Opens in a new tab
Kuldeep Kavta
Postdoctoral Researcher

Kuldeep Kavta

Kuldeep Kavta is a postdoctoral researcher in the Transport and Logistics section at Delft University of Technology. He studies how people make and adapt travel choices to support urban transport and logistics systems that are sustainable, efficient, safe, and equitable. His work combines discrete choice modelling, behavioural science, psychology, and empirical data analysis to understand responses to policy interventions and develop predictive travel-behaviour models.

At TU Delft, he is affiliated with the ORBIT, SUM, and hEAT labs. He contributes to the PROSPER project, leading behavioural research on online food-delivery systems, and his earlier work includes the SINERGI, MetaCCAZE, and eHUBS projects. Before joining TU Delft, he was a research associate in Newcastle University's Future Mobility Group. He holds a PhD from the Indian Institute of Technology Kharagpur.

Office31.B3.040
Research interestsTravel behaviour · Discrete choice modelling · Behavioural science · Urban transport and logistics · Shared and electric mobility · Rider safety and online food delivery

Publications

Transportation Research Part C: Emerging Technologies journal cover
BibTeX
% VERIFIED; verified 2026-10-11
@article{orbit-203e5c6925fc8644,
  title = {Estimating the value of safety against road crashes: A stated preference experiment on route choice of food delivery riders},
  author = {Kavta, Kuldeep and Azadeh, Shadi Sharif and Maknoon, Yousef and Wang, Yihong and Homem de Almeida Correia, Gonçalo},
  journal = {Transportation Research Part C: Emerging Technologies},
  year = {2025},
  volume = {179},
  pages = {105272},
  eid = {105272},
  doi = {10.1016/j.trc.2025.105272},
  url = {https://doi.org/10.1016/j.trc.2025.105272},
  issn = {0968-090X, 1879-2359},
  publisher = {Elsevier BV},
  abstract = {The rapid growth of the online food delivery industry has led to a significant increase in the number of delivery riders navigating urban streets, predominantly using bikes and e-bikes. This growth has been accompanied by a concerning rise in crashes involving these riders, posing a critical challenge for city authorities and policymakers. Promoting safer riding behavior, such as choosing safer routes while delivering food, can potentially reduce crash risks. With this motivation, this paper aims to evaluate the effectiveness of strategies that encourage riders to choose safer routes and estimate the value riders place on reducing the risk of road crashes. The paper presents a stated preference experiment conducted with food delivery riders in Amsterdam and Copenhagen to assess two targeted strategies: ’safety information’ and ’monetary incentives’, designed to encourage riders toward selecting safer routes. The results from the route choice model show that presenting information about safety against crashes on different routes and offering monetary incentives can effectively motivate riders to choose safer routes, even if these are longer. The trade-offs riders make between safer and shorter routes were quantified by calculating the Value of Risk Reduction (VRR) and Willingness to Accept (WTA) indicators, which offer valuable insights into riders’ safety preferences. These indicators highlight how much riders value risk reduction and the compensation required to choose safer routes. Furthermore, the findings reveal that factors related to riders’ working arrangements and socio-demographic profiles significantly influence their route choice decisions. The paper concludes with a discussion about the practical challenges associated with implementing the strategies to enhance rider safety and proposing potential solutions that can be useful for food delivery platforms and policymakers.},
  keywords = {Discrete choice experiment, Food delivery riders, Gig workers, Meal delivery, Route choice, Safety},
}
Transportation Research Part D: Transport and Environment journal cover
Behavioral impact of range anxiety and unlock fees on shared electric-moped usage
Transportation Research Part D: Transport and Environment2025
BibTeX
% VERIFIED; verified 2026-10-11
@article{orbit-fa571a0660cd53ee,
  title = {Behavioral impact of range anxiety and unlock fees on shared electric-moped usage},
  author = {Burghardt, Sören Paul and Momen, Sara and Maknoon, Yousef and Azadeh, Shadi Sharif and Kavta, Kuldeep},
  journal = {Transportation Research Part D: Transport and Environment},
  year = {2025},
  volume = {145},
  pages = {104772},
  eid = {104772},
  doi = {10.1016/j.trd.2025.104772},
  url = {https://doi.org/10.1016/j.trd.2025.104772},
  issn = {1361-9209, 1879-2340},
  publisher = {Elsevier BV},
  abstract = {The evolving field of electric moped sharing systems is shaped by various determinants influencing user preferences, including range anxiety, pricing strategies, and regulatory changes. Utilizing a stated preference approach with a hybrid choice model, this research explores how these factors, along with attitudinal constructs, impact user decisions. The findings reveal that remaining driving range plays a critical role, with significant individual variability in its sensitivity, while perceived range anxiety did not significantly influence choices. Recent changes in helmet regulations have shifted preferences towards faster vehicles. Furthermore, dynamic pricing strategies, such as adjusting ride or unlock fees, can incentivize the use of less desirable vehicles with lower battery range or aid in user-based relocation. Nevertheless, low-range vehicles are less likely to be chosen, even with incentives. These insights provide valuable guidance for operators of electric moped sharing system to improve fleet management and optimize user satisfaction through strategic pricing and battery management.},
  keywords = {Electric moped sharing systems, Hybrid choice model, Pricing, Range anxiety, Shared micromobility, Stated preferences},
}