LAPSE:2023.0081
Published Article

LAPSE:2023.0081
Behavioral Model Deployment for the Transportation Projects within a Smart City Ecosystem: Cases of Germany and South Korea
February 17, 2023
Abstract
This research focused on a behavioral model as a significant tangible enabler for smart city plans and initiatives across Asian and EU regions as per transportation projects. This study aimed to create a behavioral model to serve as a planning tool for policymakers, planners, and implementers of transportation initiatives in smart cities. The paper discusses the validity of the proposed model framework for fostering the diffusion of a successful smart city project transformation in a general smart city ecosystem and particularly within the transportation industry. The framework was verified using three different methods: literature review to give a speculative understanding of current smart city approaches; case studies from Germany and South Korea smart city ecosystems that were selected and applied against the behavioral model; and finally, desktop research (behavioral model) performed for smart city project development. As a result, the authors recognized key variables for deriving a possible successful behavioral model as a suggested efficient framework for further smart city strategic projects. Researchers developed and tested, with two validated examples, the suggested behavioral model for smart city projects with a focus on the transportation industry. Results of this survey could help stakeholders in different countries analyze factors influencing decision-making processes and adopt smart city projects to local business environments.
This research focused on a behavioral model as a significant tangible enabler for smart city plans and initiatives across Asian and EU regions as per transportation projects. This study aimed to create a behavioral model to serve as a planning tool for policymakers, planners, and implementers of transportation initiatives in smart cities. The paper discusses the validity of the proposed model framework for fostering the diffusion of a successful smart city project transformation in a general smart city ecosystem and particularly within the transportation industry. The framework was verified using three different methods: literature review to give a speculative understanding of current smart city approaches; case studies from Germany and South Korea smart city ecosystems that were selected and applied against the behavioral model; and finally, desktop research (behavioral model) performed for smart city project development. As a result, the authors recognized key variables for deriving a possible successful behavioral model as a suggested efficient framework for further smart city strategic projects. Researchers developed and tested, with two validated examples, the suggested behavioral model for smart city projects with a focus on the transportation industry. Results of this survey could help stakeholders in different countries analyze factors influencing decision-making processes and adopt smart city projects to local business environments.
Record ID
Keywords
behavioral model, Germany, key variables, project, smart city ecosystem, South Korea, transportation industry
Subject
Suggested Citation
Shvetsova O, Bialevich A, Kim J, Voronina M. Behavioral Model Deployment for the Transportation Projects within a Smart City Ecosystem: Cases of Germany and South Korea. (2023). LAPSE:2023.0081
Author Affiliations
Shvetsova O: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea [ORCID]
Bialevich A: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea
Kim J: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea
Voronina M: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea; School of Engineering Business and Management, Bauman Moscow State Technical University, Moscow 105005, Russia
Bialevich A: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea
Kim J: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea
Voronina M: School of Industrial Management, Korea University of Technology and Education (KOREATECH), Cheonan 31254, Republic of Korea; School of Engineering Business and Management, Bauman Moscow State Technical University, Moscow 105005, Russia
Journal Name
Processes
Volume
11
Issue
1
First Page
48
Year
2022
Publication Date
2022-12-26
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11010048, Publication Type: Journal Article
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LAPSE:2023.0081
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https://doi.org/10.3390/pr11010048
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[v1] (Original Submission)
Feb 17, 2023
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Feb 17, 2023
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