scholarly journals Smart Governance of City’s Culture: Theoretical and Empirical Aspects

2020 ◽  
Vol 43 (1) ◽  
pp. 5-19
Author(s):  
Rytis Milkintas
Keyword(s):  
Content Analysis ◽  
Theoretical Model ◽  
Smart City ◽  
Smart Cities ◽  
Qualitative Content Analysis ◽  
General Level ◽  
City Management ◽  
Cultural Management ◽  
Cultural Field ◽  
City Culture

The goal of the research is to prepare a theoretical model of smart cultural governance and to evaluate the smart cultural management of Šiauliai city according to it. The background of creating a smart culture governance model is to define the theoretical constructs of smart city and smart culture management by looking for correlations between these concepts in order to closely link cultural management with the implementation of cultural policy in city management processes and to highlight the specifics of smart cultural management. A systematic model of a smart city is formed and presented, of which cultural management is an integral part. The model highlights the links between cultural management and other dimensions of the smart city. The theoretical model of smart culture management, which was adapted to investigate the expression of smart culture management in Šiauliai city, is presented. This kind of research has not been done so far in analyzing smart culture management in Šiauliai city. The need for the research was inspired by culture specialists of Šiauliai City Municipality Administration and heads of cultural institutions. The qualitative content analysis of theoretical sources of foreign countries and Lithuania was conducted as well as in-depth interviews to collect information that was processed through qualitative content analysis and systematized using matrices. The assessment of model expression based on the informants’ attitudes enabled the researcher to draw substantive conclusions.The research is relevant to Šiauliai city culture field institutions (private, subordinate municipality, subordinate to the Ministry of Culture of the Republic of Lithuania), Šiauliai city culture field policymakers. In a broader sense, the improvement in the quality of the intelligent social system highlighted in the study will significantly contribute to the general level of culture in Šiauliai. These positive changes will be experienced by the recipients of cultural services.Further research in the field of smart city cultural management is planned to analyze not only the situation of Šiauliai city but also the cultural field of Lithuania as a whole, in connection with the practices of the international cultural field. It is planned to study the smoothness of the transformation of cultural field institutions, adaptation to smart cultural management, and the emerging challenges. Further research is planned to analyze the scientific studies prepared by smart cities, to look for specific actions highlighted in them, challenges for the cultural sector in adapting to the gradual transformation of cities into smart cities.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

City Competitiveness and Infrastructure

2013 ◽  
pp. 1-20
Author(s):  
Ahmet Bulut
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Policy Decision ◽  
City Management ◽  
Controlled Experiments ◽  
Rigorous Analysis ◽  
Decision Level ◽  
Specific Policy ◽  
Analysis And Synthesis ◽  
New Framework

This chapter introduces a new framework called “I3: Instrument, interconnect, and cultivate intelligence framework.” This framework can be used to drive the transformation of today’s not so smart cities into the smart cities of tomorrow. In i3, instrumentation is used to collect data, which is important, because data provides measurability, and measurement can lead to improvement. Interconnection in i3 is used to discover associations and relationships between seemingly independent subsystems in a city. In i3, controlled experiments are easily setup and run to test each individual policy. The intelligence bit in i3 comes from being able to test specific policy hypotheses and conduct rigorous analysis and synthesis of the integrated data. The i3 framework helps city officials and researchers discover valuable knowledge, make informed decisions based on the results of various policies that are put in place, and facilitates the culture of experimentation at every policy decision level. The overarching goal in i3 is to discover routine and well-structured patterns in city management operations, turn them into best practices, and finally automate the execution of such practices so that the framework itself can take a major responsibility over city management. In this chapter, a roadmap is provided as a guideline for policymakers to successfully deploy i3 in their jurisdiction. By using i3 continually, a regular city can be transformed into a smart city faster.

