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.

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.

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.

REGULATION IN MANAGEMENT OF HIGH-TECH INDUSTRIES

2021 ◽  
Vol 2 (65) ◽  
pp. 51-57
Author(s):  
Natalya L. Gagulina ◽  
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Smart Cities ◽  
Integrated Approach ◽  
High Tech ◽  
Economic Relations ◽  
Regulatory Barriers ◽  
Regulatory Functions ◽  
And Robotics ◽  
Market Disequilibrium

The article analyzes the institutional provision of the regulatory functions of the state in such areas as artificial intelligence and robotics. The analysis is based on the Concept of the development of regulation of relations in the field of artificial intelligence and robotics technologies until 2024. Among the problematic areas of regulation are the restriction of competition, the loss of flexibility in economic relations and the market disequilibrium. It is shown that the solution of these problems requires an integrated approach. So, to implement the concept of “smart city”, it is necessary not only to weaken or remove regulatory barriers, but also to use additional tools that have already applied in the world practice. An opportunity of applying of theoretical and methodological base of quality economics is considered. The solution to a significant part of the problems of digitalization of the region’s economy is the use in the management of the development of the “smart city” the international standard “Sustainable cities and Communities – Indicators for smart cities”.

scholarly journals Sustainable business model for local council’s smart city initiatives: a systematic literature review

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1066
Author(s):  
Ezatul Faizura Mustaffa Kamal Effendee ◽  
Magiswary Dorasamy ◽  
Abdul Aziz Bin Ahmad ◽  
Azrin Aris ◽  
Saida Hargeum ◽  
...  
Keyword(s):  
Systematic Review ◽  
Business Model ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Success Factor ◽  
Sustainable Business ◽  
Local Authorities ◽  
Frugal Innovation ◽  
Online Databases

Background: Malaysia is embarking on sustainable, resilient, and prosperous living conditions initiatives. Malaysian cities are embracing the smart city aspiration through their respective local authorities. However, they face challenges regarding  funding allocation for smart city implementation. Local authorities primarily operate on a conventional business model. Based on their current business model, they are unlikely to sustain their smart city initiatives. A more financially sustainable business model is required by these local authorities to embark on smart city initiatives. This study presents a systematic review concerning the business models adopted by local authorities to implement smart cities. This paper also explores the applicability of frugal innovation towards developing a smart city business model. Methods: This article undertakes a systematic review based on combination sets of eight main keywords: smart city, business model, frugal innovation, local authorities, performance, inclusivity, technology and success factor. The search strategy includes journal articles and conference proceedings from five major online databases: Emerald, ProQuest, Scopus, IEEE Xplore, ScienceDirect, and Springer Link between 2001-2021. The data is tabulated for clear expression of knowledge gaps. Results: A total of 17 articles from 300 articles on smart city business models matched the search on smart city business models for local authorities . The study revealed that hardly any in-depth research providing the crucial elements for a successful smart city business model for local authorities has been conducted. No research has linked frugal innovation to smart city business models. Conclusions: The study calls upon the research community to explore further, the possible linkage between frugal innovation and smart cities for local authorities.

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.

Active Governance and Smart Citizenship

2022 ◽  
pp. 290-296
Author(s):  
Panagiota Konstantinou ◽  
Georgios Stathakis ◽  
Maria Georgia Nomikou ◽  
Athina Mountzouri ◽  
Maria Stamataki
Keyword(s):  
Artificial Intelligence ◽  
Human Behavior ◽  
Citizen Participation ◽  
Smart City ◽  
Personal Autonomy ◽  
Smart Cities ◽  
Active Part ◽  
Urban Living ◽  
Liberal Citizenship

Cities are increasingly dependent on networks, sensors, and microcontrollers. Artificial intelligence has managed to mimic human behavior, and in a few years, many jobs may be replaced by computers or machines. Today, smart cities are evolving in all countries from the poorest to the most economically viable, and there are many smart city applications that rely on observation and participation of the citizens. Active citizens are interested in the benefits of their city, and they are involved in improving and promoting urban living. All levels of smart citizen participation are associated with liberal citizenship and personal autonomy and the choice of individuals to perform specific roles and take responsibility for their actions. The states in turn provide liberal forms of government. Smart cities need “smart people” who can take an active part in both governance and city reform. This kind of citizen participation is more than just a ritual participation in government.

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 City Data Hub: Implementation of Standard-Based Smart City Data Platform for Interoperability

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 7000
Author(s):  
Seungmyeong Jeong ◽  
Seongyun Kim ◽  
Jaeho Kim
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Life Quality ◽  
Communication Technologies ◽  
Data Platform ◽  
Standard Application ◽  
Information And Communication ◽  
Application Programming ◽  
Programming Interfaces

Like what happened to the Internet of Things (IoT), smart cities have become abundant in our lives as well. One of the smart city definitions commonly used is that smart cities solve city problems to enhance citizens’ life quality and make cities sustainable. From the perspective of information and communication technologies (ICT), we think this can be done by collecting and analyzing data to generate insights. The City Data Hub, which is a standard-based city data platform that has been developed, and a couple of problem-solving examples have been demonstrated. The key elements for smart city platforms have been chosen and they have been included in the core architecture principles and implemented as a platform. It has been proven that standard application programming interfaces (APIs) and common data models with data marketplaces, which are the keys, increase interoperability and guarantee ecosystem extensibility.

scholarly journals The Campus as a Smart City: University of Málaga Environmental, Learning, and Research Approaches

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1349 ◽  
Author(s):  
Sergio Fortes ◽  
José Santoyo-Ramón ◽  
David Palacios ◽  
Eduardo Baena ◽  
Rocío Mora-García ◽  
...  
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Learning Activities ◽  
Environmental Learning ◽  
University Campuses ◽  
Efficient Management ◽  
Research Activities ◽  
Smart Campus ◽  
Environmental Goals ◽  
The University

For the past few years, the concept of the Internet of Things (IoT) has been a recurrent view of the technological environment where nearly every object is expected to be connected to the network. This infrastructure will progressively allow one to monitor and efficiently manage the environment. Until recent years, the IoT applications have been constrained by the limited computational capacity and especially by efficient communications, but the emergence of new communication technologies allows us to overcome most of these issues. This situation paves the way for the fulfillment of the Smart-City concept, where the cities become a fully efficient, monitored, and managed environment able to sustain the increasing needs of its citizens and achieve environmental goals and challenges. However, many Smart-City approaches still require testing and study for their full development and adoption. To facilitate this, the university of Málaga made the commitment to investigate and innovate the concept of Smart-Campus. The goal is to transform university campuses into “small” smart cities able to support efficient management of their area as well as innovative educational and research activities, which would be key factors to the proper development of the smart-cities of the future. This paper presents the University of Málaga long-term commitment to the development of its Smart-Campus in the fields of its infrastructure, management, research support, and learning activities. In this way, the adopted IoT and telecommunication architecture is presented, detailing the schemes and initiatives defined for its use in learning activities. This approach is then assessed, establishing the principles for its general application.

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.

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