scholarly journals Smart City as A Tools to Achieve Sustainability City

2019 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
Helen Dian Fridayani ◽  
Rifaid Rifaid
Keyword(s):  
Smart City ◽  
Open Space ◽  
Smart Cities ◽  
Smart Environment ◽  
Sustainable City ◽  
Co2 Gas ◽  
The Government ◽  
And Behavior ◽  
The Impact ◽  
Smart Government

Sustainable city is a city that designed by considering the impact on the environment, inhabited by population with a number and behavior that requires minimal support for energy, water and food from the outside, and produces less CO2, gas, air and water pollution. Moreover the national government envisions Indonesia2030which shallimplement the smart city towards sustainable development.Especially in Sleman Regency, the government is committed to make Sleman Regency as a Smart Regency in 2021. It could be shown in the vision of Sleman Regency which is The realization of a more prosperous Sleman community, Independent, Cultured and Integratede-governmentsystem to the Smart Regency in 2021”. This paper would like to analyze how the Sleman Regency implement the Smart city concept, and does the smart city concept can achive the sustainability city. The research uses the qualitative approach with in-deepth interview in examining the data, also the literature review. The result in this study reveals the following: firstly, from 2016-2019 Sleman regency has several applications to support the smart city implementation such as One Data of UMKM, Home Creative Sleman, Lapor Sleman app, Sleman Smart app, online tax app, e-patient, sleman emergency service, and Sleman smart room. Second, there are many elements in smart cities that are very important for smart government, smart life, smart economy, smart society, and smart environment. However, in supporting to support the realization of smart cities, not all aspects must be implemented properly to achieve a managed city, components related to smart environment cannot be implemented properly in Sleman Regency. There are still many problems regarding environmental problems such as the development of the construction of hotels and apartments that do not heed the environment, incrasing the populations, the limitations of green open space.

Quantitative analysis of the development of smart cities in India

2019 ◽  
Vol 9 (4) ◽  
pp. 711-726
Author(s):  
Tanu Aggarwal ◽  
Priya Solomon
Keyword(s):  
Smart City ◽  
Financial Institution ◽  
Smart Cities ◽  
Continuous Process ◽  
Private Investment ◽  
City Development ◽  
Test Of Independence ◽  
Content Type ◽  
The Government ◽  
The Impact

