scispace - formally typeset
Open AccessJournal ArticleDOI

Applications of big data to smart cities

Reads0
Chats0
TLDR
The review reveals that several opportunities are available for utilizing big data in smart cities; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology.
Abstract
Many governments are considering adopting the smart city concept in their cities and implementing big data applications that support smart city components to reach the required level of sustainability and improve the living standards. Smart cities utilize multiple technologies to improve the performance of health, transportation, energy, education, and water services leading to higher levels of comfort of their citizens. This involves reducing costs and resource consumption in addition to more effectively and actively engaging with their citizens. One of the recent technologies that has a huge potential to enhance smart city services is big data analytics. As digitization has become an integral part of everyday life, data collection has resulted in the accumulation of huge amounts of data that can be used in various beneficial application domains. Effective analysis and utilization of big data is a key factor for success in many business and service domains, including the smart city domain. This paper reviews the applications of big data to support smart cities. It discusses and compares different definitions of the smart city and big data and explores the opportunities, challenges and benefits of incorporating big data applications for smart cities. In addition it attempts to identify the requirements that support the implementation of big data applications for smart city services. The review reveals that several opportunities are available for utilizing big data in smart cities; however, there are still many issues and challenges to be addressed to achieve better utilization of this technology.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Critical analysis of Big Data challenges and analytical methods

TL;DR: In this article, the authors present a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.
Journal ArticleDOI

Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

TL;DR: The paper presents a brief overview of smart cities, followed by the features and characteristics, generic architecture, composition, and real-world implementations ofSmart cities, and some challenges and opportunities identified through extensive literature survey on smart cities.
Journal ArticleDOI

Smart sustainable cities of the future: An extensive interdisciplinary literature review

TL;DR: The applied theoretical inquiry into smart sustainable cities of the future is deemed of high pertinence and importance—given that the research in the field is still in its early stages, and that the subject matter draws upon contemporary and influential theories with practical applications.
Journal ArticleDOI

The role of big data in smart city

TL;DR: The state-of-the-art communication technologies and smart-based applications used within the context of smart cities are described and a future business model of big data for smart cities is proposed, and the business and technological research challenges are identified.
Journal ArticleDOI

Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

TL;DR: The state-of-the-art research efforts directed toward big IoT data analytics are investigated, the relationship between big data analytics and IoT is explained, and several opportunities brought by data analytics in IoT paradigm are discussed.
References
More filters
Journal ArticleDOI

Data mining with big data

TL;DR: A HACE theorem is presented that characterizes the features of the Big Data revolution, and a Big Data processing model is proposed, from the data mining perspective, which involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations.
Proceedings ArticleDOI

Understanding Smart Cities: An Integrative Framework

TL;DR: Eight critical factors are identified that form the basis of an integrative framework that can be used to examine how local governments are envisioning smart city initiatives and suggest directions and agendas for smart city research and outlines practical implications for government professionals.
Journal ArticleDOI

Current trends in Smart City initiatives: some stylised facts

TL;DR: In this article, a taxonomy of pertinent application domains, namely, natural resources and energy, transport and mobility, buildings, living, government, and economy and people, is presented.
Journal ArticleDOI

The real-time city? Big data and smart urbanism

TL;DR: In this article, the authors focus on the implications of big data and smart urbanism, examining five emerging concerns: the politics of big urban data, technocratic governance and city development, corporatisation of city governance and technological lock-ins, buggy, brittle and hackable cities, and the panoptic city.
Book

Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia

TL;DR: Townsend as mentioned in this paper takes a broad historical look at the forces that have shaped the planning and design of cities and information technologies from the rise of the great industrial cities of the nineteenth century to the present.
Related Papers (5)