Work

Understanding shared micromobility travel patterns through a deep embedded clustering approach

Year: 2025

Type: article

Source: Environment and Planning B Urban Analytics and City Science

DOI: 10.1177/23998083251413417

Authors: Brian Yueshuai He, Robert Kluger

Institution: University of Louisville

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: RII Track-1: Climate Resilience through Multidisciplinary Big Data Learning, Prediction & Building Response Systems (CLIMBS)

OpenAlex ID: W7117326877

FWCI: 0.253

Cites: 36

Cited by: 1

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