Modelling Travelers’ Behavior in the Presence of Reward Schemes Offered for Green Multimodal Choices

  • Amalia PolydoropoulouEmail author
  • Ioanna Pagoni
  • Athena Tsirimpa
  • Ioannis Tsouros
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)


This paper aims to investigate the effectiveness of reward-based schemes on altering traveler’s decision making towards sustainable multimodal transportation. For this purpose, a questionnaire survey is conducted in the context of the EC-H2020 funded project “OPTIMUM” within which suitable stated preference experiments are designed. Apart from the traditional multimodal attributes, such as travel time and travel cost, each stated preference experiment is supplemented by an attribute which represents a reward-based scheme. A mixed logit model is estimated where the individual’s utility is linearly dependent on the respondent’s socio-demographics and the attributes of the different multimodal alternatives. Our analysis indicates that, overall, the reward-based incentives could slightly contribute to the promotion of sustainable and emerging transport services. In specific, offering credits and monetary rewards may be effective in altering travellers’ behavior, while the provision of other non-financial passenger services does not influence individuals’ travel choice. In addition, it is found that individuals are more likely to use car-sharing in the presence of monetary rewards, while the alternatives “Public transport with bike-sharing” and “Public transport with Bicycle” are positively affected in the presence of credits.


Reward schemes Credits Mixed logit model Stated preference data Multimodal choices 



This research is part of OPTIMUM Project “Multi-source Big Data Fusion Driven Proactivity for Intelligent Mobility”. This project has received funding from the European Union’s (EU) Horizon 2020 Research and Innovation programme under grant agreement No 636160. This publication reflects the authors’ view and EU is not liable for any use that may be made of the information contained therein.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Amalia Polydoropoulou
    • 1
    Email author
  • Ioanna Pagoni
    • 1
  • Athena Tsirimpa
    • 1
  • Ioannis Tsouros
    • 1
  1. 1.Department of Shipping, Trade and TransportUniversity of the AegeanChiosGreece

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