scholarly journals Computationally Networked Urbanism and Sensor-based Big Data Applications in Integrated Smart City Planning and Management

2020 ◽  
Vol 12 (2) ◽  
pp. 37
2019 ◽  
Vol 44 (3) ◽  
pp. 80-83
Author(s):  
Mingliang Feng

To improve the quality of life, human-oriented smart city planning and management based on time-space behavior was studied. First, the basic theory of time-space behavior and smart city was introduced. The relationship between public participation and smart city construction planning was analyzed, and the positive and negative significance of public participation in smart city construction planning was expounded. Then, the mechanism for public participation in smart city construction planning was proposed. Finally, public participation in smart city construction planning was analyzed from the perspectives of power balance, interest coordination and safeguard measures. The results showed that public participation in smart city construction planning was an important manifestation of the realization of public democratic rights. The scientific nature and feasibility of smart city construction planning was enhanced. The smooth implementation of smart city construction planning was an important foundation for promoting smart city construction. Therefore, public participation is an important way to safeguard social public interests and build a harmonious society.


Author(s):  
Sonali Vyas ◽  
Deepshikha Bhargava

With the rapid advancement of technology, everything is transforming into smarter versions. The term smart city means a technologically strengthened and advanced version of the city. Smart cities utilize digital information and techniques for improving services like performance, quality, etc. Big data technology and methods are utilized for handling the vast volume, high velocity and wide variety of data related to cities. This chapter discusses the big data utilization for making smart cities and also throws light on various applications where efficient analysis of services can be carried out using Big Data techniques. The main objective of this chapter will be to provide knowledge of big data implementation for the smart city and its services. This chapter will also investigate various prospects, benefits, and challenges of absorbing big data utilization for smart cities. It will also discuss some case studies related to big data applications for smart city services. It will also propose some open issues related to big data implementation for the smart city.


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