Smart City Implementation Research Articles

Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment

This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that rely on large-scale data collection, analysis, and decision-making. This paper presents an overview of smart cities’ various applications and discusses the challenges associated with implementing IoT and machine learning in urban environments. The paper also compares different case studies of successful smart city implementations utilizing IoT and machine learning technologies. The findings suggest that these technologies have the potential to transform urban environments and enable the creation of more livable, sustainable, and efficient cities. However, significant challenges remain regarding data privacy, security, and ethical considerations, which must be addressed to realize the full potential of smart cities.

Are smart cities more sustainable? An exploratory study of 103 U.S. cities

Cities play a vital role in tackling sustainability challenges. Smart cities have emerged as solutions to urban sustainability. However, whether smart city practices lead to environmental, economic, and social sustainability outcomes is still not clear. This is due to a lack of thorough knowledge of how local governments have deployed the smart city notion, as well as a lack of holistic evaluation of sustainability outcomes achieved by smart cities. To fill in this gap, this research evaluates whether local implementation of smart cities is associated with sustainability outcomes at the city level. We studied 103 US cities by integrating a sustainability assessment conducted by the United Nations Sustainable Development Solutions Network and text mining of city official websites. Our analysis shows that more than 80% of the 103 cities have smart city statements on their websites. In addition, smart cities generally score higher on sustainability outcomes than non-smart cities. Furthermore, when controlling for population size and geographic region, smart city mentions are positively associated with economic sustainability outcomes. However, the relationship between smart city mentions and environmental and social sustainability is not statistically significant. This study contributes to the literature by providing empirical evidence on the prevalence of local governments’ deployment of smart cities, which is scarce at present, and gives novel insight into the relationship between the use of technologies and urban sustainability.

CHALLENGES AND OPPORTUNITIES IN IMPLEMENTING SMART CITY INITIATIVES IN SMALL METROPOLITAN AREAS: LESSONS FROM ASAYISH TOWNSHIP, BALKH

In order to execute smart city programs in small metropolitan regions, there are both possibilities and obstacles that need to be considered. A mixed-methods approach is used in the study, which is based on a case study of ASAYISH Township in Balkh and includes interviews with important stakeholders and a review of pertinent literature. The findings showthat although implementing smart city programs in small metropolitan areas presents special obstacles, doing so has the potential to address a number of urban concerns, including those connected to transportation, energy, and public services. The study finishes by emphasizing the necessity for policymakers to give small metropolitan regions top priority when implementing smart city efforts.

Managing future cities: media and information and communication technologies in the context of change

Abstract Purpose The goal of this paper is to examine the usage of information technologies and media in two European case studies – Berlin and Warsaw. Findings from the research can be used to create urban policies and media infrastructure design, based on the different strategies of two European cities. Berlin and Warsaw have taken different paths in implementing the smart city concept, adapting the idea to their economic, historical, and social realities. Media are understood here as human-machine and machine-machine communications, and also in terms of both physical and digital media infrastructure. Methodology The research aims at examining strategies and institutions (both private and public) in light of the practical implementation of smart solutions by City Hall authorities. The study combines analysis of grey literature (news reports, corporate strategies, City Hall documentation) with qualitative research: 30 semi-structured interviews conducted with local municipalities and city planners in both cities. Findings Findings are likely to provide evidence potential drivers and barriers to the implementation of smart city solutions. The results provide evidence that media and information technologies in the city are implemented due to the data policies of entities that usually implement smart city strategy independently. The task of city authorities is to guarantee access to basic infrastructure, which is the basis for creating other solutions by private entities. Practical implications The empirical research is likely to provide evidence that Berlin and Warsaw have not yet fully appreciated the solutions based on communication between machines, but there is increasing use of ‘ad hoc’ solutions. Social implications This study may be used as a source of information for smart city managers, media infrastructure, and urban strategy with a focus on residents and information and communication technologies. Findings are addressed to media and urban experts and scholars, as well as sociologists, political scientists, engineers, ICT specialists, policy-makers, city managers and citizens. Value The study shows the growing importance of mobile devices, media-like services and ICT have resulted in changes in City Hall’s development strategies and new theoretical approaches through which the cities might be analysed. This study finds that networks, platforms and media infrastructure have been used to describe new ways of communication between city authorities, citizens and machines. It has been argued that fostering an advanced media infrastructure (soft and hard) has the potential to create “The Future City”.

