Smart City Gnosys

Smart city article details

Title	Performing Smart Cities Research Based On Existing Datasets: A Methodology Framework
ID_Doc	41865
Authors	Porras E.M.; Lievens B.; Heyman R.; Ballon P.
Year	2019
Published	5th IEEE International Smart Cities Conference, ISC2 2019
DOI	http://dx.doi.org/10.1109/ISC246665.2019.9071772
Abstract	Our understanding of how a city works is changing as more and more activities and interactions of citizens with and within the city are being tracked. It is estimated that by 2020, 1.7MB of data will be created every second for each person [1]. These data are created by different actors, including businesses that collect information to fuel their services. Cities can enrich the understanding of their citizen dynamics and improve data-driven decision-making using these data. However, cities do not have the resources or skills (yet) to handle and analyze this new type of information. In this paper, we propose a methodology for cities to map and identify different sources of existing data, in order to give them a new meaning in the urban planning context. Also, we present our empirical experience with the methodology in solving issues at the city management level. Results show that cities can not only gather new insights by exploring existing datasets from businesses but also give them a new purpose to support and evaluate decision-making on the urban space and its development. © 2019 IEEE.
Author Keywords	data reusability; data-analytics; data-driven policy making; smart city

Similar Articles

Id	Similarity	Authors	Title	Published
50152	0.907	Sarker I.H.	Smart City Data Science: Towards Data-Driven Smart Cities With Open Research Issues	Internet of Things (Netherlands), 19 (2022)
49568	0.906	Aishwarya R.I.; Asimithaa K.; Eunice J.	Smart Cities For The Future: A Data Science Approach	Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025)
12015	0.903	Singh Rathore S.P.; Vishnubhai Dalabhai C.; Babubhai Patel C.K.; Sharma R.; Mathur A.; Yadav A.	Big Data Analytics For Smart Cities	Proceedings - IEEE 2024 1st International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024 (2024)
17193	0.902	Bokolo A.J.	Data Driven Approaches For Smart City Planning And Design: A Case Scenario On Urban Data Management	Digital Policy, Regulation and Governance , 25, 4 (2023)
49798	0.902	Gracias, JS; Parnell, GS; Specking, E; Pohl, EA; Buchanan, R	Smart Cities-A Structured Literature Review	SMART CITIES, 6, 4 (2023)
17398	0.899	Radziszewska A.	Data-Driven Approach In Knowledge-Based Smart City Management	Proceedings of the European Conference on Knowledge Management, ECKM, 2 (2023)
17747	0.898	Batty M.	Deconstructing Smart Cities	Technologies for Urban and Spatial Planning: Virtual Cities and Territories (2013)
17738	0.898	Hodson E.; Sayún M.N.; Vainio T.	Decoding The Smart City	ACM International Conference Proceeding Series (2020)
12101	0.896	Yadav S.; Mohapatra G.	Big Data In The Context Of Smart Cities: Exploring Urban Planning And Governance	Studies in Big Data, 38 (2018)
59499	0.894	Poltie B.M.; Udoh E.S.; Luna-Reyes L.F.	Understanding Smart City Projects And Priorities Across Large, Medium And Small Cities In The United States	ACM International Conference Proceeding Series (2020)