scholarly journals Open Data Based Machine Learning Applications in Smart Cities: A Systematic Literature Review

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2997
Author(s):  
Luminita Hurbean ◽  
Doina Danaiata ◽  
Florin Militaru ◽  
Andrei-Mihail Dodea ◽  
Ana-Maria Negovan
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart City ◽  
Smart Cities ◽  
Open Data ◽  
Quality Of Data ◽  
Data Movement ◽  
Depth Analysis ◽  
Machine Learning Applications

Machine learning (ML) has already gained the attention of the researchers involved in smart city (SC) initiatives, along with other advanced technologies such as IoT, big data, cloud computing, or analytics. In this context, researchers also realized that data can help in making the SC happen but also, the open data movement has encouraged more research works using machine learning. Based on this line of reasoning, the aim of this paper is to conduct a systematic literature review to investigate open data-based machine learning applications in the six different areas of smart cities. The results of this research reveal that: (a) machine learning applications using open data came out in all the SC areas and specific ML techniques are discovered for each area, with deep learning and supervised learning being the first choices. (b) Open data platforms represent the most frequently used source of data. (c) The challenges associated with open data utilization vary from quality of data, to frequency of data collection, to consistency of data, and data format. Overall, the data synopsis as well as the in-depth analysis may be a valuable support and inspiration for the future smart city projects.

scholarly journals Machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review

2021 ◽  
Vol 10 (2) ◽  
pp. 62
Author(s):  
Vitória Albuquerque ◽  
Miguel Sales Dias ◽  
Fernando Bacao
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Research Question ◽  
Machine Learning Algorithms ◽  
Urban Transport ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Bike Sharing

Cities are moving towards new mobility strategies to tackle smart cities’ challenges such as carbon emission reduction, urban transport multimodality and mitigation of pandemic hazards, emphasising on the implementation of shared modes, such as bike-sharing systems. This paper poses a research question and introduces a corresponding systematic literature review, focusing on machine learning techniques’ contributions applied to bike-sharing systems to improve cities’ mobility. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) method was adopted to identify specific factors that influence bike-sharing systems, resulting in an analysis of 35 papers published between 2015 and 2019, creating an outline for future research. By means of systematic literature review and bibliometric analysis, machine learning algorithms were identified in two groups: classification and prediction.

scholarly journals Social Inclusion Indicators for Building Citizen-Centric Smart Cities: A Systematic Literature Review

2021 ◽  
Vol 13 (1) ◽  
pp. 376
Author(s):  
Jalaluddin Abdul Malek ◽  
Seng Boon Lim ◽  
Tan Yigitcanlar
Keyword(s):  
Developing Countries ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart City ◽  
Social Inclusion ◽  
Local Community ◽  
Smart Cities ◽  
Developed Countries ◽  
The Social ◽  
Governance Practices

Despite the rhetoric of “citizen-first,” which has been tokenized in recent years by the smart city administrations, what it means has long been unclear to many, including the public at large. Put simply, this rhetoric concerns the mindset of the members of a local community and places them at the heart of the smart city initiatives. In order to bring further clarity to this issue under the current neoliberal urbanism, this study aimed to identify the key indicators of citizen-centric smart cities from the perspective of participative governance practices and citizens’ responsibilities. To achieve this aim, this study involved a systematic literature review of the social inclusion indicators for building citizen-centric smart cities. The social inclusion indicators that were formed were verified by practitioners to suit the local contexts of an emerging and developing country, in this case, Malaysia. The findings of the review revealed that: (a) the acceptance of social inclusion indicators was mainly limited to the realm of democratic developed countries, leaders’ understanding of citizenship, the delegation of decision-making power in governance practices, the participative culture of societies, and individual citizens’ self-discipline; (b) the social inclusion indicators may not be welcomed in emerging and developing countries; (c) in the long term, these indicators would shed light on the rise of self-organizing cities that will gain popularity in potential city developments, be it in developed or developing countries.

scholarly journals Systematic Literature Review: Smart City Framework

Tech-E ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 57-67
Author(s):  
Riki Riki ◽  
◽  
Setyawan Widyarto ◽  
Saliyah Kahar ◽  
◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Smart City ◽  
Smart Cities ◽  
Excess Capacity ◽  
Demographic Analysis ◽  
Large Cities ◽  
The World ◽  
Three Stages ◽  
Result Analysis

