148 citations · 338 across the 8 of their papers we have counts for
10 papers
A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour
Georges Sfeir, Stephane Hess, Thomas O. Hancock +5
Many travel decisions involve a degree of experience formation, where individuals learn their preferences over time. At the same time, there is extensive scope for heterogeneity ac…
Statistical significance in choice modelling: computation, usage and reporting
Stephane Hess, Andrew Daly, Michiel Bliemer +3
This paper offers a commentary on the use of notions of statistical significance in choice modelling. We review the reasons for uncertainty in parameter estimates, provide a precis…
Structure and temporal evolution of transportation literature
Milad Haghani, Michiel C. J. Bliemer
Fifty years of evolution of the transportation field is revisited at a macro scale using scientometric analysis of all publications in all 39 journals indexed in the category of Tr…
Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods
Milad Haghani, Michiel C. J. Bliemer, John M. Rose +2
This paper reviews methods of hypothetical bias (HB) mitigation in choice experiments (CEs). It presents a bibliometric analysis and summary of empirical evidence of their effectiv…
Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity
Milad Haghani, Michiel C. J. Bliemer, John M. Rose +2
The notion of hypothetical bias (HB) constitutes, arguably, the most fundamental issue in relation to the use of hypothetical survey methods. Whether or to what extent choices of s…
Applications of brain imaging methods in driving behaviour research
Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq +5
Applications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro-cog…
Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCov literature
Milad Haghani, Michiel C. J. Bliemer
During the current century, each major coronavirus outbreak has triggered a quick surge of academic publications on this topic. The spike in research publications following the 201…
Generalized Multivariate Extreme Value Models for Explicit Route Choice Sets
Erik-Sander Smits, Adam J. Pel, Michiel C. J. Bliemer +1
This paper analyses a class of route choice models with closed-form probability expressions, namely, Generalized Multivariate Extreme Value (GMEV) models. A large group of these mo…
Network Science approach to Modelling Emergence and Topological Robustness of Supply Networks: A Review and Perspective
Supun Perera, Michael Bell, Michiel Bliemer
Due to the increasingly complex and interconnected nature of global supply chain networks (SCNs), a recent strand of research has applied network science methods to model SCN growt…
Network growth models: A behavioural basis for attachment proportional to fitness
Michael Bell, Supun Perera, Mahendrarajah Piraveenan +3
Several growth models have been proposed in the literature for scale-free complex networks, with a range of fitness-based attachment models gaining prominence recently. However, th…