Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities

10.3390/ijgi9040240

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Bibliographic Details
Main Authors:	Shirowzhan, S., Tan, W., Sepasgozar, S.M.E.
Other Authors:	DEPT OF BUILDING
Format:	Review
Published:	MDPI AG 2021
Subjects:	Artificial intelligence Big data CyberGIS Digital twin GIS Infrastructure construction Lidar Machine learning Mobile laser scanner Point cloud Point-based algorithms Smart city Smart parking Urban computing
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/199038
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-199038
record_format	dspace
spelling	sg-nus-scholar.10635-1990382023-10-31T22:01:40Z Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities Shirowzhan, S. Tan, W. Sepasgozar, S.M.E. DEPT OF BUILDING Artificial intelligence Big data CyberGIS Digital twin GIS Infrastructure construction Lidar Machine learning Mobile laser scanner Point cloud Point-based algorithms Smart city Smart parking Urban computing 10.3390/ijgi9040240 ISPRS International Journal of Geo-Information 9 4 240 2021-08-24T03:01:24Z 2021-08-24T03:01:24Z 2020 Review Shirowzhan, 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 2220-9964 https://scholarbank.nus.edu.sg/handle/10635/199038 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Artificial intelligence Big data CyberGIS Digital twin GIS Infrastructure construction Lidar Machine learning Mobile laser scanner Point cloud Point-based algorithms Smart city Smart parking Urban computing
spellingShingle	Artificial intelligence Big data CyberGIS Digital twin GIS Infrastructure construction Lidar Machine learning Mobile laser scanner Point cloud Point-based algorithms Smart city Smart parking Urban computing Shirowzhan, S. Tan, W. Sepasgozar, S.M.E. Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
description	10.3390/ijgi9040240
author2	DEPT OF BUILDING
author_facet	DEPT OF BUILDING Shirowzhan, S. Tan, W. Sepasgozar, S.M.E.
format	Review
author	Shirowzhan, S. Tan, W. Sepasgozar, S.M.E.
author_sort	Shirowzhan, S.
title	Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
title_short	Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
title_full	Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
title_fullStr	Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
title_full_unstemmed	Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
title_sort	digital twin and cybergis for improving connectivity and measuring the impact of infrastructure construction planning in smart cities
publisher	MDPI AG
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/199038
_version_	1781792772436525056

Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities

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