Data driven methods for effective micromobility parking

Data driven methods for effective micromobility parking

In this work, we propose a data-driven method to use proven clustering algorithms for establishing shared electric scooter (SES) parking locations and assessing their anticipated utilization. We first address the problem of finding locations for a given number of parking facilities, based pur0ely on...

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Bibliographic Details
Main Authors: Ricardo Sandoval, Caleb Van Geffen, Michael Wilbur, Brandon Hall, Abhishek Dubey, William Barbour, Daniel B. Work
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
micromobility
Clustering
Dockless scooters
Urban planning
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198221000750

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