Big Data-Driven Intelligent Services in Smart Cities

Dear Colleagues,

Smart Cities initiatives have become a focal point of research and development activities for many fields, including information technology, urban planning, economics, geography, and transportation. While headway has been made in physical and virtual space infrastructure and big data analytics associated with information and sensing, significant challenges are still ahead with regards to turning all the informatics into real-time data-driven services for the human at the center, which is the purpose of the Smart City. What would “smart” and “intelligent” mean to the residents of Smart Cities and how could they benefit, significantly, from living in these cities of tomorrow?

As ubiquitous sensing and big data analytics cut across various fields, knowledge can be distilled to understand daily activities and anticipate needs at collective and individual levels. Based on what we have learned from real-time and location-specific multisource data, citizens can be served responsively and proactively to address their needs in work, school, health care, recreation, mobility, personal security, entertainment, etc. Responsiveness at this level will require major breakthroughs in data intelligence theory, behavior sensing methodology, human service framework, and so on.

We welcome papers for this Special Issue that present the work and results from cross-cutting research. The work should involve fields including, but not limited to, information technology, planning, logistics, geography, and transportation. The content and scope of the issue will be on innovating and emerging technologies that center on humans and human needs. We expect that the papers selected for this Special Issue will provide valuable and meaningful contributions toward establishing a smart services framework in theory and methodology.

Prof. Zhixiang Fang
Prof. Lee D. Han
Guest Editors

Manuscript Submission Information

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