Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European citiesShow others and affiliations
2024 (English)In: Cities, ISSN 0264-2751, E-ISSN 1873-6084, Vol. 148, article id 104851Article in journal (Refereed) Published
Abstract [en]
An understanding of how modern Open Data Ecosystems (ODEs) work is critical in the context of current trends towards sustainability and smartness, while is seen to be an asset to support urban governance and development, in coordinating actions, and fostering civic engagement. This paper aims to establish such understanding by analyzing the contextual patterns, platforms, and components shaping sustainable ODEs by employing platform theory. This study explores and compares characteristics, similarities, differences, and best approaches in 19 cities across 8 countries. In this study we (1) identify 50 patterns that influence and shape sustainable ODEs and their platforms, i.e., Open Data Platform Ecosystems (ODPEs); (2) explore the relationships between platforms and other ODPEs components by developing a respective model, and identifying internal platforms and other components; (3) empirically validate the conceptual findings of five types of ODPEs presented in the literature, redefining them from the conceptual to real-life implementation of the respective components in sample cities; (4) considering the experience gained during the study with respect to the ODPEs and external pressures and environments that shape or influence them, we define 12 recommendations for policy planning and urban governance of more sustainable ODEs.
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 148, article id 104851
Keywords [en]
Multi-country comparative study, Open data ecosystem, Open data platform ecosystem, Smart city, Urban development, Urban governance, Europe, comparative study, sustainability, theoretical study, urban politics
National Category
Computer Sciences Environmental Sciences Other Civil Engineering
Identifiers
URN: urn:nbn:se:vti:diva-20337DOI: 10.1016/j.cities.2024.104851ISI: 001180830600001Scopus ID: 2-s2.0-85183968759OAI: oai:DiVA.org:vti-20337DiVA, id: diva2:1838619
Note
Research funding provided by: The Regional Government of Andalusia, Spain (Research projects number P20_00314 and B-SEJ-556-UGR20) and partly by The institutional support of the University of Pardubice and by European Social Fund via IT Academy programme, University of Tartu, Estonia.
2024-02-162024-02-162024-03-22Bibliographically approved