scholarly journals An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7209
Author(s):  
Janetta Culita ◽  
Simona Iuliana Caramihai ◽  
Ioan Dumitrache ◽  
Mihnea Alexandru Moisescu ◽  
Ioan Stefan Sacala
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Smart City ◽  
Smart Cities ◽  
Hybrid Approach ◽  
Well Being ◽  
Problem Definition ◽  
Urban Traffic ◽  
Integrative Approach ◽  
City Management

Smart cities are complex, socio-technological systems built as a strongly connected System of Systems, whose functioning is driven by human–machine interactions and whose ultimate goals are the well-being of their inhabitants. Consequently, controlling a smart city is an objective that may be achieved by using a specific framework that integrates algorithmic control, intelligent control, cognitive control and especially human reasoning and communication. Among the many functions of a smart city, intelligent transportation is one of the most important, with specific restrictions and a high level of dynamics. This paper focuses on the application of a neuro-inspired control framework for urban traffic as a component of a complex system. It is a proof of concept for a systemic integrative approach to the global problem of smart city management and integrates a previously designed urban traffic control architecture (for the city of Bucharest) with the actual purpose of ensuring its proactivity by means of traffic flow prediction. Analyses of requirements and methods for prediction are performed in order to determine the best way for fulfilling the perception function of the architecture with respect to the traffic control problem definition. A parametric method and an AI-based method are discussed in order to predict the traffic flow, both in the short and long term, based on real data. A brief comparative analysis of the prediction performances is also presented.

scholarly journals Artificial Intelligence Applications to Smart City and Smart Enterprise

2020 ◽  
Vol 10 (8) ◽  
pp. 2944 ◽  
Author(s):  
Donato Impedovo ◽  
Giuseppe Pirlo
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Wide Spectrum ◽  
Life Quality ◽  
City Management ◽  
Efficient Management ◽  
Social Big Data ◽  
Areas Of Interest

Smart cities work under a more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which have led to the creation of smart enterprises and organizations that depend on advanced technologies. In this Special Issue, 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Published works refer to the following areas of interest: vehicular traffic prediction; social big data analysis; smart city management; driving and routing; localization; and safety, health, and life quality.

scholarly journals The «smart city» concept: fixing key concepts in the context of providing the development of a big municipality

2018 ◽  
Vol 6 (8) ◽  
pp. 24-34
Author(s):  
A. O. Andriіenko
Keyword(s):  
Smart City ◽  
Social Economic ◽  
Smart Cities ◽  
City Management ◽  
City Formation ◽  
Strategic Direction ◽  
Use Of Resources ◽  
Smart Community ◽  
The One ◽  
And Control

The article reveals the content and explores the conceptual-categorical apparatus of the problem of the «smart city» formation on the territory of a large municipal entity. The classification of big municipalities, aimed at their services (communal, educational, medical, public) ‘smartization’, by type, is given. It is determined that smart cities are considered by the world scientific community from two positions: on the one hand, as objects of the spontaneous socio-economic movement, which cannot always be directed in a given strategic direction; on the other hand, as a managerial category – cities that effectively use all available information for better understanding and control of their functions and optimal use of resources available, including the potential of residents. A system of factors, the development of which is aimed at forming the foundations of a smart city, is given. The basis for developing such a system is the concept of sustainable development. Accordingly, the complex of the following factors influencing the ‘smartization’ of urban development is presented: technological (determines the level of development and public availability of digital technologies in urban services); human (creates a space for creativity, learning, obtaining and generating knowledge); economic (outlines the limits of economic capacity of the city, the coordination of economic tasks with social priorities and environmental needs); institutional (forms the basis for proper management of the city’s integrated development, promotes the development of the smart community and the attraction of intellectual capital). The criteria for meeting the goals of smart city management that outline the content and determine the directions of smart administration on the basis of sustainability are given; the factors of the formation of such a city (institutional, social, economic, technological) are presented and structured; accordingly, the concept of «smart city» is defined through the prism of institutional, social, economic, technological and integrated managerial approaches.

