Global sustainable development: Smart cities and global implications of IT data risk governance, storage and control

2020 ◽  
Vol 1 (2) ◽  
pp. 33-43
Author(s):  
Beniamino Milioto
Keyword(s):  
Sustainable Development ◽  
Data Storage ◽  
Smart City ◽  
Social Evolution ◽  
Business Models ◽  
Smart Cities ◽  
Social Model ◽  
Green Economy ◽  
Risk Governance ◽  
Global Agenda

The present research paper focuses on the major economic and social evolution regarding the concept of “sustainable development and co-related smart green economy initiatives” in the current 3rd millennium global agenda. The main purpose of the article is to integrate the successful business and economic smart city business and social model with highly sensitive risk governance relating to data collection, data monitoring, data storage, data control, and data governance currently considered as an economic modern drive of development for future global societies and IT corporate businesses and, primarily, as a pivotal government’s asset for strategic political and economic global governance. The analysis will cover the 11 goals of the UN 2030 Global Agenda regarding the creation of “smart cities” as the economic/social concept for inclusive human and urban agglomeration. The paper methodology, supported with the current literature review, reports which technologies, applications, and parameters will define a smart city and how new innovative business models might influence the new economic global order in full respect of the environment and human life.

scholarly journals Smart City a Vision of India to Provide People with Better Lifestyle and Move towards a Sustainable Development

2021 ◽  
Vol 9 (11) ◽  
pp. 1050-1054
Author(s):  
Dr. Sumanta Bhattacharya
Keyword(s):  
Sustainable Development ◽  
Smart City ◽  
Central Government ◽  
Smart Cities ◽  
Minimum Cost ◽  
Green Energy ◽  
Urban Transformation ◽  
Green Economy ◽  
Maximum Benefit ◽  
Smart Agriculture

Abstract: Urban transformation is very important with rapid migration taking place from rural to urban sector. Smart city mission which was launched in 2015 , is a revolutionary approach to reform and rebuild old cities and develop 100 satellites based cities which will provide maximum benefit to people at a minimum cost with better infrastructure and services , smart agriculture and smart health care system , the smart cities are environmentally friendly and runs on technology , provide housing for all , it will also help to end poverty and alleviate the issue of urban slums . Smart cities is an area based approach for which India also needs to upgrade its cyber infrastructure and provide digital education to its citizens , a collaborative approach by the state and central government will make India’s smart city success . Decent cities which have no space left for accommodation is also rebuilding itself to make the standard of living better for people with sustainable development , promoting green economy , green energy and green funds . Keywords: Urban transformation, Smart cities, green economy, technology, rebuild, revolutionary approach

scholarly journals A Digital Circular Economy for Smart Cities

2021 ◽  
Vol 58 (1) ◽  
pp. 1432-1439
Author(s):  
Kannikar Khaw-ngern Et al.
Keyword(s):  
Data Analysis ◽  
Data Storage ◽  
Circular Economy ◽  
Digital Technology ◽  
Smart City ◽  
Data Exchange ◽  
Business Models ◽  
Smart Cities ◽  
Analysis Data ◽  
Raw Material

Due to the growing global population, the middle class is estimated to reach 5 billion by 2030, and all countries aim to increase their prosperity. This has caused enormous stress on our environment and our resources, which are reducing and becoming more difficult to extract. What worsens the situation is that manufacturers and consumers have tried to produce and consume as cheaply as possible. That has created a linear economy where objects are briefly used and then discarded as waste. The purpose of this article is to review the concept of smart city and how it can be implemented to promote circular economy, to study the difference between of digital city, intelligent city, smart city, and eco-city, to examine the role of digital technology in solving complexity in circular economy and how its functionalities in circular business models. Three case studies: Alpha, Philips CityTouch, and ZenRobotics have been reviewed. The result showed that digital technology can be mainly used for data collection, data exchange, data storage, and data analysis. Data analysis functionalities can be identified as monitoring and reporting product location, product condition and product availability; notifying predictive and preventive maintenance; identifying remanufacturing opportunities; optimizing product's energy consumption; enabling recycling, remanufacturing, product design and pricing; creating the intelligent product and virtual communication. Digital technologies are effective enablers for moving towards a circular economy which can deliver benefits for economy and environment such as increasing efficiency of raw material, reducing resource extraction, stimulating innovative designs, promoting production and remanufacturing, ensuring better distribution, consumption, reuse, and repair, as well as reducing waste.

