Smart City Community Engagement Through Learning

Author(s):  
Ilpo Laitinen ◽  
Roberta Piazza
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.


2021 ◽  
Vol 69 (12) ◽  
pp. 1106-1115
Author(s):  
Martin Bauer ◽  
Flavio Cirillo ◽  
Jonathan Fürst ◽  
Gürkan Solmaz ◽  
Ernö Kovacs

Abstract This article describes the use of digital twins for smart cities, i. e., the Urban Digital Twin (UDTw) concept. It shows how UDTws can be realized using the open source components from the FIWARE ecosystem that are already used in more than 200 cities worldwide. The used NGSI-LD standard is supported by the European Connecting Europe Facility, the Open and Agile Smart City community, the Indian Urban Data Exchange platform, and the Japanese Smart City Reference Model. Unlike digital twins in other domains, e. g., manufacturing, where digital twins are co-developed with their physical counterparts, UDTws often evolve driven by different stakeholders, on different time scales, as well as by utilizing many different data sources from the city. This article builds on a well-established lifecycle model for Digital Twins and combines this with a conceptual model for digital twins consisting of data, reactive, predictive and forecasting (“what if”) digital twin functionalities. The article also describes how AI-based technologies can be used to extract knowledge to build the UDTws from the IoT-based infrastructure of a smart city.


In this era of globalization that is happening right now, making developments in Information Technology that offers solutions to problems that occur in people’s lives are important to improve available public services in the area. The development of Information Technology also gives innovation for government to improve existing public services and facilities. This report will discuss about application used by government in various regions in Indonesia in developing Smart City program that was initiated in 2014. Social Media is one of the ways and tools for community in Indonesia to give their aspiration, critic and response which aims for the improvement of government services and the development of Smart City so that they can meet the needs of the Community in their own regions. With this, responses from government is needed in accordance with the priority level of complaints given by the community through social media for the government to follow up their aspirations and complaints about the development of the Smart City.


Author(s):  
Alaeldin Suliman ◽  
Jeff H Rankin ◽  
Anna Robak

As a response to the population and urban growth challenges, the concept of smart city/community (SC) has been introduced as a strategic solution to the traditional city-related problems. This research seeks to identify the key smartness dimensions of a city, build a corresponding novel smartness concept, and develop a full assessment model. The contribution of this research includes identifying three key dimensions for SCs: Connectivity (C), Sustainability (S), and Resiliency (R); and developing a corresponding SC maturity-based assessment model (MM) referred to as CSR-MM. The model applicability is validated through examining its conformance to the MM design principles and practically demonstrated via a case study (Fredericton Public Transit, NB) with an outcome comparison against an international SC assessment tool (ISO37120:2018). The research significance is by providing CSR-MM that is intended to help municipalities to identify maturity gaps, set prioritized goals, and focus on continuously improving citizens’ well-being.


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.


Author(s):  
PVL Narayana Rao ◽  
◽  
Pothireddy Siva Abhilash ◽  
P. Siva Pavan Kumar ◽  
◽  
...  

2021 ◽  
pp. 1-17
Author(s):  
Adyasha Rath ◽  
Srikanta Patnaik ◽  
Ganapati Panda

The density of population in cities is growing at a faster rate to make the life of people in cities comfortable and save. The city needs to be smart. It can be mainly achieved by intelligent decision making process using computational intelligence based systems. Keeping this in view, many researchers and organizations are working to develop and implement computational intelligence decision support systems. To obtain a comprehensive overview on the current status on SI based smart city community the present investigation has been made. To achieve this objective recently published standard articles on this important sub area have been collected and reviewed. The summary of the review has been presented in systematic manner to facilitate the researchers who are currently working in the area of smart city community. The important findings of the review have been made and presented. The important performance measures in various aspects of smart city obtained by the computational intelligence methods have been listed. It is expected that the findings and the contribution of the paper will benefit the researchers, the related government and private organizations in terms of furthering their research efforts and producing different smart products pertaining to community development and improvement of comfort level of the dwellers of the smart city.


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