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Dockless Electric Scooters Worldwide: Methods and Analysis

Published: 22 November 2024 Publication History

Abstract

Usage data on Dockless Electric Scooters (DES) is crucial for developing policies and mobility applications to support shared transportation by understanding their supply and utilization. However, such data is not publicly available and prior DES studies relied on DES providers for the provision of usage data, which is often incomplete and difficult to obtain. This limits the ability to audit these datasets and study DES usage trends globally and over time. This paper addresses these limitations by introducing scalable methods to continuously collect DES data globally without relying on providers. We collect DES usage trends from 12 providers across 11 cities worldwide and examine supply and utilization trends and provider competition in this study.

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  1. Dockless Electric Scooters Worldwide: Methods and Analysis

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    cover image ACM Conferences
    SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems
    October 2024
    743 pages
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    Publication History

    Published: 22 November 2024

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    Author Tags

    1. datasets
    2. dockless e-scooters
    3. micro-mobility
    4. smart transportation

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    SIGSPATIAL '24 Paper Acceptance Rate 37 of 122 submissions, 30%;
    Overall Acceptance Rate 257 of 1,238 submissions, 21%

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