Demand forecasting for Hopp's e-scooter fleet

Cities all around the world are dealing with the adverse effects of automobile travel and are therefore moving towards a more sustainable urban transportation system. Hopp is a micromobility platform launched by a small team of software developers in Iceland in 2019. In this project, we designed, im...

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Bibliographic Details
Main Authors: Andri Fannar Pétursson 1995-, Egill Smári Snorrason 1998-, Halldór Holgersson 1995-, Jóhann Ingi Skúlason 1996-, Jón Skeggi Helgason 1999-
Other Authors: Háskólinn í Reykjavík
Format: Thesis
Language:English
Published: 2022
Subjects:
Tölvunarfræði
Vélrænt nám
Eftirspurn
Spálíkön
Rafhlaupahjól
Computer science
Machine learning
Supply and demand
Forecasting
Mathematical models
Scooters
Electric vehicles
Iceland
Online Access:http://hdl.handle.net/1946/41884
Description
Summary:Cities all around the world are dealing with the adverse effects of automobile travel and are therefore moving towards a more sustainable urban transportation system. Hopp is a micromobility platform launched by a small team of software developers in Iceland in 2019. In this project, we designed, implemented, and tested a machine learning tool that predicts the locational demand for Hopp's e-scooters in the near future. This tool aims to help reduce expenses, increase the number of rented scooters, and improve the reliability of the service.

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