Purpose Smart cities are an attempt to recognize the pioneering projects designed to make the cities livable, sustainable, functional and viable. The purpose of this paper is to evaluate funding released by the government city wise and sources available for finance for the development of the smart cities. The impact of fund released by the government for the development of smart cities (Chandigarh, Karnal, Faridabad, Pune, Chennai, Ahmedabad, Kanpur, Delhi, Lucknow and Agra) in India has been studied in detail. Urbanization is a continuous process, which is taking place throughout the globe, especially in developing countries like India. Design/methodology/approach The research is descriptive in nature. The sources of funding for smart cities in India have been taken into consideration, and χ2 test of independence has been employed to study the impact of fund released by the government for smart city development in India by using IBM SPSS. Findings The total investment, area-based projects, pan-city initiatives and O&M costs for smart cities ranged between Rs 133,368 and Rs 203,979 lakh crores, Rs 105,621 and Rs 163,138 lakh crores, Rs 26,141 and Rs 38,840 lakh crores, and Rs 1,604 and Rs 1,999 lakh crores, respectively, in the year 2016 (for 60 smart cities) to 2017 (for 99 smart cities), which shows an increasing trend. The investment in retrofitting projects, redevelopment projects, greenfield projects and area-based projects ranged between Rs 94,419 and Rs 131,003 lakh crores, Rs 8,247 and Rs 23,119 lakh crores, Rs 2,955 and Rs 8,986 lakh crores, and Rs 105,621 and Rs 163,138 lakh crores, respectively, in the year 2016 (60 smart cities) to 2017 (99 smart cities), which shows the division of projects funding for smart city development in India. The funding released for smart city development such as other sources, loans from the financial institution, private investment, convergence, state government share funding and Central Government Funding ranged between Rs 14,828 and Rs 15,930 lakh crores, Rs 7,775 and Rs 9,795 lakh crores, Rs 30,858 and Rs 43,622 lakh crores, Rs 25,726 and Rs 43,088 lakh crores, Rs 27,260 and Rs 45,695 lakh crores, and Rs 29,207 and Rs 47,858 lakh crores, respectively, in the year 2016 (60 smart cities) to 2017 (99 smart cities), which reflects the different sources of funding for the development of smart cities in India. The χ2 test of independence has been applied, which shows that there is no impact of fund released by the government on cities for smart city development in India as the p-values of Chandigarh (0.213), Karnal (0.199), Faridabad (0.213), Pune (0.199), Chennai (0.213), Ahmadabad (0.199), Kanpur (0.199), Delhi (0.199), Kolkata, Lucknow (0.213) and Agra (0.199) are greater than 0.05. Research limitations/implications For the Smart Cities Mission to be financially sustainable, the right policy and institutional framework should be implemented for modernization and aggregation of government landholding. Consolidation of all the landholdings under the smart city project should be properly implemented, and the role of private sectors should be encouraged for public‒private partnership projects to make Smart City Mission more successful. Practical implications The benefits of smart cities development will help provide affordable, cleaner and greener housing infrastructure for all, especially the inclusive group of developers belonging to the lower middle-income strata of India, and the benefits will be replicated when adopted on a smaller scale in the rural part of the country. Originality/value The research paper is original and χ2 test has been used to study the impact of fund released by the government for smart city development in India.

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.

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.

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 IMPROVING THE ENERGY EFFICIENCY OF SMART CITIES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 229 (3) ◽  
pp. 354-364
Author(s):  
MAKSIM D. PUSHKAREV ◽  
◽  
DMITRY A. PROKOFIEV ◽  
Keyword(s):  
Energy Efficiency ◽  
Smart City ◽  
Smart Cities ◽  
Urban Infrastructure ◽  
High Tech ◽  
The World ◽  
The Impact

Smart city technologies make the functioning of urban infrastructure more efficient, and the lives of citizens more comfortable and safe. During the COVID-19 pandemic, they were very popular, and this could not but affect the energy efficiency of high-tech megacities around the world. This article examines the impact of the COVID-19 pandemic on smart cities, and also offers a solution to the problem of energy efficiency of smart cities.

scholarly journals Setting up the stage for smart sustainable city: international and ukrainian context. The role of smart solutions

2020 ◽  
pp. 13-24
Author(s):  
Anna Pozdniakova ◽  
Iryna Velska
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Knowledge Generation ◽  
Sustainable City ◽  
The World ◽  
Key Steps ◽  
Human Component

The paper analyzes the key steps taken by different cities worldwide and gathered into a clear step-by-step roadmap that can be useful for emerging smart cities. The Roadmap covers three main stages as we see them during the process of development: preparation, formation and spreading stages. We reveal how this is incorporated in the Ukrainian context. Our analysis of smart city solutions from all over the world (based on the BeeSmartCity database) showed that the tech component on its own is not enough to overcome urban challenges within different domains (environment, economy, government etc.), as we see each of the solutions has a human component involved in a form of knowledge generation and sharing, different forms of co-creation and partnership etc. Thus, ICTs are a required but not a sufficient element of building successful citizen-friendly and resilient cities.

