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Title:

Joint Analysis of Scooter Sharing and Bikesharing Usage: A Structural Equation Modeling Approach

Accession Number:

01764292

Record Type:

Component

Abstract:

Shared dockless scooters are expanding across the world rapidly, serving as a strong alternative to the bikesharing system. Limited studies shed light on the usage characteristics of this emerging service, and relatively little is known about its similarities and differences with bikesharing. This study compares the key factors related to bikesharing and shared scooters as well as their relationships in the city of Minneapolis. A set of negative binomial regressions are built under the framework of structural equation modeling to specify causal mechanisms between bikesharing and scooter sharing across different periods, controlling for exogenous variables including social demographics, transportation facilities, land use, and spatial features. Findings confirm a significantly positive direct effect from bikesharing to scooter sharing, while the reverse effect is insignificant. Besides, bikesharing and scooter sharing are both more popular in areas with higher population density, higher income, more youngsters, and more commercial/public/mixed-use lands. Compared with scooter sharing, bikesharing users ride more for commuting, rely more on bicycle lanes, and have a more stable complementary relationship with transit. Findings are essential to help different shared micromobility services find their corresponding niches, as well as to guide the sustainable development of the mixed shared micromobility system.

Supplemental Notes:

This paper was sponsored by TRB committee ACH20 Standing Committee on Bicycle Transportation.

Report/Paper Numbers:

TRBAM-21-00511

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Jing, Yi
Hu, Songhua
Lin, Hangfei

Pagination:

18p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00511

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:24AM