Towards economic and social "sensors": condition and model of governance and decision-making for an organological smart city

2015 ◽  
Author(s):  
J.-P. Foucault ◽  
Y. Moulier-Boutang
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Social Sensors

MONITORING THE ATTITUDE OF THE POPULATION TO PROBLEMS OF URBAN ENVIRONMENT FOR SITUATION-AL CENTERS OF A SMART CITY

2019 ◽  
pp. 51-54
Author(s):  
D. Verzilin ◽  
T. Maximova ◽  
I. Sokolova
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Smart City ◽  
Sources Of Information ◽  
Online Activity ◽  
Operational Decision Making ◽  
Alternative Sources ◽  
Intelligent Information ◽  
State Of The Environment ◽  
Active Citizen

Goal. The purpose of the study was to search for alternative sources of information on popu-lation’s preferences and response to problems and changes in the urban environment for use in the operational decision-making at situational centers. Materials and methods. The authors used data from search queries with keywords, data on communities in social networks, data from subject forums, and official statistics. Methods of statistical data analysis were applied. Results. The analysis of thematic online activity of the population was performed. The re-sults reflected the interest in the state of the environment, the possibility of distance learning and work, are presented. It was reasoned that measurements of population’s thematic online activity let identify needs and analyze the real-time response to changes in the urban envi-ronment. Such an approach to identifying the needs of the population can be used in addition to the platforms “Active Citizen” of the Smart City project. Conclusions. An analysis of data on online activity of the population for decision-making at situational centers is more operational, flexible and representative, as compared with the use of tools of those platforms. Such an analysis can be used as an alternative to sociological surveys, as it saves time and money. When making management decisions using intelligent information services, it is necessary to take into account the needs of the population, reflect-ed in its socio-economic activity in cyberspace.

Deep Learning-Based Decision-Making with WoT for Smart City Development

2020 ◽  
pp. 51-62
Author(s):  
S. Vimal ◽  
V. Jeyabalaraja ◽  
P. Subbulakshmi ◽  
A. Suresh ◽  
M. Kaliappan ◽  
...  
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Smart City ◽  
City Development

scholarly journals Upaya Peningkatan Daya Tarik Wisata di Kabupaten Sumenep melalui Smart City System

2019 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Nur Inna Alfiyah
Keyword(s):  
Decision Making ◽  
Local Government ◽  
Smart City ◽  
Research Use ◽  
Tourist Attraction ◽  
Use Of Technology ◽  
City System ◽  
Tourism Information ◽  
Tourist Information ◽  
Government Innovation

Abstract This research aims to explain the efforts by local government to increase tourist attraction in Sumenep Regency, through the realization of smart city as a government innovation in providing tourist information to public. This research use descriptive explanatory method by looking at the obstacles in tourism development in Sumenep, which were then followed by decision-making actions carried out by the local government, so the smart city masterplan was born as a government program. The masterplan program then gave birth to innovations in the use of technology to make it easier for tourists to find out tourism information in Sumenep Regency. Keyword : Tourism, Decision making, Smart city Abstrak Penelitian ini bertujuan untuk menjelaskan upaya peningkatan daya tarik wisata di Kabupaten Sumenep melalui realisasi smart city sebagai inovasi pemerintah dalam memberikan informasi wisata kepada masyarakat. Metode dalam penelitian ini menggunakan deskriptif eksplanatif dengan melihat terlebih dahulu kendala-kendala dalam pengembangan wisata di Sumenep yang kemudian disusul dengan tindakan pengambilan keputusan yang dilakukan oleh pemerintah daerah, sehingga kemudian lahirlah masterplan smart city sebagai program pemerintah. Program masterplan ini kemudian melahirkan inovasi-inovasi penggunaan teknologi guna memudahkan wisatawan untuk mengetahui informasi wisata yang ada di Kabupaten Sumenep. Kata Kunci: Pariwisata, Pengambilan keputusan, Smart city

scholarly journals A Study of the Interaction of Human Smart Characteristics with Demographic Dynamics and Built Environment: The Case of Limassol, Cyprus

