scholarly journals Smart City Management in the Context of Electricity Consumption Savings

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6170
Author(s):  
Aleksandra Ptak
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Electricity Consumption ◽  
Well Being ◽  
City Management ◽  
Large Cities ◽  
Administrative Unit ◽  
Iot Devices ◽  
Electricity Saving ◽  
Smart Governance

According to one definition, Smart City is an administrative unit that uses data and digital technology to improve the decision-making processes and well-being of its inhabitants. Smart Cities use modern, intelligent technologies to forecast future changes, optimize city functions, gain a better understanding of current conditions, and deliver solutions. To make the city smart, multiple connected sensors, smartphones and other IoT devices are needed. As part of the research conducted at the Technical University in Vienna, six key dimensions (categories) of smart cities have been identified and characterized: Smart Economy, Smart Mobility, Smart Environment, Smart People, Smart Living, and Smart Governance. The aim of the paper is to present the concept of the smart cities, the implemented innovative solutions and the issue of electricity saving in Smart Cities. The theoretical considerations were expanded of the presentation of selected smart city projects in Polish cities. The considerations were also supplemented with the results of research conducted on a group of respondents living in large and very large cities in Poland in order to their awareness of the concept of smart cities, awareness on smart projects implemented in their cities of residence, and the possibility of using intelligent technologies to achieve savings in electricity consumption.

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 MAIN CRITERIA IN THE DEVELOPMENT OF SMART CITIES DETERMINED USING ANALYTICAL METHOD

2016 ◽  
Vol 14 ◽  
Author(s):  
Zurinah Tahir ◽  
Jalaluddin Abdul Malek
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Modern Technology ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
Technological Infrastructure ◽  
The Status ◽  
Smart Mobility ◽  
Smart Governance

A smart city is one that is highly developed, innovative, environment-friendly, and incorporates relevant aspects of the economy, technology, mobility, quality of life and other aspects that contribute to the well-being of its residents. To achieve the status of a smart city, several requirements, criteria or indicators need to be considered. Strategic decisions by planners of a smart city play an important role in determining how the city uses resources and opportunities through the harnessing of modern technology to build a framework of innovation that nurtures a healthy society in an economy that is dynamic and environment-conscious. Smart cities focus on various elements of humanity, learning, the environment, technological infrastructure, social development, and urban growth. The aim of this study is to examine these requisites of a smart city, and to use the Analytic Hierarchy Process (AHP) methodology in assigning weightage to each element that is considered essential to its development. Smart environment and smart mobility were found to be the top two important factors in the successful building of a smart city. The actual values that shape smart cities are based on a balance of factors such as smart environmental practices, smart governance, smart living, smart mobility, smart people, and smart economy. These principal key elements work together to exploit the technologies that help bring about the realization of a smart city.

scholarly journals Searching for Smart City definition: a comprehensive proposal

2013 ◽  
Vol 11 (5) ◽  
pp. 2544-2551 ◽  
Author(s):  
Renata Paola Dameri
Keyword(s):  
Environmental Sustainability ◽  
Smart City ◽  
Local Governments ◽  
Smart Cities ◽  
Geographical Area ◽  
Well Being ◽  
City Management ◽  
Current Topic ◽  
The World ◽  
Definition Of

During the latest years, smart city projects have been more and more popular and widespread all over the world. The continuous increasing of city’s population and the complexity of city management drive local governments towards the strong use of technologies to support a higher quality of urban spaces and a better offering of public services. The fascination of smart cities, able to link high technology, green environment and well-being for citizens, interests all the municipalities, independently on their dimensions, geographical area or culture. However, the concept of smart city is far from to be unambiguous. Several experiences all over the world show that cities define themselves as smart, but the meaning attributed to this word is different each time. Smart city concept has been growing from empirical experience, therefore a systemic theoretical study about this phenomenon still lacks. In this paper, the author aims to propose a comprehensive and verified definition of smart city, based on both a deep literature investigation about smart city studies and a large survey of smart city projects in the international panorama. The goal of this work is not only to provide a clear framework about this interesting and current topic, but also to support local governments and public administrations in effective smart city implementation, able to create public value and well being for citizens and environmental sustainability in the urban space. 

scholarly journals MAIN CRITERIA IN THE DEVELOPMENT OF SMART CITIES DETERMINED USING ANALYTICAL METHOD

2016 ◽  
Vol 14 (5) ◽  
Author(s):  
Zurinah Tahir ◽  
Jalaluddin Abdul Malek
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Modern Technology ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
Technological Infrastructure ◽  
The Status ◽  
Smart Mobility ◽  
Smart Governance

