Government affairs service platform for smart city

Lv, Zhihan; Li, Xiaoming; Wang, Weixi; Zhang, Bao-Yun; Hu, Jinxing; Shi, Feng

doi:10.1016/j.future.2017.08.047

Cited by 156 publications

(71 citation statements)

References 15 publications

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“…From an ICT perspective, its technologies are often transversal to all domains and challenges, and they address a number of scenarios of smart cities spanning from e-tourism [88], e-culture [11], e-government [61], smart energy [63], smart mobility [96], e-health/ wellbeing [25], just to mention a few.…”

Section: Smart Citymentioning

confidence: 99%

Internet of Things for enabling smart environments: A technology-centric perspective

Gómez

Chessa

Fleury

et al. 2019

AIS

114

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The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and actuators, which enable their connection to the Internet. The IoT is seen as the key ingredient for the development of smart environments. Nevertheless, the current IoT ecosystem offers many alternative communication solutions with diverse performance characteristics. This situation presents a major challenge to identifying the most suitable IoT communication solution(s) for a particular smart environment. In this paper we consider the distinct requirements of key smart environments, namely the smart home, smart health, smart cities and smart factories, and relate them to current IoT communication solutions. Specifically, we describe the core characteristics of these smart environments and then proceed to provide a comprehensive survey of relevant IoT communication technologies and architectures. We conclude with our reflections on the crucial features of IoT solutions in this setting and a discussion of challenges that remain open for research.

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Section: Smart Citymentioning

confidence: 99%

Internet of Things for enabling smart environments: A technology-centric perspective

Gómez

Chessa

Fleury

et al. 2019

AIS

114

View full text Add to dashboard Cite

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“…In the field of smart cities big data analytics is the key technology to enable evidence‐based decision making, developing and providing new public services as well as allowing citizens to co‐create new public services (Lv et al, ; Dustdar, Nastic, & Scekic, , etc.). Big data can also be used to monitor government initiatives (Malik, Sam, Hussain, & Abuarqoub, ) as well as provision of various user‐related public services (Zhang, Zhang, Zhang, Shi, & Zhong, ).…”

Section: Big Data Analytics In Smart Citiesmentioning

confidence: 99%

Smart city big data analytics: An advanced review

Soomro

Bhutta

Khan

et al. 2019

WIREs Data Min & Knowl

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With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing. Various artificial intelligence, data mining, machine learning and statistical analysis-based solutions have been successfully applied in thematic domains like climate science, energy management, transport, air quality management and weather pattern analysis. In this paper, we present a systematic review of the literature on smart city big data analytics. We have searched a number of different repositories using specific keywords and followed a structured data mining methodology for selecting material for the review. We have also performed a technological and thematic analysis of the shortlisted literature, identified various data mining/machine learning techniques and presented the results. Based on this analysis we also present a classification model that studies four aspects of research in this domain. These include data models, computing models, security and privacy aspects and major market drivers in the smart cities domain. Moreover, we present a gap analysis and identify future directions for research. For the thematic analysis we identified the themes smart city governance, economy, environment, transport and energy. We present the major challenges in these themes, the major research work done in the field of data analytics to address these challenges and future research directions.

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“…Very recently, Lv et al (2018), deployed 3D GIS and cloud computing to develop a government affairs service platform for facilitating and handling smart city planning. Soille et al (2018) proposed a data-intensive computing platform for retrieving information from big geospatial data from earth observation satellites.…”

Section: Smart City Data Infrastructurementioning

confidence: 99%

“…Gaur et al (2015) proposed a Multi-Level Smart City architecture based on semantic web technologies and Dempster-Shafer uncertainty theory to support smart city applications by facilitating the interaction between wireless sensor networks and ICT. SUDS differs from already existing spatially enabled smart city analytics infrastructure, such as those proposed by Lv et al (2018) and Khan et al (2015) by focusing largely on the generation and use of small-area socioeconomic metrics on a countrywide basis collected at regular intervals. Previous indicators and metrics used in studying urban area dynamics are at a higher spatial scale such as regional or national levels.…”

Section: Smart City Data Infrastructurementioning

confidence: 99%