Fostering Civic Engagement in Smart Cities

2022 ◽  
pp. 396-410
Author(s):  
Mariam Bhanu ◽  
V. K. Dhanyasree
Keyword(s):  
Civic Engagement ◽  
Smart City ◽  
Public Libraries ◽  
Smart Cities ◽  
Living Conditions ◽  
Sustainable Environment ◽  
The Government ◽  
Civic Duties

Smart cities are modern concepts that aim to provide better living conditions to their citizens by creating a sustainable environment. Citizens are the key partners behind the development of a smart city. They have to be aware about the civic duties and responsibilities towards the community. In this chapter, the authors analyze the concept of smart cities and what are the issues and challenges in India for developing a smart city. The authors also examine various civic engagement initiatives by the government of India. The objective of this chapter is to find the role played by public libraries in creating smarter communities and how they will help in promoting civic engagement activities.

Citizen Participation in Smart Sustainable Cities

2022 ◽  
pp. 967-987
Author(s):  
Ezgi Seçkiner Bingöl
Keyword(s):  
Gender Equality ◽  
Citizen Participation ◽  
Smart City ◽  
Good Governance ◽  
Smart Cities ◽  
Sustainable Cities ◽  
Sustainable City ◽  
Participation Mechanisms ◽  
The Relationship ◽  
City Literature

Citizen participation and sustainability are two main concepts used in the definitions in the smart city literature. Citizen participation is often used within the context of improving good governance in smart cities. Its relationship with sustainability is seldomly discussed. This study analyses the relationship between the concepts of smart city, smart sustainable city, and citizen participation, and discusses how citizen participation is shaped in smart sustainable cities. In light of this analysis, seven types of citizen participation mechanisms are studied. The findings of the study reveal that sustainability in smart cities is only considered within the framework of environmental matters, while citizen participation is only considered as a mechanism aimed at supporting good governance. The study recommends using these participation mechanisms to highlight other aspects of sustainability such as securing comprehensiveness, alleviating poverty, promoting gender equality and to focus on other aspects of citizen participation such as real participation and democratic effectiveness.

A City for Smart Technology Transformation

2022 ◽  
pp. 130-150
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
City Development ◽  
City Governments ◽  
Strategic Goals ◽  
The Government ◽  
Smart Technologies ◽  
Technology Transformation ◽  
The City

The main purpose of this chapter is to present how a smart city is governed, managed, and operated. It describes smart city governance and identifies the special relation the government of the city would have with the citizens as well as communities. In addition, governance considerations related to operations are described, including critical city government challenges. The second important topic in this chapter is the City-Citizens Relations highlighting urban growth, needed investments, and role of smart technologies in the city development. In addition, other issues include strategic goals of smart cities, strategic framework for city governments, and financing smart city projects.

scholarly journals The Impact of Cultural Aspects on Building the Smart City Approach: Managing Diversity in Europe (London), North America (New York) and Asia (Singapore)

2020 ◽  
Vol 12 (22) ◽  
pp. 9463
Author(s):  
Dominika Šulyová ◽  
Josef Vodák
Keyword(s):  
North America ◽  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Secondary Analysis ◽  
Diversity Management ◽  
Cultural Aspects ◽  
Positive Effects ◽  
Research Activities ◽  
The Impact

One of the main motives for creating this article was to explore the importance of cultural aspects in building smart city approaches. The aim of this article was to obtain answers to three research questions, the answers to which made it possible to identify the elements of multiculturalism that affect the development of smart cities, to find out how multiculturalism affects smart cities and how to manage diversity. The ambition was to create and organize the most important findings into a comprehensive framework. To achieve this goal, secondary analysis methods were used by examining the literature and case studies of best practices from Europe, North America, and Asia. The choice of case studies was conditioned by the placement of smart cities in four global indices (smart city index, Arcadis, IESE and global power index), the existence of a multicultural strategy and elements of successful diversity management, including positive effects and possible limitations. In addition, methods of analysis, comparison and summarization were used. Effective diversity management acts as an accelerator of the sustainable development of smart cities. The results of the analysis of the case studies serve as a basis for recommendations and the creation of a proposed general model, whose task is to simplify the adoption of intelligent concepts, which creates space for the specification of local or cultural conditions of the country. Testing the model in practice is the subject of the following research activities of the authors.

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