Comparative Insights Into E‐Scooter Usage Prediction Through Machine Learning and Deep Learning Techniques

Shared micromobility services are experiencing rapid growth, particularly in addressing last‐mile transportation needs. The most crucial questions focus on identifying the determinants of user behavior and the factors driving demand for micromobility vehicles. Investigating this topic is thus essent...

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Bibliographic Details
Published in:	Journal of advanced transportation Vol. 2025; no. 1
Main Authors:	Yurdakul, Gokhan, Aydin, Nezir, Seker, Sukran, Yu, Hao
Format:	Journal Article
Language:	English
Published:	London John Wiley & Sons, Inc 01.01.2025 Wiley
Subjects:	Algorithms Ambulation aids Artificial neural networks Bayesian analysis Comparative analysis Datasets Deep learning Demand Electric vehicles Emissions Energy consumption Environmental impact Forecasting Fossil fuels Greenhouse gases Heuristic methods Learning algorithms Machine learning Mathematical models Methods Motor scooters Neural networks Optimization Performance evaluation Rankings Regression analysis Scooters Traffic accidents & safety Traffic congestion Variables
ISSN:	0197-6729, 2042-3195
Online Access:	Get full text
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