Трансформация повседневности современного человека под влиянием технологий искусственного интеллекта

The article analyzes the main directions of modern man's transformation in daily life under the impact of artifi-cial intelligence technologies. Based on the approach of the Austrian sociologist A. Schütz in defining the eve-ryday world, the authors identify significant directions in its transformation under conditions of digitalization, namely: transformation of the intersubjective interaction structure; emergence of new sources of available knowledge; diversification of spatial and temporal structures of daily life; construction of new daily practices. Considering the positive effects of the introduction of artificial intelligence technologies as part of the imple-mentation of smart city and smart home strategies, the authors point out the shifts in the structure of daily prac-tices due to their impact, which have an ambiguous nature, often turning an active subject into an object of ma-nipulation. In conclusion, the authors underline the importance of a rational and balanced approach to the fur-ther active integration of smart devices into human daily life that should be above any commercial interests.

Inclusive Growth in Smart Cities: Addressing Socio-Economic Inequalities in India

Smart cities are crucial for achieving urban development goals, as they provide a framework for creating sustainable environments. However, each country has its own unique approach to implementing smart cities, tailored to their specific ecosystems. In the case of India, a vast subcontinent with approximately 17% of the global population, improving the delivery of its Smart City Mission (SCM) is essential. This article explores the current state of India's smart city mission and examines the factors that contribute to its progress and challenges. By addressing these issues, India can enhance its sustainability and continuously strive to create a better climate for urban development.

IoT-driven Environmental Support System for Smart Cities

Smart city is a concept of urban development that integrates information and communication technology (ICT) to enhance efficiency, quality of life, and environmental sustainability. The implementation of smart city has become increasingly popular in the last five years, with many countries developing smart city initiatives, such as the "Smart City Pilot" program in China and the development of smart city applications and platforms in the United States. In Indonesia, several major cities have started developing various digital applications and platforms to improve public service efficiency and encourage economic growth. However, there are still some challenges that need to be addressed, such as inadequate ICT infrastructure, lack of supportive regulations and policies, and insufficient active participation from the community. The use of IoT in smart city plays an important role in collecting real-time data from various connected sensors and devices, allowing for more accurate and timely decision-making. In the long term, this can help improve the overall quality of life of the community. In Indonesia the smart city movement is being intensively implemented by the government with the aim of creating 100 smart cities, so there needs to be efforts made to increase the development of smart cities in Indonesia.

Smart City Policy: Strategy and Implementation to Realize Smart Urban Governance in Indonesia

This paper elaborates on policies, strategies, and implementation of Smart Cities in Indonesia. Due to regulatory, strategy, and implementation problems for Smart City, there are still differences in understanding and strategy in its implementation. Smart urban governance is part of a smart city, so one strategy to implement smart urban governance is a smart city policy in Indonesia. There is a fragmentation of inconsistent approaches, policies, implementations, and strategies in practice. This research will develop arguments, analyze published articles and regulations, and map them out. The research method used was a qualitative approach. The data sources used were articles from Scopus which found 213 articles using the keywords smart city policies and smart urban governance and regulations, which were then processed using VOSviewer and Nvivo 12 Plus software. This study indicated that to implement smart urban governance in Indonesia, strategies such as the first need to be supported by the central government to make a policy regarding smart cities, including smart urban governance, followed by smart city policies in the towns in Indonesia. Second, there are technological developments that support the implementation of smart cities. Third, there are institutional and human resource factors, but these are still obstacles to implementing smart cities in Indonesia. Meanwhile, the urban issues developed in Indonesia are mega-urban in the big island, urban management and financing, housing for lower-income, sustainable urban infrastructure, and resilient disaster mitigation and management.

