Evidence-based public policy decision-making in smart cities : does extant theory support achievement of city sustainability objectives?

Mills, David (avtor), Pudney, Steven (avtor), Pevcin, Primož (avtor), Dvorak, Jaroslav (avtor)

Evidence-based decision-making is promoted as offering efficiency and effectiveness; however, its uptake has faced barriers such as underdeveloped supporting culture, limited access to evidence, and evidence that is not fully relevant. Smart city conceptualizations offer economic and environmental sustainability and better quality of life through evidence-based policy decision-making. We wondered whether smart city theory and practice has advanced the knowledge of evidence-based decision-making. We searched major databases for literature containing a mention of smart cities, decision-making, and policy. We identified relevant literature from a range of disciplines and supplemented these by following backwards and forwards citations. Evidence-based decision-making was found mostly in literature regarding the theory and practice of smart city operations, and, to lesser extents, the articles regarding policy decisions and tactical decisions. Better decision-making which supported the achievement of city sustainability objectives was reported in some articles; however, we found significant obstacles to the further achievement of city objectives in the areas of underachievement in collaborative decision-making, privileging of big data evidence, and artificial intelligence agents as decision-makers. We assembled a definition of smart city decision-making and developed an agenda of research which will support city governments, theorists, and practitioners in better achieving sustainability through improved decision-making.

• Jezik: Angleški jezik
• Ključne besede: artificial intelligence, big data, collaboration, decision-making, evidence-based policy, local government, public administration policy, smart city
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FU - Fakulteta za upravo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 23 str.
• Številčenje: Vol. 14, iss. 1, art. 3
• PID: 20.500.12556/RUL-136922
• UDK: 352:004.8
• ISSN pri članku: 2071-1050
• DOI: 10.3390/su14010003
• COBISS.SI-ID: 90491395
• Datum objave v RUL: 25.05.2022

Gradivo je del revije

• Naslov: Sustainability
• Skrajšan naslov: Sustainability
• Založnik: MDPI
• ISSN: 2071-1050
• COBISS.SI-ID: 5324897

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.01.2022

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: umetna inteligenca, množični podatki, sodelovanje, odločanje, politika na podlagi dokazov, lokalna oblast, politika javne uprave, pametno mesto

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P5-0093
• Naslov: Razvoj sistema učinkovite in uspešne javne uprave