scholarly journals Impact of Smart City Planning and Construction on Economic and Social Benefits Based on Big Data Analysis

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zihan Zhao ◽  
Yuhan Zhang
Keyword(s):  
Big Data ◽  
Rapid Growth ◽  
Smart City ◽  
City Planning ◽  
Urban Infrastructure ◽  
Social Benefits ◽  
Urban Management ◽  
Planning And Construction ◽  
The Impact ◽  
Big Data Technology

With the progress of urbanization, urban management is facing a series of challenges in the new situation. The scale of the city is growing, urban management problems are increasingly prominent, the urban population is showing a rapid growth trend, and various elements of urban infrastructure management, such as rapid growth and urban expansion, have increased the load of urban infrastructure. To make overall planning for urban transportation, municipal administration, economic industry, and public service, intelligent urban planning and construction came into being. Big data technology provides important support for the construction and development of smart city, which is not only an effective means to improve the design of smart city, but also the premise for the development of smart city. Therefore, this paper first introduces the characteristics of smart city, analyses the application of big data technology in smart city design, and finally evaluates the impact of smart city planning and construction based on big data on economic and social benefits.

scholarly journals Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

2020 ◽  
Vol 12 (14) ◽  
pp. 5595 ◽  
Author(s):  
Ana Lavalle ◽  
Miguel A. Teruel ◽  
Alejandro Maté ◽  
Juan Trujillo
Keyword(s):  
Big Data ◽  
Smart City ◽  
Smart Cities ◽  
Fire Department ◽  
Heterogeneous Data ◽  
Fire Extinguishing ◽  
Heterogeneous Data Sources ◽  
Iot Devices ◽  
Visualization Techniques ◽  
The Impact

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.

scholarly journals IMPROVING THE ENERGY EFFICIENCY OF SMART CITIES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 229 (3) ◽  
pp. 354-364
Author(s):  
MAKSIM D. PUSHKAREV ◽  
◽  
DMITRY A. PROKOFIEV ◽  
Keyword(s):  
Energy Efficiency ◽  
Smart City ◽  
Smart Cities ◽  
Urban Infrastructure ◽  
High Tech ◽  
The World ◽  
The Impact

Smart city technologies make the functioning of urban infrastructure more efficient, and the lives of citizens more comfortable and safe. During the COVID-19 pandemic, they were very popular, and this could not but affect the energy efficiency of high-tech megacities around the world. This article examines the impact of the COVID-19 pandemic on smart cities, and also offers a solution to the problem of energy efficiency of smart cities.

scholarly journals The prediction of the impact of climatic factors on short-term electric power load based on the big data of smart city

2017 ◽  
Vol 887 ◽  
pp. 012023
Author(s):  
Yunfei Qiu ◽  
Xizhong Li ◽  
Wei Zheng ◽  
Qinghe Hu ◽  
Zhanmeng Wei ◽  
...  
Keyword(s):  
Big Data ◽  
Electric Power ◽  
Smart City ◽  
Climatic Factors ◽  
Short Term ◽  
Power Load ◽  
Electric Power Load ◽  
The Impact

scholarly journals Research on XBRL Continuous Internal Audit under the Big Data

2021 ◽  
Vol 2050 (1) ◽  
pp. 012016
Author(s):  
Yong Wen
Keyword(s):  
Big Data ◽  
Relevant Literature ◽  
Digital Technologies ◽  
Internal Audit ◽  
Internal Auditing ◽  
Audit Process ◽  
New Models ◽  
Important Means ◽  
The Impact ◽  
Big Data Technology

Abstract The development of digital industrialization has promoted the continuous emergence of new industries, new formats and new models, and has also promoted the transformation of the traditional internal audit model to digital and intelligent. Big data, cloud computing, XBRL, artificial intelligence and other digital technologies are important means to achieve full audit coverage, big data audit has become a hot topic in the current audit field, relevant literature mainly focuses on the impact of big data on traditional audit concepts and audit methods, the impact and risks of big data technology on informatization audits, and how the auditing community responds. However, the research on the integration of big data technology and XBRL technology into continuous internal auditing is relatively rare. Based on the introduction of three XBRL continuous internal audit models, this article analyzes the continuous internal audit process of the XBRL information system, and discusses the application of big data technology in XBRL continuous internal audit.

scholarly journals Discussion on Remote Sensing Big Data to Promote the Development of Smart City

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ying Jiang ◽  
Jian Yin ◽  
Libin Zha
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Smart City ◽  
Urban Traffic ◽  
Internet Technology ◽  
Long Distance ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Internet Of Things Technology ◽  
Big Data Technology

<p>With the development and application of Internet technology, cloud computing, big data technology, Internet of things technology and other new generation information technology, smart city has gradually become the focus of global urban development. Remote sensing technology big data is the combination of remote sensing technology and big data technology. Remote sensing technology has the characteristics of long-distance, non-contact detection and wide coverage. And the data information collected by remote sensing equipment is analyzed by using big data technology to improve the application value of remote sensing technology. This paper first describes the characteristics of remote sensing big data and the connotation of smart city, and that the remote sensing big data technology can promote the intelligent supervision of urban pollution, urban planning, urban traffic intelligent response, and construction more reasonable and humanized, then it can help realize the development of urban traffic intelligent.</p>

Big Data and Visuality

2017 ◽  
Author(s):  
Janet Chan
Keyword(s):  
Big Data ◽  
Criminal Justice ◽  
Data Storage ◽  
Data Visualization ◽  
Crime Control ◽  
Big Data Analytics ◽  
Emotional Impact ◽  
Predictive Tool ◽  
The Impact ◽  
Big Data Technology

Internet and telecommunications, ubiquitous sensing devices, and advances in data storage and analytic capacities have heralded the age of Big Data, where the volume, velocity, and variety of data not only promise new opportunities for the harvesting of information, but also threaten to overload existing resources for making sense of this information. The use of Big Data technology for criminal justice and crime control is a relatively new development. Big Data technology has overlapped with criminology in two main areas: (a) Big Data is used as a type of data in criminological research, and (b) Big Data analytics is employed as a predictive tool to guide criminal justice decisions and strategies. Much of the debate about Big Data in criminology is concerned with legitimacy, including privacy, accountability, transparency, and fairness. Big Data is often made accessible through data visualization. Big Data visualization is a performance that simultaneously masks the power of commercial and governmental surveillance and renders information political. The production of visuality operates in an economy of attention. In crime control enterprises, future uncertainties can be masked by affective triggers that create an atmosphere of risk and suspicion. There have also been efforts to mobilize data to expose harms and injustices and garner support for resistance. While Big Data and visuality can perform affective modulation in the race for attention, the impact of data visualization is not always predictable. By removing the visibility of real people or events and by aestheticizing representations of tragedies, data visualization may achieve further distancing and deadening of conscience in situations where graphic photographic images might at least garner initial emotional impact.

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