Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas

The emergence of micromobility services in the form of dockless shared e-scooters has resulted in a wide range of behavioral changes in urban environments. In order to effectively steer these changes towards sustainability targets, the characteristics of e-scooter trips and users’ behaviors should b...

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Autores principales: Samira Dibaj, Aryan Hosseinzadeh, Miloš N. Mladenović, Robert Kluger
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/2376803b32b144e9b0306094b4182a6c
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spelling oai:doaj.org-article:2376803b32b144e9b0306094b4182a6c2021-11-11T19:30:07ZWhere Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas10.3390/su1321117922071-1050https://doaj.org/article/2376803b32b144e9b0306094b4182a6c2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11792https://doaj.org/toc/2071-1050The emergence of micromobility services in the form of dockless shared e-scooters has resulted in a wide range of behavioral changes in urban environments. In order to effectively steer these changes towards sustainability targets, the characteristics of e-scooter trips and users’ behaviors should be understood further. However, there is a lack of systematic literature reviews in this domain. To address this gap, we provide a two-fold systematic literature review. The first aspect focuses on the categorization of temporal and spatial patterns of shared e-scooter usage. The second aspect focuses on a deeper understanding of e-scooter users’ behaviors, utilizing the principles of persona design. The analysis of temporal patterns highlights the commonality of midday, evening, and weekend peak usage across cities, while spatial patterns suggest e-scooters are used for traveling to recreational and educational land use, as well as city center areas. The synthesis of findings on users’ behaviors has resulted in six categories, with four user types based on usage frequency (one time, casual, power, and non-adopters), and two motivation-based personas (users who are not satisfied with current mobility options and users who have had positive travel experience from e-scooter usage). The overall findings provide important lessons for evaluating this emerging mobility service, which should be considered for steering its development in public-private stakeholder networks.Samira DibajAryan HosseinzadehMiloš N. MladenovićRobert KlugerMDPI AGarticleelectric scooterrental e-scootermicromobilitymicro personal mobility vehiclesspatial analysistemporal analysisEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11792, p 11792 (2021)
institution DOAJ
collection DOAJ
language EN
topic electric scooter
rental e-scooter
micromobility
micro personal mobility vehicles
spatial analysis
temporal analysis
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle electric scooter
rental e-scooter
micromobility
micro personal mobility vehicles
spatial analysis
temporal analysis
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Samira Dibaj
Aryan Hosseinzadeh
Miloš N. Mladenović
Robert Kluger
Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
description The emergence of micromobility services in the form of dockless shared e-scooters has resulted in a wide range of behavioral changes in urban environments. In order to effectively steer these changes towards sustainability targets, the characteristics of e-scooter trips and users’ behaviors should be understood further. However, there is a lack of systematic literature reviews in this domain. To address this gap, we provide a two-fold systematic literature review. The first aspect focuses on the categorization of temporal and spatial patterns of shared e-scooter usage. The second aspect focuses on a deeper understanding of e-scooter users’ behaviors, utilizing the principles of persona design. The analysis of temporal patterns highlights the commonality of midday, evening, and weekend peak usage across cities, while spatial patterns suggest e-scooters are used for traveling to recreational and educational land use, as well as city center areas. The synthesis of findings on users’ behaviors has resulted in six categories, with four user types based on usage frequency (one time, casual, power, and non-adopters), and two motivation-based personas (users who are not satisfied with current mobility options and users who have had positive travel experience from e-scooter usage). The overall findings provide important lessons for evaluating this emerging mobility service, which should be considered for steering its development in public-private stakeholder networks.
format article
author Samira Dibaj
Aryan Hosseinzadeh
Miloš N. Mladenović
Robert Kluger
author_facet Samira Dibaj
Aryan Hosseinzadeh
Miloš N. Mladenović
Robert Kluger
author_sort Samira Dibaj
title Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
title_short Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
title_full Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
title_fullStr Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
title_full_unstemmed Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas
title_sort where have shared e-scooters taken us so far? a review of mobility patterns, usage frequency, and personas
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/2376803b32b144e9b0306094b4182a6c
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AT milosnmladenovic wherehavesharedescooterstakenussofarareviewofmobilitypatternsusagefrequencyandpersonas
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