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    An artificial neural network based approach to investigate travellers’ decision rules

    van Cranenburgh, Sander / Alwosheel, Ahmad | Elsevier | 2019

    An artificial neural network based method to uncover the value-of-travel-time distribution

    Freier Zugriff
    van Cranenburgh, Sander / Kouwenhoven, Marco | Online Contents | 2020

    Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands

    Shelat, Sanmay / Cats, Oded / van Cranenburgh, Sander | Elsevier | 2022

    Substitutability as a spatial concept to evaluate travel alternatives

    van Wee, Bert / van Cranenburgh, Sander / Maat, Kees | Elsevier | 2019

    Why did you predict that? Towards explainable artificial neural networks for travel demand analysis

    Alwosheel, Ahmad / van Cranenburgh, Sander / Chorus, Caspar G. | Elsevier | 2021

    New insights on random regret minimization models

    van Cranenburgh, Sander / Guevara, Cristian Angelo / Chorus, Caspar G. | Elsevier | 2015

    Substantial Changes and Their Impact on Mobility: A Typology and an Overview of the Literature

    Van Cranenburgh, Sander / Chorus, Caspar / Van Wee, Bert | Taylor & Francis Verlag | 2012

    Simulation Study on Impacts of High Aviation Carbon Taxes on Tourism

    Application of Portfolio Vacation Choice Model
    Van Cranenburgh, Sander / Chorus, Caspar G. / van Wee, Bert | Transportation Research Record | 2014

    Inferring vehicle spacing in urban traffic from trajectory data

    Jiao, Yiru / Calvert, Simeon C. / van Cranenburgh, Sander et al. | Elsevier | 2023