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Evidence-based public policy decision-making in smart cities : does extant theory support achievement of city sustainability objectives?
ID
Mills, David
(
Author
),
ID
Pudney, Steven
(
Author
),
ID
Pevcin, Primož
(
Author
),
ID
Dvorak, Jaroslav
(
Author
)
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MD5: 40CBA750F1924DAD4150EA6BAB2D2C2E
URL - Source URL, Visit
https://www.mdpi.com/2071-1050/14/1/3
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Abstract
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.
Language:
English
Keywords:
artificial intelligence
,
big data
,
collaboration
,
decision-making
,
evidence-based policy
,
local government
,
public administration policy
,
smart city
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FU - Faculty of Administration
Publication status:
Published
Publication version:
Version of Record
Year:
2022
Number of pages:
23 str.
Numbering:
Vol. 14, iss. 1, art. 3
PID:
20.500.12556/RUL-136922
UDC:
352:004.8
ISSN on article:
2071-1050
DOI:
10.3390/su14010003
COBISS.SI-ID:
90491395
Publication date in RUL:
25.05.2022
Views:
630
Downloads:
95
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Record is a part of a journal
Title:
Sustainability
Shortened title:
Sustainability
Publisher:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.01.2022
Secondary language
Language:
Slovenian
Keywords:
umetna inteligenca
,
množični podatki
,
sodelovanje
,
odločanje
,
politika na podlagi dokazov
,
lokalna oblast
,
politika javne uprave
,
pametno mesto
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P5-0093
Name:
Razvoj sistema učinkovite in uspešne javne uprave
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