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Defining smart mobility service levels via text miningoa mark
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Publication Year
2020-11-01
Journal
Sustainability (Switzerland)
Publisher
MDPI
Citation
Sustainability (Switzerland), Vol.12 No.21, pp.1-14
Keyword
Integrated mobilityPersonalized user servicesSharingSmart mobilityText mining
All Science Classification Codes (ASJC)
Computer Science (miscellaneous)Geography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentEnvironmental Science (miscellaneous)Energy Engineering and Power TechnologyHardware and ArchitectureComputer Networks and CommunicationsManagement, Monitoring, Policy and Law
Abstract
The concept of smart mobility depends on a country’s or city’s visions and surroundings, such as traffic issues and available transportation modes. This study, therefore, proposes a clear and consistent set of definitions for smart mobility, in the context of past, present, and future, based on investigations of smart mobility practices in South Korea and overseas. In addition, smart mobility definitions are collected from various written sources and analyzed via text mining to define levels of smart mobility beyond the present service level. This study therefore defines smart mobility in six stages: level 0, base infrastructure; level 1, individual digitization; level 2, partial integration; level 3, full integration; level 4, personalized integration; and level 5, mobility transformation. The definition of each stage includes the scope of transportation modes to be integrated, required technology level, mobility operations, and user convenience. This definition of smart mobility by stage will be beneficial for setting the targeted levels of smart mobility services in projects and for setting goals not only in the present context but also for the future of smart mobility, which will be utilized as a roadmap for the implementation of smart mobility in many countries and cities.
ISSN
2071-1050
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/31661
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85095854059&origin=inward
DOI
https://doi.org/2-s2.0-85095854059
Journal URL
https://www.mdpi.com/2071-1050/12/21/9293/pdf
Type
Article
Funding
Funding: This research was supported by the new faculty fund of Ajou University (Jaehyun So).
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So, Jaehyun 소재현
Department of Transportation System Engineering
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