Smart Bin for Solid Waste Management in Cities

With the increase in population, the amount of waste generated has increased significantly worldwide and proper waste management has become inevitable. In majority of the cities, trash cans are over flowing due to untimely management of waste. An effective system is required to collect the waste from trash cans and prevent overflow. For cleaner environment and implementation of smart cities, it is essential to reduce overflowing litter cans by a monitoring system. The proposed system keeps track on trash cans and detects the level in it and updates it in a web page. The same could be viewed on a mobile app of the garbage collector and determine the shortest path by linking various routes of the almost full bins. Alerts are produced as in app-notifications for the user. The IoT based garbage monitoring system will enable to maintain a cleaner community.

Analyzing the Challenges for Future Smart and Sustainable Cities

The fast growth of the urban population increases the demand for energy, water, and transportation, amongst other needs. This study explores the current state and future scenarios of Smart Cities and the environmental, economic, and social challenges that must be overcome. We used the Rapid Review method to understand the challenges of implementing Smart Cities in different urban contexts and the potential impact of research on Smart City planning in future Smart Cities. The study offers insights into the potential for Smart City growth while identifying obstacles that must be addressed to ensure sustainability. Results serve as a foundation for planning and decision-making, highlighting aspects such as the adoption of alternative energies, reduction in car use, preservation of ecosystems, waste reduction, citizen participation, infrastructure, and citizen data privacy, among others. These aspects are essential to overcome obstacles and promoting Smart Cities’ development.

Smart city implementation based on Internet of Things integrated with optimization technology

A smart city is a system that uses technology means to create, implement, and promote environmentally friendly solutions to the problems caused by growing urbanisation. The smart city is a key answer that will allow us to continue with our regular lives during and after the epidemic. To better serve its citizens, a smart city takes advantage of modern technology and innovative solutions in areas including healthcare, educational, energy provision, transport, and communications. Applications of the Internet of Things have led to the development of "Smart Cities" all around the globe. In order to further the development of smart cities toward effective sharing and interconnection, this study will examine the smart city data technology based on the Internet of Things (IoT) and cloud computing (CC). Initially, we gather IoT data based on the smart cities. The gathered data is normalised. Machine learning sets the way for the IoT, which allows machines to communicate with one another without any human intervention. So we utilize machine learning algorithm called Advanced Random Forest (ARF). For multi-criteria optimization, we suggest Adaptive cloud computing virtual machine resource allocation technique (ACC-VMRA). We analyse and simulate the use of IoT and CC technologies in a smart city to verify its efficacy. The experimental finding demonstrates the recommended optimization algorithm's superior efficiency to other currently used techniques.

Studi Komparasi Layanan Smart City Antara Kota Semarang dan Kota Malang


 Aulia Surya Pertiwi1, Ilmi Sulistiati Anisa2, Muhammad Thoriq Ramadhan3, Siti Wahyuni Rahmawati4, Tria Rama Nabila5, Irvan Arif Kurniawan6
 Universitas Islam Syekh-Yusuf Tangerang, Fakultas Ilmu Sosial dan politik. 
 Program studi Ilmu Administrasi Negara
 auliasryprtwi@gmail.com1, ilmysulistiatianisa@gmail.com2, rthoriq23@gmail.com3, yunnir016@gmail.com4, trianabila112@gmail.com5, iakurniawan@unis.ac.id6
 
 ABSTRACT.
 A smart city is one that includes contemporary infrastructure and transportation systems, Additionally to human and social capital, create high-quality, long-term economic growth. The idea of the "Smart City" is becoming prevalent in major cities around the globe. This also applies to Indonesia. 2020 saw the release of the "Movement Towards 100 Smart Cities" by the Indonesian government. This was a significant milestone in the country's effort to digitize public services. Semarang City is one of the cities used as a model for the growth of smart cities in Indonesia. While it cannot be separated from that, one of the top aims for Malang Metropolis's development in 2022 is to realize a Smart City-based city. The chosen method is to use a literature review as a research strategy. In this literature study research, which is a series of events or activities related to library data collection methods, specifically by recording and processing research material taken from previous studies, the implementation of Smart City services in the cities of Semarang and Malang is being compared. In order to maximize the efficiency of creating a city, enhance the quality of life, and boost the local economy, the implementation of smart cities in the cities of Semarang and Malang has utilized and applied a universal method. Based on research supporting Cohen Boyd's "Smart City" theory, this is said.
 Keywords: Smart City, City Development, Semarang City, Malang City

The Implementation Of Smart Cities Can Effect The Poverty Rate Reduces In The East Barito District

The Implementation Of Smart Cities Can Effect The Poverty Rate Reduces In The East Barito District

Implementation of "Jakarta Smart City" In One-Stop-Service: Daily Need In The City South Jakarta?