scholarly journals Sustainable Smart City—Opening a Black Box

2021 ◽  
Vol 13 (2) ◽  
pp. 769
Author(s):  
Mona Treude
Keyword(s):  
Sustainable Development ◽  
Citizen Participation ◽  
Smart City ◽  
Evolutionary Economics ◽  
Smart Cities ◽  
Innovation Process ◽  
Sustainable City ◽  
Smart Services ◽  
Underlying Processes

Cities are becoming digital and are aiming to be sustainable. How they are combining the two is not always apparent from the outside. What we need is a look from inside. In recent years, cities have increasingly called themselves Smart City. This can mean different things, but generally includes a look towards new digital technologies and claim that a Smart City has various advantages for its citizens, roughly in line with the demands of sustainable development. A city can be seen as smart in a narrow sense, technology wise, sustainable or smart and sustainable. Current city rankings, which often evaluate and classify cities in terms of the target dimensions “smart” and “sustainable”, certify that some cities are both. In its most established academic definitions, the Smart City also serves both to improve the quality of life of its citizens and to promote sustainable development. Some cities have obviously managed to combine the two. The question that arises is as follows: What are the underlying processes towards a sustainable Smart City and are cities really using smart tools to make themselves sustainable in the sense of the 2015 United Nations Sustainability Goal 11? This question is to be answered by a method that has not yet been applied in research on cities and smart cities: the innovation biography. Based on evolutionary economics, the innovation biography approaches the process towards a Smart City as an innovation process. It will highlight which actors are involved, how knowledge is shared among them, what form citizen participation processes take and whether the use of digital and smart services within a Smart City leads to a more sustainable city. Such a process-oriented method should show, among other things, to what extent and when sustainability-relevant motives play a role and which actors and citizens are involved in the process at all.

Using a distributed deep learning algorithm for analyzing big data in smart cities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Anouar Naoui ◽  
Brahim Lejdel ◽  
Mouloud Ayad ◽  
Abdelfattah Amamra ◽  
Okba kazar
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Data Analysis ◽  
Data Storage ◽  
Smart City ◽  
Smart Cities ◽  
Smart Environment ◽  
Data Systems ◽  
Content Type ◽  
Big Data Systems

PurposeThe purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.Design/methodology/approachWe have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.FindingsWe apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.Research limitations/implicationsThis research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.Practical implicationsFindings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.Originality/valueThe findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.

scholarly journals Smart Cities for Sustainable Development in India: Opportunities and Challenges

2019 ◽  
Vol 8 (3) ◽  
pp. 133 ◽  
Author(s):  
Vaidehi Daptardar ◽  
Manasi Gore
Keyword(s):  
Sustainable Development ◽  
Smart City ◽  
Smart Cities ◽  
Policy Implications ◽  
Inclusive Development ◽  
Sustainable Environment ◽  
Rural And Urban ◽  
Efficient Resource ◽  
Development Goals

The concept of Sustainable development underlines the long lasting development of an economy by an efficient resource use fulfilling the economic, social and environmental aspects together. The SDGs by the UNDP focus  on 17 goals for all countries to end poverty, protect the planet and ensure that all people enjoy peace and prosperity.The mission of Smart Cities in India is to promote cities that provide core infrastructure and give a decent quality of life to its citizens, a clean and sustainable environment and application of ‘Smart’ Solutions. The focus is on sustainable and inclusive development of the Mega cities, an indispensable outcome of the development process and urbanization implied in it. During the course of economic development over last 70 years in India, many cities have emerged as unsustainable and highly vulnerable to manmade calamities.This paper would elaborate on the details of Smart city project in India in the light of Sustainable development. The Smart cities mission though aims at sustainable development, this path is full of challenges along with some opportunities in disguise. The paper would suggest some policy implications such as developing smart villages along with these smart cities to bridge the gap between the rural and urban India.   Keywords: Smart city mission, Sustainable development, Smart villages, Sustainable Development Goals (SDGs)

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.

