Interpretable data-driven demand modelling for on-demand transit services

@article{Alsaleh2021InterpretableDD,
  title={Interpretable data-driven demand modelling for on-demand transit services},
  author={Nael Alsaleh and Bilal Farooq},
  journal={Transportation Research Part A: Policy and Practice},
  year={2021}
}
  • Nael Alsaleh, B. Farooq
  • Published 27 October 2020
  • Computer Science
  • Transportation Research Part A: Policy and Practice
In recent years, with the advancements in information and communication technology, different emerging on-demand shared mobility services have been introduced as innovative solutions in the lowdensity areas, including on-demand transit (ODT), mobility on-demand (MOD) transit, and crowdsourced mobility services. However, due to their infancy, there is a strong need to understand and model the demand for these services. In this study, we developed trip production and distribution models for ODT… Expand

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