This paper aims to discuss the implementation of the “Jakarta Smart City” (JAKI) application policy in the South Jakarta City area in 2020. And to find out more about the implementation and the supporting and inhibiting factors for the JAKI application. This research focuses on the implementation of the "JakLapor" feature found in the JAKI application. This study uses four indicators obtained from George C. Edward III's policy implementation theory, namely Communication, Resources, Disposition and Bureaucratic Structure. This study uses a qualitative approach, using primary and secondary data sources—obtained Primary data sources from observations and interviews with informants—received Secondary data sources from document searches. The study results indicate that the JAKI application in South Jakarta City has not utilized technology and communication to realize better public services. The use of Smart City has also not succeeded in increasing public and government participation in using application data, providing input and criticism of the implementation of public services. Furthermore, the JAKI application also has supporting and inhibiting factors in its application. However, there are also challenges in implementing Smart City in Indonesia, such as inadequate infrastructure, data security problems, and limited access to technology for people in rural areas. Therefore, there is a need for collaboration between the government, private sector, and society to overcome these challenges and ensure the implementation of a sustainable and inclusive Smart City in Indonesia.

A STUDY ON SELF SUSTAINABLE DEVELOPMENT WITH REVENUE GENERATION MODELLING IN SMART CITIES

Government of India plans to implement Smart City Program for next 5 years (FY 2015-16 to FY 2019-20) to transform 100 Indian Cities to Smart Cities. "100 Smart Cities Mission" was launchedby Prime Minister Narendra Modi on 25 June 2015. Cities are engines of growth for the economy of every nation, including India. With increasing urbanization, by 2030, it is anticipated that 40% of Indians would live in urban regions, which will also account for 75% of the country's Economy. Smart Cities Mission is an effort by the Government of India to drive India into the age of advancement through economic growth. Smart City has been envisioned as 24/7 activity based, thriving and energetic place where people will live work and play. An innovative city that ideally involve the urban planners to develop and transform the entire urban ecosystem with integration of information and communication technologies to improve quality of life.

Identifying threats, cybercrime and digital forensic opportunities in Smart City Infrastructure via threat modeling

Technological advances have enabled multiple countries to consider implementing Smart City Infrastructure to provide in-depth insights into different data points and enhance the lives of citizens. Unfortunately, these new technological implementations also entice adversaries and cybercriminals to execute cyber-attacks and commit criminal acts on these modern infrastructures. Given the borderless nature of cyber attacks, varying levels of understanding of smart city infrastructure and ongoing investigation workloads, law enforcement agencies and investigators would be hard-pressed to respond to these kinds of cybercrime. Without an investigative capability by investigators, these smart infrastructures could become new targets favored by cybercriminals.To address the challenges faced by investigators, we propose a common definition of smart city infrastructure. Based on the definition, we utilize the STRIDE threat modeling methodology and the Microsoft Threat Modeling Tool to identify threats present in the infrastructure and create a threat model which can be further customized or extended by interested parties.Next, we map offences, possible evidence sources and types of threats identified to help investigators understand what crimes could have been committed and what evidence would be required in their investigation work. Finally, noting that Smart City Infrastructure investigations would be a global multi-faceted challenge, we discuss technical and legal opportunities in digital forensics on Smart City Infrastructure.