scholarly journals AN INITIATIVES-BASED FRAMEWORK FOR ASSESSING SMART CITY

2016 ◽  
Author(s):  
Yasmin Mohd Adnan ◽  
Hasniyati Hamzah ◽  
Melasutra Md. Dali ◽  
Md Nasir Daud ◽  
Anuar Alias
Keyword(s):  
Smart City ◽  
Quantitative Assessment ◽  
Smart Cities ◽  
City Management ◽  
Assessment Framework ◽  
New Paradigm ◽  
Sustainable City ◽  
Management And Development ◽  
The City ◽  
Better Than

Smart Cities have grown in prominence due to advancement in ICT and the new paradigm of sustainable city management and development. Whilst many authors have proposed guidelines and framework for Smart City implementation, less attention has been given to the assessment of Smart City performance. The mainstream Smart City assessment framework generally entails the quantitative assessment of factors, elements and initiatives categorised under the Smart City dimensions. However, this approach is problematic and impractical because it requires a large amount of different baseline data that is often at times unavailable due to various reasons. This paper describes an alternative framework for smart city assessment, one that is based on the modification of Giffmger’s to make it amenable to leaner data. The proposed assessment framework was adopted to assess the smart city performances of Seoul, Singapore, and Iskandar Malaysia which were then compared. With the use of the framework for the performance assessment, the city that has performed better than the others is able to be identified.

scholarly journals Smart City EU - Lighthouse Projects – Investigation of Economic Benefits

2021 ◽  
Vol 4 (2) ◽  
pp. 37
Author(s):  
Aik Wirsbinna
Keyword(s):  
Content Analysis ◽  
Cost Saving ◽  
Smart City ◽  
Economic Benefit ◽  
Qualitative Content Analysis ◽  
Economic Benefits ◽  
Or Efficiency ◽  
Horizon 2020 ◽  
The Eu

The major European Smart City Lighthouse Projects have gained a lot of attention and importance from the designers of Smart City Initiatives (SCI) since 2014. The EU Commission's funding under the Horizon 2020 program is significant. The supported cities include the European metropolises but also several smaller cities. All these cities are repeatedly named Smart City pioneers. However, the research still has a gap when it comes to value generation. This article deals with the economic benefits of these Lighthouse projects. The own developed categories are applied and proved with Lighthouse projects. The range of economic benefits is shown and evaluated using the qualitative content analysis of the data from the EU - CORDIS database. The sustainability in the Smart City Initiatives is showcased as economic benefit is prioritized higher than cost saving or efficiency.

scholarly journals User Perception of a Smartphone App to Promote Physical Activity Through Active Transportation: Inductive Qualitative Content Analysis Within the Smart City Active Mobile Phone Intervention (SCAMPI) Study (Preprint)

2020 ◽  
Author(s):  
Anna-Karin Lindqvist ◽  
Stina Rutberg ◽  
Emmie Söderström ◽  
Anna Ek ◽  
Christina Alexandrou ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Content Analysis ◽  
Mobile Phone ◽  
Smart City ◽  
Qualitative Content Analysis ◽  
Controlled Trial ◽  
Active Transportation ◽  
Smartphone App ◽  
Randomized Controlled

