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Last updated January 2025.

Nima is a Lecturer (Assistant Professor) in Transport and Business Analytics at the Huddersfield Business School, University of Huddersfield, UK. He is the Secretary and executive committee member of the Universities Transport Study Group (UTSG) which includes 60 universities across the UK (https://utsg.net/).

Currently, Nima is the principal investigator of the “Modelling Travel Behaviours During Weather-related Disruptions in West Yorkshire” project funded by the UKRI National Hub for Decarbonised, Adaptable, and Resilient Transport Infrastructures: DARe (funded by EPSRC and DfT).

Nima has around 14 years of academic and industry experience in 4 countries. He has collaborated in interdisciplinary research and technical projects with academic and business partners in the UK and worldwide. 

Before joining the HBS, he worked as a postdoctoral research fellow at the University of Portsmouth (UK) where he led the "Travel Behaviour Modelling" workstream for the Future Transport Zone Mobility-as-a-Service project (funded by the DfT) in the Solent region. He was also the PI and Co-PI of the two projects funded by the Reserch England and Universities UK International (UUKi).

He was a Management Committee (MC) Member from Slovenia, in EU COST Action CA16222: Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport between 2020-2022. He also worked as a researcher in two EU Interreg-funded projects, namely MUSE and EN-IN, and many local traffic/transportation projects in Slovenia and Turkey (Türkiye). 

Traffic Engineering:

• Microscopic and mesoscopic traffic simulation,
• Public transport priority methods (bus lane, transit signal priority)
• Conventional and smart junction design (adaptive signal control)
• Traffic impact studies

Transport planning and modelling:

• Macroscopic transport network modelling
• Travel behaviour modelling using statistical and econometric models (discrete choice modelling considering observed and unobserved heterogeneity)
• Travel behaviour change monitoring and evaluation using quantitative and qualitative methods
• Evaluating Individuals' attitudes towards emerging transportation systems:
  • Mobility as a Service (MaaS)
  • Shared Mobility Modes: bike-sharing, scooter-sharing, car-sharing, carpooling
  • Autonomous and Connected Vehicles
  • Demand Responsive Transit (DRT)
• Demand Modelling and Market Analysis: Willingness to Pay and Market Share analysis for new products/services