An Agent-Based Model to Simulate Ridesharing Services (Like Lyft & Uber)

9 thoughts on “An Agent-Based Model to Simulate Ridesharing Services (Like Lyft & Uber)”

  1. hello,

    This ABS model is great. I am really interested. Is it possible for you to share with me your Netlogo codes?
    Great Thanks for your reply

    Regards,
    Jie

  2. Hello Sir

    This is a pretty interesting article that I came across today. Me and my team are working on the project “Dynamic pricing for ride sharing platforms”. Would be great if you can share the code for the program you ran on the article that could boost our project work.

    Thank you.

  3. This is really impressive work, this is very related to the dynamic pricing research I’m currently working on. Do you have plans to share the codebase or open source it ?

    Thank you so much!
    Niel

  4. Great work would you share your netlogo code for academic research purposes?
    I would like to have a similar simulation for Melbourne, Australia
    Thanks, Seng

  5. I am a Ph.D Student and I’m studying about Ride-Sourcing simulation. Is it possible for you to share with me your Netlogo codes?
    Great Thanks for your reply

    Regards,
    Zainab

  6. The model is now posted here: https://www.comses.net/codebases/cc86bef6-8977-4b5c-94a9-74287e116dda/releases/1.0.0/

    The paper is posted here: https://link.springer.com/chapter/10.1007/978-3-030-20309-2_7

    Citation: Shaheen J.A.E. (2019) Simulating the Ridesharing Economy: The Individual Agent Metro-Washington Area Ridesharing Model (IAMWARM). In: Carmichael T., Collins A., Hadžikadić M. (eds) Complex Adaptive Systems. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-20309-2_7

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