Smart Cities Governance

2016 ◽  
Vol 34 (6) ◽  
pp. 724-739 ◽  
Author(s):  
Walter Castelnovo ◽  
Gianluca Misuraca ◽  
Alberto Savoldelli

Most of the definitions of a “smart city” make a direct or indirect reference to improving performance as one of the main objectives of initiatives to make cities “smarter”. Several evaluation approaches and models have been put forward in literature and practice to measure smart cities. However, they are often normative or limited to certain aspects of cities’ “smartness”, and a more comprehensive and holistic approach seems to be lacking. Thus, building on a review of the literature and practice in the field, this paper aims to discuss the importance of adopting a holistic approach to the assessment of smart city governance and policy decision making. It also proposes a performance assessment framework that overcomes the limitations of existing approaches and contributes to filling the current gap in the knowledge base in this domain. One of the innovative elements of the proposed framework is its holistic approach to policy evaluation. It is designed to address a smart city’s specificities and can benefit from the active participation of citizens in assessing the public value of policy decisions and their sustainability over time. We focus our attention on the performance measurement of codesign and coproduction by stakeholders and social innovation processes related to public value generation. More specifically, we are interested in the assessment of both the citizen centricity of smart city decision making and the processes by which public decisions are implemented, monitored, and evaluated as regards their capability to develop truly “blended” value services—that is, simultaneously socially inclusive, environmentally friendly, and economically sustainable.

Smart Cities ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 48-73
Author(s):  
Maroula N. Alverti ◽  
Kyriakos Themistocleous ◽  
Phaedon C. Kyriakidis ◽  
Diofantos G. Hadjimitsis

The smart city notion provides an integrated and systematic answer to challenges facing cities today. Smart city policy makers and technology vendors are increasingly stating their interest in human-centered smart cities. On the other hand, in many studies smart city policies bring forward a one-size-fits-all type of recommendation for all areas in question instead of location-specific ones. Based on the above considerations, this paper illustrates that smart citizen characteristics, alongside local urban challenges, are paving the way towards more effective efforts in smart city policy decision making. Our main presumption is that the development level of human-centered indicators of smart cities varies locally. The scientific objective of this paper is to find a simple, understandable link between human smart characteristics and local determinants in Limassol city, Cyprus. The data set consists of seven indicators defined as human smart characteristics and seven which determine local urban challenges consisting of demographic dynamics and built infrastructure attributes based on housing. Correlations of the 14 above indicators are examined in entirety and separately, as the study area was divided into three spatial sub-groups (high, moderate, and low coverage areas) depending on dispersed urbanization, as the main challenge of the study area. The data were obtained mainly from the most recent population census in 2011 and categorized in sub-groups by triggering CLC 2012. Analyzing the statistics using principal component analysis (PCA), we identify significant relationships between human smart city characteristics, demographic dynamics and built infrastructure attributes which can be used in local policy decision making. Spatial variations based on the dispersed urbanization are also observed regarding the above-mentioned relationships.


2021 ◽  
Vol 14 (1) ◽  
pp. 3
Author(s):  
David Mills ◽  
Steven Pudney ◽  
Primož Pevcin ◽  
Jaroslav Dvorak

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.


2016 ◽  
Vol 49 (01) ◽  
pp. 21-26 ◽  
Author(s):  
Susan G. Mason

ABSTRACTScience is believed to be an important part of public policy decision making because of its inherent characteristics of measurability, rigor, objectivity, replication, and peer review. The purpose of this research was to explore the linkage of science to public policy decision making. The research explores what state and local public officials know about science and how much they actually use science in their decision making. Interview results with public officials in the State of Idaho demonstrate that policy makers ultimately see science as only one element in the mix. Findings suggest that equal attention and debate should be given to how science interacts with all of the other factors that affect the public policy making process.


Big Data ◽  
2016 ◽  
pp. 1957-1969
Author(s):  
Michael Batty

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.


Author(s):  
Michael Batty

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.


2021 ◽  
pp. 016327872110182
Author(s):  
Paul Cristian Gugiu

Kaplan and Baron-Epel advanced the notion that findings from public surveys should inform health policy decision making with respect to funding allocation. This approach to governing can draw large support from the populace, legislators, and the academic community alike. Yet, it has the potential to undermine evidence-based health policy decision making. In this paper, I delineate six drawbacks and several related corollaries drawn from historical events that have occurred during the recent coronavirus pandemic. These examples illustrate the dire downstream consequences (e.g., disregard for the needs of minority groups; diminution of critical services not broadly supported by the public; promotion of fringe group or foreign actor agendas; advancement of poorly informed opinions; shift from a forward-thinking, proactive perspective to a retroactive one; and reliance on potentially biased estimates) that may follow if public surveys become embedded in healthcare policy decision making. Without solutions to the drawbacks delineated in this paper, health policy driven by public opinion is likely to cause more harm than good.


2009 ◽  
Vol 17 ◽  
pp. 13
Author(s):  
Jaime Moreles Vázquez

This paper presents an approach about research utilization in the decision making and the policy process, as well as in other social practices. The main findings show that social research has influence beyond the academic context and observes diverse modalities: inclusion of ideas in the public debate; decision making; policy evaluation; change and improvement of some practices. In addition, the exercise represents a contribution for the corresponding research agenda.


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