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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MDPI AG
2021
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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) |
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DOAJ |
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EN |
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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 |
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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 |
work_keys_str_mv |
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