IET Smart Cities 2020 : Geospatial Sensing, Mining & Analytics for Smart Cities

Geospatial data is central to the challenges and opportunities for smart city research. Geospatial data is derived from a broad array of sensing technologies and devices, including satellites, UAV-mounted cameras, distributed sensor networks for air quality monitoring, and GPS-enabled devices equipped in vehicles and smartphones. This data presents great opportunities for researchers to enable smart city applications and to advance geospatial research.

Smart Cities are innovative users of data and infrastructures, improving cities functionality, efficiency, competitiveness, and sustainability. Smart Cities encourage the involvement of all its citizens in the city’s governance and innovation processes. Hence, geospatial data is at the heart of smart cities. Geospatial data can help to measure, understand, and predict the flows and movements of citizens, and the efficiency of infrastructure. These can be used for more accurate prediction of future demands, better planning, and decision-making. Data quality issues, challenges to do with high volume real-time data streaming, scalability of data analysis and learning techniques introduce interesting challenges.

This special issue invites original research papers on the latest advances in geospatial data and smart cities, such as scalable geospatial data mining techniques or GeoAI for smart cities, with applications to transportation, energy use, health, citizens’ engagement, and city planning