BACKGROUND Physical inactivity is globally recognized as a major risk factor for morbidity, particularly the incidence of noncommunicable diseases. Increasing physical activity (PA) is therefore a public health priority. Engaging in active transportation (AT) is a viable approach for promoting daily PA levels. Mobile health interventions enable the promotion of AT to a larger population. The Smart City Active Mobile Phone Intervention (SCAMPI) study was a randomized controlled trial designed to evaluate the ability of a behavior change program delivered via a smartphone app to motivate participants to increase their PA by engaging in AT. OBJECTIVE This qualitative study aims to examine the acceptance and user experience of the app promoting AT that was used in the SCAMPI trial (the TRavelVU Plus app). METHODS A total of 17 residents of Stockholm County (13 women; age range 25-61 years) who completed the 3-month app-based behavioral change program (delivered through the TRavelVU Plus app) in the SCAMPI randomized controlled trial during 2018 agreed to participate in a semistructured telephone-based interview. These participants were well representative of the whole intervention group (n=127) in terms of baseline characteristics such as age, sex, and area of residence. The interviews were audiorecorded, transcribed verbatim, and analyzed using an inductive qualitative content analysis. RESULTS The content analysis revealed 2 themes and 4 subcategories. The first theme, “main motivators: monitoring and messages,” highlighted that monitoring AT and being able to set weekly goals using the app were the primary motivators reported by study participants. The second theme, “acceptable but modifiable,” reflects that the app was well accepted and effectively encouraged many participants to use more AT. Nevertheless, there were functions in the app that require modification. For example, while the semiautomated travel tracking feature was appreciated, participants found it time-consuming and unreliable at times. CONCLUSIONS This study contributes novel insight into adults’ experiences of using a mobile app to promote the use of AT. The results showed that the app was well accepted and that self-monitoring and goal setting were the main motivators to engage in more AT. The semiautomated tracking of AT was appreciated; however, it was also reported to be energy- and time-consuming when it failed to work. Thus, this feature should be improved going forward. CLINICALTRIAL ClinicalTrials.gov NCT03086837; https://clinicaltrials.gov/ct2/show/NCT03086837 INTERNATIONAL REGISTERED REPORT RR2-10.1186/s12889-018-5658-4

Applications of Artificial Intelligence for Smart Agriculture

2021 ◽  
pp. 277-288
Author(s):  
Suresh Sankaranarayanan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Smart City ◽  
Autonomous Robots ◽  
Smart Cities ◽  
Building Blocks ◽  
City Management ◽  
Latency Reduction ◽  
Smart Agriculture ◽  
Growing Population

Smart cities is the latest buzzword towards bringing innovation, technology, and intelligence for meeting the demand of ever-growing population. Technologies like internet of things (IoT), artificial intelligence (AI), edge computing, big data, wireless communication are the main building blocks for smart city project initiatives. Now with the upcoming of latest technologies like IoT-enabled sensors, drones, and autonomous robots, they have their application in agriculture along with AI towards smart agriculture. In addition to traditional farming called outdoor farming, a lot of insights have gone with the advent of IoT technologies and artificial intelligence in indoor farming like hydroponics, aeroponics. Now along with IoT, artificial intelligence, big data, and analytics for smart city management towards smart agriculture, there is big trend towards fog/edge, which extends the cloud computing towards bandwidth, latency reduction. This chapter focuses on artificial intelligence in IoT-edge for smart agriculture.

scholarly journals Smart City: The main assist factor for smart cities

2021 ◽  
Vol 5 (01) ◽  
pp. 46-54
Author(s):  
Triana Puspita Ningrum
Keyword(s):  
Content Analysis ◽  
20Th Century ◽  
Smart City ◽  
Smart Cities ◽  
Environmental Crisis ◽  
Use Of Technology ◽  
Literature Reviews

Initially, A smart city was originally a solution used to deal with the environmental crisis that took place in the 20th century. Smart city concepts derive from the use of technology and knowledge to enhance society's efficiency and competitiveness. The indicators are needed that support the achievement of a smart city. We will analyze the indicators that can impact the smart city achievement in this article. The aim of this study is to identify the indicators that influence the process of developing a smart city in order to be able to help other cities to establish sustainable policies and work plans so that they can prepare themselves for a smart city consistently. From the results of content analysis and descriptions of literature reviews, it is concluded that the indicators most used in the assessment of smart cities are divided into eight groups of indicators, including governance, economy, living, mobility, environment, people, branding, and demography.

Sign in / Sign up

Export Citation Format

Share Document