Smart Cities ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 48-73
Author(s):  
Maroula N. Alverti ◽  
Kyriakos Themistocleous ◽  
Phaedon C. Kyriakidis ◽  
Diofantos G. Hadjimitsis
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Smart Cities ◽  
Policy Decision ◽  
Population Census ◽  
Data Set ◽  
Demographic Dynamics ◽  
Main Challenge ◽  
Policy Decision Making ◽  
City Policy

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.

scholarly journals Access to ICT in Poland and the Co-Creation of Urban Space in the Process of Modern Social Participation in a Smart City—A Case Study

2020 ◽  
Vol 12 (5) ◽  
pp. 2136 ◽  
Author(s):  
Patrycja Szarek-Iwaniuk ◽  
Adam Senetra
Keyword(s):  
Decision Making ◽  
Information And Communication Technologies ◽  
Urban Space ◽  
Social Participation ◽  
Smart City ◽  
Local Community ◽  
Smart Cities ◽  
Communication Technologies ◽  
Social Awareness ◽  
Information And Communication

A smart city is one of the latest concepts in the development of modern cities. It has evolved from the foregoing smart cities 1.0 and 2.0 to the smart city 3.0, where members of the local community play the main role as not only the recipients of the introduced changes and modern technology, but also as the creators of urban space. One of the goals of a smart city 3.0 is to promote sustainable urban development by improving the quality of life, enhancing social participation, and involving local community members in planning and decision-making processes. This study set out to determine the role and significance of e-participation methods in the smart city concept. The results of questionnaires exploring the importance of e-participation in urban development are presented. The paper also discusses changes in the availability of information and communication technologies (ICT) in Poland. The secondary goal was to present the geo-questionnaire and Public Participation GIS (PPGIS) as modern research tools. Internet tools based on geoinformation systems have considerable potential for mobilizing social participation in spatial planning (Public Participation GIS). The present study postulates the need for modern social participation methods in shaping urban space and promoting the sustainable development of cities. The study highlights the main challenges in the research process. The cooperation between the authorities and the citizens contributes to the development of a civil society, informed decision-making, social involvement in public life, and more effective governance at the local, regional, and national level. Measures that foster cooperation between the authorities and local communities, the use of information and communication technologies (ICT), and growing social awareness and social participation in managing development are the components of a modern smart city and the building blocks of an e-society. The study also revealed positive changes in access to ICT and their contribution to bridging the digital divide in Poland. Higher levels of social awareness regarding participation and e-participation promote the growth of smart cities.

scholarly journals The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making

2020 ◽  
Vol 12 (3) ◽  
pp. 793
Author(s):  
Mode Vasuaninchita ◽  
Varin Vongmanee ◽  
Wanchai Rattanawong
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Local Context ◽  
Fuzzy Evaluation ◽  
Analysis Technique ◽  
Planning Technique ◽  
Evaluation Decision

The Smart Cities (SCs) models currently widely employed are identical and inconsiderate of Economics Driven (ED), Local Context (LC), and Sustainability (St) factors. These are key factors to driving, constructing, and developing smart cities. This paper presents a process wherein “the Local Smart Sustain Cities Model (LSSCsM)” is combined and modeled with Exploratory Factor Analysis technique (EFA) to design a smart city that fits the local features of a given area. This particular process creates a Smart Cities Model (SCsM) that has unique sustainability and local context factors. This paper also presents the smart cities Priority Action Ranking (PAR) process using Fuzzy Logic Decision Making (FLDM) to evaluate the strengths and weaknesses of each smart city economics driver and characteristic and prioritize the direction planning of each factor and characteristic. The resulting smart cities model can then be used as the foundation of sustainable smart cities that avoid the pitfall of using incompatible smart cities models as the base and consequently failing, thus avoiding the extravagant costs associated with an unsuccessful project of such scale.

Smart Cities Governance

2016 ◽  
Vol 34 (6) ◽  
pp. 724-739 ◽  
Author(s):  
Walter Castelnovo ◽  
Gianluca Misuraca ◽  
Alberto Savoldelli
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Social Innovation ◽  
Smart Cities ◽  
Policy Decision ◽  
Holistic Approach ◽  
Public Value ◽  
The Public ◽  
Policy Decision Making ◽  
Evaluation Approaches

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.

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