Smart City Gnosys

Smart city article details

Title Geospatial Big Data Analytics For Sustainable Smart Cities
ID_Doc 27971
Authors Mete M.O.
Year 2023
Published International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48, 4/W7-2023
DOI http://dx.doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-141-2023
Abstract Growing urbanization cause environmental problems such as vast amount of carbon emissions and pollution all over the world. Smart Infrastructure and Smart Environment are two significant components of the smart city paradigm that can create opportunities for ensuring energy conservation, preventing ecological degradation, and using renewable energy sources. Since a great portion of the data contains location information, geospatial intelligence is a key technology for sustainable smart cities. We need a holistic framework for the smart governance of cities by utilizing key technological drivers such as big data, Geographic Information Systems (GIS), cloud computing, Internet of Things (IoT). Geospatial Big Data applications offer predictive data science tools such as grid computing and parallel computing for efficient and fast processing to build a sustainable smart city ecosystem. Effective management of big data in storage, visualization, analytics, and analysis stages can foster green building, green energy, and net zero targets of countries. Parallel computing systems have the ability to scale up analysis on geospatial big data platforms which is key for ocean, atmosphere, land, and climate applications. In this study, it is aimed to create the necessary technical infrastructure for smart city applications with a holistic big data management approach. Thus, a smart city model framework is developed for Smart Environment and Smart Governance components and performance comparison of Dask-GeoPandas and Apache Sedona parallel processing systems are carried out. Apache Sedona performed better on the performance test during read, write, join and clustering operations. © 2023 International Society for Photogrammetry and Remote Sensing. All rights reserved.
Author Keywords Big Data; Geospatial; Green Energy; Parallel Computing; Smart City; Smart Environment; Smart Infrastructure


Similar Articles


Id Similarity Authors Title Published
27973 View0.95Gacha Y.; Rhaiem M.A.B.; Abdellatif T.Geospatial Big Data For A Sustainable And Green Smart CityProceedings - 2023 International Conference on Cyberworlds, CW 2023 (2023)
28684 View0.899Weng Q.; Yoo C.Handbook Of Geospatial Approaches To Sustainable CitiesHandbook of Geospatial Approaches to Sustainable Cities (2024)
11997 View0.897Bibri S.E.Big Data Analytics And Context-Aware Computing: Core Enabling Technologies, Techniques, Processes, And SystemsUrban Book Series (2018)
55978 View0.895Bibri S.E.The Iot And Big Data Analytics For Smart Sustainable Cities: Enabling Technologies And Practical ApplicationsAdvances in Science, Technology and Innovation (2020)
11996 View0.894Bibri S.E.Big Data Analytics And Context-Aware Computing: Characteristics, Commonalities, Differences, Applications, And ChallengesUrban Book Series (2018)
39935 View0.894Bibri S.E.On The Sustainability Of Smart And Smarter Cities In The Era Of Big Data: An Interdisciplinary And Transdisciplinary Literature ReviewJournal of Big Data, 6, 1 (2019)
6068 View0.894Costa D.G.; Bittencourt J.C.N.; Oliveira F.; Peixoto J.P.J.; Jesus T.C.Achieving Sustainable Smart Cities Through Geospatial Data-Driven ApproachesSustainability (Switzerland), 16, 2 (2024)
56007 View0.893Bibri S.E.The Leading Smart Sustainable Paradigm Of Urbanism And Big Data Computing: A Topical Literature ReviewAdvances in Science, Technology and Innovation (2019)
12015 View0.892Singh Rathore S.P.; Vishnubhai Dalabhai C.; Babubhai Patel C.K.; Sharma R.; Mathur A.; Yadav A.Big Data Analytics For Smart CitiesProceedings - IEEE 2024 1st International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024 (2024)
39934 View0.892Bibri S.E.On The Sustainability And Unsustainability Of Smart And Smarter Urbanism And Related Big Data Technology, Analytics, And ApplicationAdvances in Science, Technology and Innovation (2019)