Big Data and Smart Cities

Dear Colleagues,

Smart cities need to manage resources safely, sustainably, and efficiently to achieve better socioeconomic outcomes. However, the connectivity between citizens, systems, and things in the cities creates tremendous complexities when it comes to decision-making. The massive sociotechnical data from various recourses in cities can be a valuable asset to face the challenges in the operation and planning of smart cities. However, the urban data volume, heterogeneity, and spatiotemporal characteristics create difficulties in data management, fusion, analysis, and inference. Above all, a city is a conglomerate of multiple networks, such as electricity, transportation, information, water, gas, etc., which have different requirements for data handling, privacy, and analytics.

The recent advents in data mining, data archiving, machine learning, statistical inference, information theory, visualization, and computing create a new paradigm for the data-driven management of smart cities. Moreover, different levels of municipal, local, and regional government structures make interoperability and coordination a hassle for smart cities’ integrated management systems. To face the organizational challenges in smart cities, the data analysis methods need to be evolved and more attention is needed from experts in industry and academia to fill the gap.

The main goal of this Special Issue is to bring together scholars, researchers, scientists, engineers, and administrators on a common platform to develop, design, and publish new ideas and concepts to improve the field of big data and internet of things (IoT) in smart cities. The relevant topics include, but are not limited to the following:

• Sensor networks and data mining for smart city applications;
• Data analysis and machine learning for smart city applications;
• Decision support systems for smart city applications;
• Urban infrastructure networks operation and planning;
• Urban mobility modeling and analysis in the smart city paradigm;
• Electricity and roadway networks integration in the smart city paradigm;
• Interoperability between different systems and domains in the city;
• Interdependencies of energy systems and information technology in cities.

Prof. Dr. Reza Arghandeh
Assoc. Prof. Eren Erman Ozguven
Guest Editors

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