fig congress 2018 - Management of big geographic data for smart city applications
Arif Cagdas Aydinoglu, Rabia Bovkir
It is supposed that more than the half of the world's population live in urban areas today and it is estimated that this number will reach 80% by 2050. Significant problems such as traffic, transportation, air and environmental pollution, emergency response, immovable management etc. arise as a result of this intensity in urban population. For the solution of these problems “smart city” concept has emerged with the purpose of providing better service to the citizens by using all urban resources in an efficient and sustainable manner. In this paper, firstly the smart city concept is explained with all the requirements and application domains. Then the concept of spatially enabled big data and its importance for smart cities are emphasized. Secondly, initiatives to management and applications of big geographic data for smart cities will be introduced and explained. In order to use large volume of geographic data coming from different sources, big data technologies for enabling better processing and management for smart city applications will be analyzed. Big data solutions such as Hadoop ecosystem, database structures such as NoSQL and NewSQL and data analytics will be defined. Finally a general overview is given for the big geographic data solutions in smart city concept with example applications. In this study, it is aimed to give a literature review of the smart city and big data concepts to help the public authorities for determining the right investment plan for successful smart city implementation with high efficiency.
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