Please use this identifier to cite or link to this item: https://doi.org/10.3390/ijgi9040240
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dc.titleDigital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
dc.contributor.authorShirowzhan, S.
dc.contributor.authorTan, W.
dc.contributor.authorSepasgozar, S.M.E.
dc.date.accessioned2021-08-24T03:01:24Z
dc.date.available2021-08-24T03:01:24Z
dc.date.issued2020
dc.identifier.citationShirowzhan, S., Tan, W., Sepasgozar, S.M.E. (2020). Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities. ISPRS International Journal of Geo-Information 9 (4) : 240. ScholarBank@NUS Repository. https://doi.org/10.3390/ijgi9040240
dc.identifier.issn2220-9964
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/199038
dc.description.abstractSmart technologies are advancing, and smart cities can be made smarter by increasing the connectivity and interactions of humans, the environment, and smart devices. This paper discusses selective technologies that can potentially contribute to developing an intelligent environment and smarter cities. While the connectivity and efficiency of smart cities is important, the analysis of the impact of construction development and large projects in the city is crucial to decision and policy makers, before the project is approved. This raises the question of assessing the impact of a new infrastructure project on the community prior to its commencement-what type of technologies can potentially be used for creating a virtual representation of the city? How can a smart city be improved by utilizing these technologies? There are a wide range of technologies and applications available but understanding their function, interoperability, and compatibility with the community requires more discussion around system designs and architecture. These questions can be the basis of developing an agenda for further investigations. In particular, the need for advanced tools such as mobile scanners, Geospatial Artificial Intelligence, Unmanned Aerial Vehicles, Geospatial Augmented Reality apps, Light Detection, and Ranging in smart cities is discussed. In line with smart city technology development, this Special Issue includes eight accepted articles covering trending topics, which are briefly reviewed. © 2020 by the authors.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2020
dc.subjectArtificial intelligence
dc.subjectBig data
dc.subjectCyberGIS
dc.subjectDigital twin
dc.subjectGIS
dc.subjectInfrastructure construction
dc.subjectLidar
dc.subjectMachine learning
dc.subjectMobile laser scanner
dc.subjectPoint cloud
dc.subjectPoint-based algorithms
dc.subjectSmart city
dc.subjectSmart parking
dc.subjectUrban computing
dc.typeReview
dc.contributor.departmentBUILDING
dc.description.doi10.3390/ijgi9040240
dc.description.sourcetitleISPRS International Journal of Geo-Information
dc.description.volume9
dc.description.issue4
dc.description.page240
dc.published.statePublished
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