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 Smart City as a Model for Sustainable Development of Territories

2021 ◽  
Vol 110 ◽  
pp. 05003
Author(s):  
Konstantin Semyachkov
Keyword(s):  
Sustainable Development ◽  
Urban Environment ◽  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Digital Technologies ◽  
Economic Systems ◽  
The Sustainable Development ◽  
City Model ◽  
The Impact

The article examines the impact of digital technologies on the sustainable development of ecological and economic systems. The main aspects that make the development of digital technologies especially relevant for environmental modernization and sustainable development are analyzed. It is shown that the large-scale use of digital technologies contributes to the development of new tools, models and methods of urban management. One of the promising areas for the development of the urban environment in these conditions is the concept of a smart city. Based on the analysis of research on the topic of smart cities, the effects of the use of the smart city model for the formation of the foundations of sustainable development of territories are noted.

scholarly journals Innovative Business Models for Smart Cities – A Systematic Research

2019 ◽  
Vol 8 (12S) ◽  
pp. 339-343
Keyword(s):  
Business Model ◽  
Smart City ◽  
Best Practice ◽  
Business Models ◽  
Smart Cities ◽  
Systematic Research ◽  
City Development ◽  
Model Cities ◽  
Smart Technologies

Cities are the engines of growth for a nation. Smart technologies can help address the urban challenges and improve quality of life, economic opportunity, and liveability for citizens. Cities benefit from a transparent overview of best practice solutions to become smarter and from identifying best-suited solution providers. Companies that make cities smarter benefit from becoming more visible to cities around the globe with their newly developed or proven solutions. Innovative business models help accelerate the adoption of smart technologies. Various funding mechanisms have been used by cities to develop smart city projects. However, it has been revealed that the literature does not provide enough thoughts on these concepts. This paper provides an insight to the concept of innovative business models and the adoption of these in smart cities. Further the paper advances the understanding on the evolving business models and city procurement policies that could be used to accelerate smart city development. The paper seeks to address the question: What are the challenges faced by organisations and smart cities to develop a successful innovative business model? Cities have designed well defined strategies and are in the process of developing strategies for smart city. The paper address the challenges and functions of an innovative business model for development of smart cities.

scholarly journals Resource Scheduling and Strategic Management of Smart Cities under the Background of Digital Economy

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Qing Yin ◽  
Gang Liu
Keyword(s):  
Strategic Management ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Business Models ◽  
Smart Cities ◽  
Resource Scheduling ◽  
Communication Technologies ◽  
Digital Economy ◽  
Current Status ◽  
Information And Communication

Smart city is a brand-new city form, in which information and communication technologies are utilized to sense, analyze, and integrate the key information of city operation core system, so that intelligent responses can be immediately and effectively taken to various demands including people’s livelihood, environmental protection, public safety, city services, and industrial and commercial activities. Digital economy is a mixed economy with the coexistence of multiple business models and diversified value creation models based on the information and communication technologies and in the digital economy, many things are undergoing huge changes, and their corresponding economic rules also need to be adjusted. On the basis of analyzing previous research works, this paper expounded the research status and significance of smart city’s resource scheduling and strategic management, elaborated the development background, current status, and future challenges of digital economy, introduced the methods and principles of city-level spatiotemporal data model and spatial full factor coding, formulated resource scheduling strategies for smart city based on digital economy, explored the dynamic fusion, storage, and update of smart city’s multisource heterogeneous data, conducted the information display and analysis of multilevel smart city, proposed strategic management approaches for smart city based on digital economy, analyzed the integrated implementation model of shared resource scheduling and people-oriented social management, and discussed the economic growth factors and standardization mechanism of smart city under the background of digital economy. The results of this study provide a reference for further research studies on the resource scheduling and strategic management of smart city under the background of digital economy.

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