Data-driven Analytics in the Developments of a Smart City
Smart cities define an emerging paradigm containing heterogeneous network infrastructure, ubiquitous sensor devices, big data processing, and intelligent control systems. Their primary purpose is to improve the quality of life of the citizens by providing intelligent services in a wide variety of aspects like transportation, environment, energy, etc. Big data analytics and operations research play an important role in enabling and delivering such intelligent services. Therefore, understanding how to use big data analytics and optimization for the operation and management of a smart city from different aspects, such as the allocation of power stations for electric taxis, charging batteries for car sharing, renewable power storage facilities for metros, and the charge/discharge management for all power storage facilities has aroused widespread concern in both academia and practice.
Solving smart city issues can be costly and complicated and requires us to develop novel research approaches based on empirical data to provide more appropriate solutions to build smart city plans. The purpose of this special issue is to publish insights and viewpoints from scholars regarding solutions to smart city issues and challenges from different aspects, including the resource allocation and optimization of power stations, the location and capacity for shared car parking space, transportation strategy, and operation management of car sharing.
Some topics of interest may include but are not limited to:
- Rigorous case studies on using data analytics for smart city development issues
- Data analytics for improving smart city operations efficiency
- Data analytics for car sharing demand prediction
- Data analytics for transportation security
- The impact of smart cities on social welfare
- The application of data analytics to predict traffic congestion
- Using smart city visibility data for resource allocation
- Security-driven supply chain innovation
- The charge and discharge management of energy storage facilities such as subway capacitors, shared car batteries, and electric taxi batteries
Submission and review process
Please prepare the manuscript according to the journal’s “Guide for Authors and submission guidelines”. Please clearly state in the cover letter that the submission is made for this special issue. The review process will follow the journal’s double-blind practice. More information on the author guidelines can be found here.
Prospective authors should submit an electronic copy of their complete manuscript via ScholarOne by selecting the article type “Data-Driven Analytics in the Development of a Smart City” in the online submission system here.
Submissions Open: September 21, 2021
Manuscript Submission Deadline: January 11, 2022
Final Decision Date: September 7, 2022
Expected Publication (Tentative): Autumn of 2022
Prof. Yue Guo
Southern University of Science and Technology, China
Prof. Lean Yu
University of Chinese Academy of Sciences, China
Prof. Leandro C. Coelho
Université Laval, Canada
Prof. Yichuan Ding
McGill University, Canada