Spatial analysis of shared e-scooter trips

Aryan Hosseinzadeh, Majeed Algomaiah, Robert Kluger and Zhixia Li

Journal of Transport Geography, 2021, vol. 92, issue C

Abstract: Shared e-scooters have become a common mode of transportation in many cities around the world. E-sooters provide convenient and quick rides for short distances and can act as a connection for first/last mile trips. To date, limited studies have explored the spatial variation of e-scooter trips and there is knowledge to be gained by investigating variables associated with e-scooter trip generation. This study implemented a spatial analysis approach, Geographical Weighted Regression (GWR), to explore how factors relating to demographics, density, diversity, design, urbanism scores, distance to transit and other transportation-related variables influence e-scooter trips in Louisville, KY. More than 400,000 e-scooter trips across 159 Traffic Analysis Zones (TAZs) were included in the study. Results show TAZ-level factors including land use, age distribution, gender distribution, Walk Score and Park Score impacted the density of e-scooters trips in the TAZ. The GWR model showed improvements over a global Ordinary Least Squares (OLS) model. Local goodness of fit ranged from 0.732–0.895 across the study area. This study can help governments and e-scooter sharing companies develop policies that maximize e-scooter use, equity, and accessibility while improving the mobility of cities.

Keywords: Micromobility; Spatial analysis; Geographically weighted regression; Shared e-scooter; E-scooter sharing system (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:92:y:2021:i:c:s0966692321000697

DOI: 10.1016/j.jtrangeo.2021.103016

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