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Article: Building a Government-owned Open Data Platform for Connected and Autonomous Vehicles

TitleBuilding a Government-owned Open Data Platform for Connected and Autonomous Vehicles
Authors
KeywordsConnected and autonomous vehicles
Data sharing
Open data platform
Social benefits
Stakeholder analysis
Issue Date1-Jun-2024
PublisherElsevier
Citation
Cities, 2024, v. 149 How to Cite?
Abstract

The growing recognition of the societal implications stemming from technological advancements highlights the need for innovative governance approaches, particularly in urban environments. Focused on connected and autonomous vehicles (CAVs), this study proposes an integrated analytical framework for a dedicated open data platform (ODP). By integrating thematic analysis with process landscape and stakeholder analysis methods, we present a holistic CAV-ODP model positioned to optimize benefits across industries, public sectors, and society as a whole. We argue that multiple stakeholders can enhance both supply and demand aspects of the CAV-ODP, catalyzing activities such as data access, management, transformation, incubation, coordination, education, and application. Importantly, it advocates for government-led integration of interests spanning private and public domains, fostering a collaborative social network for data application and innovation. This inquiry not only reveals the social benefits generated by open CAV data but also underlines the significance of the CAV-ODP platform as an innovative governance arrangement, serving as a catalyst for a culture of sharing, bolstering collaborative governance, and preserving public value amid disruptive technological changes. Overall, the concept of government leadership is universally applicable, with the tangible power dynamics among the government, private sectors, and society influencing the expeditious materialization of the proposed framework.


Persistent Identifierhttp://hdl.handle.net/10722/357331
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 1.733
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDeng, Handuo-
dc.contributor.authorHu, Qi-
dc.contributor.authorGuan, Chenghe-
dc.contributor.authorChen, Yi Samuel-
dc.contributor.authorMenendez, Monica-
dc.date.accessioned2025-06-23T08:54:45Z-
dc.date.available2025-06-23T08:54:45Z-
dc.date.issued2024-06-01-
dc.identifier.citationCities, 2024, v. 149-
dc.identifier.issn0264-2751-
dc.identifier.urihttp://hdl.handle.net/10722/357331-
dc.description.abstract<p>The growing recognition of the societal implications stemming from technological advancements highlights the need for innovative governance approaches, particularly in <a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/sustainable-urban-development" title="Learn more about urban environments from ScienceDirect's AI-generated Topic Pages">urban environments</a>. Focused on connected and autonomous vehicles (CAVs), this study proposes an integrated analytical framework for a dedicated <a href="https://www.sciencedirect.com/topics/social-sciences/open-data" title="Learn more about open data from ScienceDirect's AI-generated Topic Pages">open data</a> platform (ODP). By integrating thematic analysis with process landscape and <a href="https://www.sciencedirect.com/topics/social-sciences/stakeholder-analysis" title="Learn more about stakeholder analysis from ScienceDirect's AI-generated Topic Pages">stakeholder analysis</a> methods, we present a holistic CAV-ODP model positioned to optimize benefits across <a href="https://www.sciencedirect.com/topics/economics-econometrics-and-finance/industry" title="Learn more about industries from ScienceDirect's AI-generated Topic Pages">industries</a>, public sectors, and society as a whole. We argue that multiple stakeholders can enhance both supply and demand aspects of the CAV-ODP, catalyzing activities such as data access, management, transformation, incubation, coordination, education, and application. Importantly, it advocates for government-led integration of interests spanning private and public domains, fostering a collaborative social network for data application and innovation. This inquiry not only reveals the <a href="https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/social-benefit" title="Learn more about social benefits from ScienceDirect's AI-generated Topic Pages">social benefits</a> generated by open CAV data but also underlines the significance of the CAV-ODP platform as an innovative governance arrangement, serving as a catalyst for a culture of sharing, bolstering <a href="https://www.sciencedirect.com/topics/social-sciences/collaborative-governance" title="Learn more about collaborative governance from ScienceDirect's AI-generated Topic Pages">collaborative governance</a>, and preserving public value amid disruptive technological changes. Overall, the concept of government leadership is universally applicable, with the tangible power dynamics among the government, <a href="https://www.sciencedirect.com/topics/social-sciences/private-sector" title="Learn more about private sectors from ScienceDirect's AI-generated Topic Pages">private sectors</a>, and society influencing the expeditious materialization of the proposed framework.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofCities-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectConnected and autonomous vehicles-
dc.subjectData sharing-
dc.subjectOpen data platform-
dc.subjectSocial benefits-
dc.subjectStakeholder analysis-
dc.titleBuilding a Government-owned Open Data Platform for Connected and Autonomous Vehicles-
dc.typeArticle-
dc.identifier.doi10.1016/j.cities.2024.104918-
dc.identifier.scopuseid_2-s2.0-85186978924-
dc.identifier.volume149-
dc.identifier.eissn1873-6084-
dc.identifier.isiWOS:001201970300001-
dc.identifier.issnl0264-2751-

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