Smart cities are currently becoming the trend of large cities in the world and large cities in Indonesia. As the center of human civilization, cities cannot do without the problems of excess capacity and comfort. More and more people are migrating from the countryside to the cities, which brings new problems to the cities. Cities need to change to survive in the future. Strong indicators are needed to support cities, whether in terms of natural environment, society, communities, infrastructure, and education. In this article, we discuss a systematic literature review of research related to smart cities. The systematic literature review is divided into three stages, introduction stage, demographic analysis stage and result analysis. The results reveal important indicators of smart cities based on the conclusions of previous research

scholarly journals Smart City Ontologies and Their Applications: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5578
Author(s):  
Antonio De Nicola ◽  
Maria Luisa Villani
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Smart City ◽  
Smart Cities ◽  
Open Problems ◽  
Research Issues ◽  
Multidisciplinary Analysis ◽  
Relevant Role ◽  
The City

The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.

scholarly journals An Intelligent Literature Review: an Inductive Approach to define Machine Learning Applications in the clinical domain

2022 ◽  
Author(s):  
Renu Sabharwal ◽  
Shah Jahan Miah
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Big Data Analytics ◽  
Decision Makers ◽  
Machine Learning Applications ◽  
Two Stages ◽  
Clinical Domain

Abstract Big data analytics utilizes different analytics techniques to transform large volume and diversified big dataset. The analytics uses various computational methods such as different Machine Learning (ML) in convert raw data to valuable insights. The ML assist individuals to perform work activities quicker and better, and empower decision-makers in system use. Since academics and industry practitioners have growing interests on ML, how different applications of ML in specific problem domains have been explored, but not in a holistic manner from the past literature. This paper aims to promote the utilization of intelligent literature review for researchers by introducing a step-by-step framework on a case providing the code template. We offer an intelligent literature review to obtain in-depth analytical insight of ML applications in the clinical domain to: a) develop the intelligent literature framework using traditional literature and Latent Dirichlet Allocation (LDA) topic modeling, b) analyze research documents using traditional systematic literature review revealing ML applications, and c) identify topics from documents using LDA topic modeling. We used a PRISMA framework for the traditional literature review, reviewed four databases (e.g. IEEE, PubMed, Scopus, and Google Scholar), which are published between 2016 and 2021 (September). The framework comprises two stages – Traditional systematic literature review and LDA topic modeling. The intelligent literature review framework reviewed 305 research documents in a transparent, reliable, and faster way.

scholarly journals Smart City Governance in Developing Countries: A Systematic Literature Review

2020 ◽  
Vol 12 (3) ◽  
pp. 899 ◽  
Author(s):  
Si Tan ◽  
Araz Taeihagh
Keyword(s):  
Developing Countries ◽  
Literature Review ◽  
Citizen Participation ◽  
Systematic Literature Review ◽  
Environmental Sustainability ◽  
Smart City ◽  
Smart Cities ◽  
City Development ◽  
Basic Infrastructure ◽  
Infrastructure Maintenance

Smart cities that make broad use of digital technologies have been touted as possible solutions for the population pressures faced by many cities in developing countries and may help meet the rising demand for services and infrastructure. Nevertheless, the high financial cost involved in infrastructure maintenance, the substantial size of the informal economies, and various governance challenges are curtailing government idealism regarding smart cities. This review examines the state of smart city development in developing countries, which includes understanding the conceptualisations, motivations, and unique drivers behind (and barriers to) smarty city development. A total of 56 studies were identified from a systematic literature review from an initial pool of 3928 social sciences literature identified from two academic databases. Data were analysed using thematic synthesis and thematic analysis. The review found that technology-enabled smart cities in developing countries can only be realised when concurrent socioeconomic, human, legal, and regulatory reforms are instituted. Governments need to step up their efforts to fulfil the basic infrastructure needs of citizens, raise more revenue, construct clear regulatory frameworks to mitigate the technological risks involved, develop human capital, ensure digital inclusivity, and promote environmental sustainability. A supportive ecosystem that encourages citizen participation, nurtures start-ups, and promotes public–private partnerships needs to be created to realise their smart city vision.

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