffic injuries sustained by road users and people’s exposure to air pollution caused by traffic. To this end, my research is at the intersection of transportation and public health, being centred on transportation safety and planning ‒ including roadway, railway, and active modes of transport (walking and cycling). With the aim of answering policy related questions, I predominantly use advanced quantitative and computational techniques, in particular Bayesian methods such as Bayesian nonparametrics, which offer considerable promise in modelling transport.  My main research interests are as follows.

  1. Transportation safety: This area mainly focuses on fundamental research in traffic safety, including safety of roadway, railway, and active modes, with a focus on studies that provide key information for traffic injury prevention, risk mitigation, and proactive safety policy development. I am also interested in understanding traffic safety implications of new technologies such as autonomous vehicles.
  2. Transport-related air pollution and human health: Large amounts of air pollutants are produced by the transportation sector. It is therefore important to quantify traffic contribution to air quality, estimate air pollution exposure in different modes of transport, predict air quality in urban settings, and model air pollution to identify its determinants and spatiotemporal distribution. This in turn helps to design air pollution reduction strategies and estimate its adverse effects on the environment and human health.
  3. Travel demand and behavioural modelling: A number of studies have documented health benefits of autonomous vehicles, public transit, and active modes of transport. To promote healthy transportation behaviours, which also help to reduce air pollution, this area of research aims at answering questions such as how can we persuade people to choose low emission vehicles? How does people’s choice of active modes relate to their sociodemographic characteristics, physical/mental health, and well-being?


Research group

Transportation Group

Affiliate research group

Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation

Research project(s)

Road safety in low-income countries – Funded by Department for International Development

Deputy Admissions Tutor (Outreach)

Editor – Analytic Methods in Accident Research (January 2019-present)

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CENV3060 Highway and Traffic Engineering

CENV6124 (Module Lead) Transport Data Analysis and Techniques

CENV6168 Transport Management and Safety

Dr Shahram Heydari
Engineering, University of Southampton, Southampton Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF

Room Number : 176/4049

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