Smart city community governance based on blockchain big data platform

Author(s):  
Chunchun Chen ◽  
Xuhui Peng ◽  
Yaning Li ◽  
Wendong Xiao ◽  
Rui Zhao

In many fields of today’s society, the value that blockchain big data can bring has attracted more and more people’s attention. Due to people’s concerns, the rapid development of blockchain big data-related technologies, and their extensive application in national strategic guidelines, academic exploration, and life production, many countries now include the development of big data in their national blueprint plans for the future. China’s progress in big data is obvious to everyone, and it plays an important role in exploring the construction and governance of smart city communities. This article explores the research of smart city community governance based on the blockchain big data platform. Through analyzing the role of the blockchain big data platform, using the PBFT blockchain consensus algorithm, technology method, smart community governance model, etc., we try to provide community development suggestions, to further explore community governance innovation from the perspective of smart communities, which will provide new ideas for innovative social governance methods and help improve social service skills as a whole. The experimental results of this paper show that 77%of smart community management is still in its infancy, but smart city community governance based on the blockchain big data platform promotes smart communities to better serve residents and promotes the widespread and effective promotion of distinctive community governance models.

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985197
Author(s):  
Lei Qi ◽  
Jing Guo

With the acceleration of the construction of smart city in China, the construction of a smart community that acts as the last mile of a smart city is highly valued. Development of smart community service integrated management platform is to utilize intelligent equipment and software platform, to build an information platform for information sharing, service integration, and resource optimization, and to ultimately realize intelligent management and innovative services within the community. In this article, we propose the overall framework and application system of the intelligent community integrated service platform, providing a strong theoretical basis for the construction of smart communities at this stage, and carry out detailed analysis and design of the underlying infrastructure, supporting platform and basic database of the platform.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jie Guo ◽  
Wenhao Ling

We present a research on smart city planning and community governance using dynamic game methods, analyze the current status and problems of the current smart community service system, and put forward countermeasures and suggestions based on the global smart community development experience. Through smart city planning and construction, the game model of government governance and information sharing between communities and decision making is obtained, and the two-dimensional replication dynamic system equations of smart city planning and construction agencies and communities are obtained from smart city planning and construction. The evolutionary stability strategy and a united front are analyzed. The strategy achieves the ideal stable conditions. We define the relevant definition of a smart community and discuss the purpose and significance of the research, especially the importance and necessity of the construction of the smart community. Based on the current situation of the construction of smart communities, we conduct specific research, discuss the deficiencies and shortcomings in the current construction of smart communities, and find out the causes of these problems. Finally, based on learning from the relevant work experience, corresponding improvement measures are proposed for the existing problems from the united front, top-level design, social participation, platform construction, and talent training.


2015 ◽  
Vol 10 (2) ◽  
pp. 319-325 ◽  
Author(s):  
Yukio Fujinawa ◽  
◽  
Ryoichi Kouda ◽  
Yoichi Noda ◽  
◽  
...  

The so-called “smart” community try to maintain a balance between supply and demand for economic energy consumption in the future world of increased urbanization and CO2 emissions. In recent, frequent occurrences of disasters such as earthquakes, floods, and typhoons possibly induced by global warming, we should build smart communities resilient against natural and man-made risks. The resilient smart community requires two types of solutions –soft and hard. We propose here a scheme of smart city withstanding natural hazards taking into account disaster information focusing on earthquake disaster information.


2018 ◽  
Vol 12 (1) ◽  
pp. 21-36 ◽  
Author(s):  
Debra Lam ◽  
John Wagner Givens

Abstract Research and development on smart cities has been growing rapidly. Smart cities promise a new era of living efficiently, sustainably, and safely. The tools and technologies deployed aim to drive better public decision-making on everything from where we live to how we work. While the world is rapidly urbanizing, a substantial percentage of the population still lives in smaller and rural communities. Smart city solutions as they are defined here are process driven and not constrained by population or geographic metrics; they are the application of technology and data to improve the quality of life. Smaller communities can also be smart, and excluding or ignoring them widens inequality, limits use cases, and restrains innovation. Using South Bend, Indiana as an example, the authors examine the power and potential of smaller smart cities. They then transfer this thinking to Georgia and Georgia Tech’s initiative working with local governments across the state on smart community development. This article is one of the first of its kinds in examining smaller smart communities as models for smart living.


2022 ◽  
Vol 2146 (1) ◽  
pp. 012013
Author(s):  
Shurun Xie

Abstract With the rapid development of Internet technology, the process of urban construction is accelerating and the level of urbanization is further improved. In the smart city rail automatic fare collection system, there are a large number of data information and data that need to be processed manually. The traditional manual method not only consumes human, material and financial resources, but also has low efficiency. Therefore, this paper proposes a smart city rail automatic fare collection system based on big data design. Firstly, this paper expounds the concept of smart city rail transit and studies the function of automatic fare collection system. Then it studies the definition and characteristics of big data, designs the method of system development, and tests the performance of the system. The test results show that the system runs smoothly, accounts for a relatively small amount of memory, has a fast response speed and low delay. Most passengers are satisfied with the system.


Author(s):  
R. Bovkir ◽  
A. C. Aydinoglu

Abstract. The change and rapid development in information and communication technologies in recent years has caused increasing the data sources and the volume of data. With the smart city concept, big and complex data collected from the internet of things (IoT), smart sensors, and wearable technologies has been introduced into our lives. Such big data can provide various opportunities and possibilities in urban management, however, to obtain meaningful information from big volume complex data is challenging. Visual analytics techniques provide an effective way for extracting significant information from big data. With the integration of geographic information systems (GIS) and its ability on geographic analysis, big data produced by the IoT and sensors can be analysed and represented in real time via city dashboards. In this study, literature research about big data visualization approaches within the smart cities is examined. Dashboard examples with the integration of GIS is examined and an open-source GIS-based dashboard example is designed in Apache Superset. The relationship between air quality and traffic density is demonstrated with different visualization methods.


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