Smart city reporting: A bibliometric and structured literature review analysis to identify technological opportunities and challenges for sustainable development
While policies and academic interest in smart cities gain momentum, there remain significant
gaps in practice and academic conceptualisations explaining it as a new source of …
gaps in practice and academic conceptualisations explaining it as a new source of …
Who uses smart city services and what to make of it: Toward interdisciplinary smart cities research
As research on smart cities garners increased attention and its status consolidates as one of
the fanciest areas of research today, this paper makes a case for a cautious rethink of the …
the fanciest areas of research today, this paper makes a case for a cautious rethink of the …
City data hub: Implementation of standard-based smart city data platform for interoperability
S Jeong, S Kim, J Kim - Sensors, 2020 - mdpi.com
Like what happened to the Internet of Things (IoT), smart cities have become abundant in
our lives as well. One of the smart city definitions commonly used is that smart cities solve …
our lives as well. One of the smart city definitions commonly used is that smart cities solve …
The role of big data in smart city
The expansion of big data and the evolution of Internet of Things (IoT) technologies have
played an important role in the feasibility of smart city initiatives. Big data offer the potential …
played an important role in the feasibility of smart city initiatives. Big data offer the potential …
Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective
IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …
health data, mobile data, urban data, security data, and many more, in the current age of the …
Exploiting IoT and big data analytics: Defining smart digital city using real-time urban data
Integration of all smart systems (such as smart home, smart parking, etc.) and the IoT
devices (such as sensors, actuators, and smartphones) in the city can play a vital role to …
devices (such as sensors, actuators, and smartphones) in the city can play a vital role to …
Big data and urban informatics: Innovations and challenges to urban planning and knowledge discovery
P Thakuriah, NY Tilahun, M Zellner - Seeing cities through big data …, 2017 - Springer
Big Data is the term being used to describe a wide spectrum of observational or “naturally-
occurring” data generated through transactional, operational, planning and social activities …
occurring” data generated through transactional, operational, planning and social activities …
A survey on an emerging area: Deep learning for smart city data
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …
congestion, environmental pollution, energy consumption, public safety, and so on …
SMART TSS: Defining transportation system behavior using big data analytics in smart cities
A smart city improves the quality of its citizens by providing access to ubiquitous services.
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …
Intelligent Transportation Systems (ITS) have a fundamental role in transforming a …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …