Ali Mansourian
Professor
A machine learning based approach for predicting usage efficiency of shared e-scooters using vehicle availability data
Author
Editor
- E. Parseliunas
- A. Mansourian
- P. Partsinevelos
- J. Suziedelyte-Visockiene
Summary, in English
Department/s
- Centre for Advanced Middle Eastern Studies (CMES)
- MECW: The Middle East in the Contemporary World
- Dept of Physical Geography and Ecosystem Science
- Centre for Geographical Information Systems (GIS Centre)
Publishing year
2022
Language
English
Publication/Series
AGILE: GIScience Series, 3, 20, 2022
Volume
3
Document type
Conference paper
Publisher
Copernicus GmbH
Topic
- Earth and Related Environmental Sciences
Keywords
- Micro-mobility
- E-scootersharing
- Usage efficiency
- Spatiotemporalanalysis
- Machine learning
- Vehicle availability data
- Artificial Intelligence (AI)
- Geospatial Artificial Intelligence (GeoAI)
Conference name
25th AGILE Conference on Geographic Information Science
Conference date
2022-06-14 - 2022-06-17
Conference place
Vilnius, Lithuania
Status
Published