Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.13016/m2uvhl-e1px
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that micro-mobility ride-sharing provides a better fulfilment of user needs. In this study, we propose a novel business model for the micro-mobility ride-sharing system where light vehicles such as electric scooters and electric bikes are crowdsourced. This new model consists of three entities, the suppliers, the customers, and a management party, which is responsible for receiving, renting, booking, and demand matching with offered resources. The proposed model has the potential to allow the suppliers to define the location of their private e-scooter/e-bike and the period of time they are available for rent, match it with a particular demand, and then offer suppliers the opportunity to get their e-scooters/e-bikes rented and returned at the end of the renting period to the same (nearby) location. The management party will need to match the e-scooter/e-bike to a series of renting demands with the last demand as a destination very close to the initial location of the e-scooter/e-bike at the start of the renting period. One potential advantage of the proposed model is that it shifts the charging and maintenance efforts to a crowd of suppliers.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://hdl.handle.net/11603/23044
- http://hdl.handle.net/11603/23044
- OA Status
- green
- Cited By
- 2
- References
- 43
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3045740245
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3045740245Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.13016/m2uvhl-e1pxDigital Object Identifier
- Title
-
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary ResultsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-30Full publication date if available
- Authors
-
Mohammed Elhenawy, Md Mostafizur Rahman Komol, Huthaifa I. Ashqar, Mohammed Almannaa, Mahmoud Masoud, Hesham Rakha, Andry RakotonirainyList of authors in order
- Landing page
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https://hdl.handle.net/11603/23044Publisher landing page
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https://hdl.handle.net/11603/23044Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11603/23044Direct OA link when available
- Concepts
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Renting, Crowdsourcing, Matching (statistics), Business, Bike sharing, Business model, Sharing economy, Computer science, Transport engineering, Operations research, Marketing, Engineering, World Wide Web, Mathematics, Statistics, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| publication_date | 2020-07-30 |
| publication_year | 2020 |
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