A smart city is one that is highly developed, innovative, environment-friendly, and incorporates relevant aspects of the economy, technology, mobility, quality of life and other aspects that contribute to the well-being of its residents. To achieve the status of a smart city, several requirements, criteria or indicators need to be considered. Strategic decisions by planners of a smart city play an important role in determining how the city uses resources and opportunities through the harnessing of modern technology to build a framework of innovation that nurtures a healthy society in an economy that is dynamic and environment-conscious. Smart cities focus on various elements of humanity, learning, the environment, technological infrastructure, social development, and urban growth. The aim of this study is to examine these requisites of a smart city, and to use the Analytic Hierarchy Process (AHP) methodology in assigning weightage to each element that is considered essential to its development. Smart environment and smart mobility were found to be the top two important factors in the successful building of a smart city. The actual values that shape smart cities are based on a balance of factors such as smart environmental practices, smart governance, smart living, smart mobility, smart people, and smart economy. These principal key elements work together to exploit the technologies that help bring about the realization of a smart city.

Entrepreneurial ecosystem and well-being in European smart cities: a comparative perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lara Penco ◽  
Enrico Ivaldi ◽  
Andrea Ciacci
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Information And Communications Technology ◽  
Subjective Well Being ◽  
Entrepreneurial Ecosystem ◽  
Content Type ◽  
Large Cities ◽  
Entrepreneurial Activities ◽  
The Relationship

PurposeThis study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.Design/methodology/approachThe authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.FindingsThe strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.Practical implicationsDespite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.Originality/valueThis study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

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.

scholarly journals Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

2020 ◽  
Vol 12 (14) ◽  
pp. 5595 ◽  
Author(s):  
Ana Lavalle ◽  
Miguel A. Teruel ◽  
Alejandro Maté ◽  
Juan Trujillo
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Fire Department ◽  
Heterogeneous Data ◽  
Fire Extinguishing ◽  
Heterogeneous Data Sources ◽  
Iot Devices ◽  
Visualization Techniques ◽  
The Impact

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.

scholarly journals Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

2021 ◽  
Vol 13 (9) ◽  
pp. 4716
Author(s):  
Moustafa M. Nasralla
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Virtual Reality ◽  
Time Series Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Rehabilitation Services ◽  
Simulation Scenario ◽  
Common Problems ◽  
Iot Devices

To develop sustainable rehabilitation systems, these should consider common problems on IoT devices such as low battery, connection issues and hardware damages. These should be able to rapidly detect any kind of problem incorporating the capacity of warning users about failures without interrupting rehabilitation services. A novel methodology is presented to guide the design and development of sustainable rehabilitation systems focusing on communication and networking among IoT devices in rehabilitation systems with virtual smart cities by using time series analysis for identifying malfunctioning IoT devices. This work is illustrated in a realistic rehabilitation simulation scenario in a virtual smart city using machine learning on time series for identifying and anticipating failures for supporting sustainability.

Renewable Green Energy Resources for Next-Generation Smart Cities using Big Data Analytics

2021 ◽  
pp. 2141004
Author(s):  
Lingling Zhu ◽  
Jie Fangi Shi ◽  
Yi Hai Shi ◽  
Hai Peng Xu ◽  
A. Shanthini ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart City ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Electricity Consumption ◽  
District Heating ◽  
Green Energy ◽  
Green Technology ◽  
Energy Resources ◽  
Short Supply

Energy is now seen as a significant resource that develops abundant on the world economy, with short supply and development. A study found that renewable energy systems are needed to prevent shortages. Hence, all the focus in this study to decrease electricity consumption and reduce the overall completion times for a regular console in green technology networks was an efficient and scalable production genomic solution. A Renewable green energy resources smart city (RGER-SC) framework is proposed that used a multi-target evolutionary algorithm was hybridized to be effective and calculated arithmetically in this study. This work deals with fostering renewable energy incorporation by adjusting federal charges to increase the energy accounting practitioners. Besides, this report analyses the timely generation of delay-tolerant demands and the maintenance of district heating at network infrastructure. In comparison, capacity differentials between consumers and information centres are considered and evaluated using the Renewable green energy resources smart city (RGER-SC) framework for energy conservation and controlled task management at an industrial level.

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