Development and application of an integrated smart city model

This study presents an innovative integrated approach for smart cities, aimed at promoting environmentally sustainable economies through novel technological and socio-economic transitions. The proposed model determines the smart city index (SCI) by aggregating 32 distinct performance indicators that significantly transform the environment, economy, energy, social, governance, and transportation sectors. This model is inherently multidisciplinary and is methodologically processed using multi-criteria decision analysis, which is aggregated using four distinct weighting schemes. The model results reveal that based on the equal weighting scheme, Sydney emerges as the city with the highest SCI score of 0.72, whereas Lima is identified as the city with the lowest SCI score of 0.26. On the other hand, based on the sustainability triad scheme, Toronto tops the list with an SCI score of 0.77, whereas Abuja scores the lowest with an SCI score of 0.31. Interestingly, Toronto, Vancouver, and Montreal continue to maintain their position among the top 5 cities across all three schemes: equal weighting, sustainability triad, and energy-focused schemes. Furthermore, the energy-focused scheme identifies Montreal as the top-performing city, scoring 0.7, followed by Oshawa at 0.67, and four Canadian cities top the SCI scores in this scheme. In contrast, Lima still remains at the bottom of the list with an SCI score of 0.27. Finally, based on a smart health-focused scheme, Sydney, Osaka, and Hämeenlinna rank highest in SCI scores. Overall, the proposed approach and model provide valuable insights and guidelines for policy-makers and urban planners to design and implement smart city initiatives that can significantly enhance sustainable development and improve quality of life in urban settings.

Smart Security in Smart City Using Naïve Bayes and RSA

As all major cities adopt the concept of smart cities, concerns arise among the public regarding data security and privacy. The constant threat of attacks on confidentiality, integrity and accessibility of data makes it vulnerable to cyber attacks. The increasing use of IoT devices also increases the potential for cyber attacks that can harm all IoT users. Therefore, it is crucial for city governments to be aware of data security issues related to smart spaces, services, and citizen security, and to provide solutions to existing problems by making maximum policies related to the implementation of smart city concepts. From the above explanation, the author is taking the analysis step with the title "Analysis of Naive Bayes Classifier and Rsa (Rivest Shamir Adleman) Combination in Smart Security in the Implementation of Smart City in Pemko Medan" where the benefits that can be obtained are to gain deeper understanding of Smart Security level, obtain information about the Smart Securty level, and classify the stage of Smart Securty using the combination of Naive Bayes Classifier and Rsa (Rivest Shamir Adleman) in the implementation of Smart City in Pemko Medan.

Smart City Achievement through Implementation of Digital Health Services in Handling COVID-19 Indonesia

The digital transformation of health services is one of the impacts of the COVID-19 pandemic. Various overseas studies have shown a positive response to digital health services, especially in handling the COVID-19 pandemic. This study aims to compare the implementation of digital health services between regions in Indonesia and analyze strategies in the health sector that are appropriate in the era of digital transformation in handling COVID-19 in Indonesia. The focus of this research is on the implementation of digital transformation of health services as one of the derivatives of the Smart City implementation, especially the dimension of Smart Living. The research was conducted using qualitative methods with systematic literature reviews and SWOT analysis techniques. The typology map of the implementation of digital health services in Indonesia shows that digital health services dominate in the Western and Central parts of Indonesia, which varies widely from the Central and Eastern parts of Indonesia, which tend to have limited forms of digital transformation. Various factors certainly influence the difference in implementing digital health services in each region. Therefore, multiple strategies are needed, such as infrastructure improvement, stakeholder collaboration, and increasing the factors that influence the implementation of digital health services.

IMPLEMENTATION OF BUREAUCRACY REFORM THROUGH THE DEVELOPMENT AND IMPLEMENTATION OF SMART CITY IN CIMAHI CITY

The reform of the government bureaucracy marks a change in the government structure to a decentralized pattern. Consequently, the implementation of regional autonomy has changed the entire structure and function of the bureaucracy and the implementation of public services. Bureaucratic reform and public services are two important elements in governance management in the era of globalization. Bureaucratic reform is the government's commitment to implementing good governance to be able to have high competitiveness through the application of the concept of e-Government, one of which is the implementation and development of Smart Cities. Smart City is a city that combines information and communication technology (ICT) with the aim of improving the performance of government services. Smart cities in the era of globalization and digitalization can have a big impact on changing the lives of individuals and government organizations. Information technology in the era of globalization is the main means of improving human resources as implementers of government organizational systems. The implementation and development of Smart City aims to develop smart solutions for dealing with the challenges of urbanization, globalization, and the use of sophisticated information technology based on e-government.