Digital Twin Cities: Data Availability and Systematic Data Collection
Publication: Construction Research Congress 2022
ABSTRACT
Recent studies have shown potential benefits of digital twin cities for smart urban management. However, a major challenge for full-scale implementation of this concept is data availability. A comprehensive digital twin model that represents urban systems, their functionality, and interdependencies requires a wide range of data. However, little is known about systematic approaches for large-scale urban data collection. This study aims to address these gaps in knowledge in two steps to provide a more accurate depiction of available data. First, we conduct a synthesis study using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify current data collection methods in smart cities from technical articles. Second, we review publicly available databases to identify the types of available data that potentially can be used for digital twin cities models. This study identified and classified various types of available data including datasets related to infrastructure, healthcare, education, government, and environment.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Albeaino, G., Gheisari, M., and Franz, B. W. (2019). A systematic review of unmanned aerial vehicle application areas and technologies in the AEC domain. ITcon, 24, 381–405.
Austin, M., Delgoshaei, P., Coelho, M., and Heidarinejad, M. (2020). Architecting smart city digital twins: combined semantic model and machine learning approach. Journal of Management in Engineering, 36(4), 04020026.
Berglund, E. Z., Monroe, J. G., Ahmed, I., Noghabaei, M., Do, J., Pesantez, J. E., Khaksar Fasaee, M. A., Bardaka, E., Han, K., Proestos, G. T., and Levis, J. (2020). Smart infrastructure: A vision for the role of the civil engineering profession in smart cities. Journal of Infrastructure Systems, 26(2), 03120001.
Chen, Y., and Han, D. (2018). Water quality monitoring in smart city: A pilot project. Automation in Construction, 89, 307–316.
City of New York. (2017). Open Data for All New Yorkers. NYC Open Data. https://opendata.cityofnewyork.us/.
Fan, C., Jiang, Y., and Mostafavi, A. (2020). Social sensing in disaster city digital twin: Integrated textual–visual–geo framework for situational awareness during built environment disruptions. Journal of Management in Engineering, 36(3), 04020002.
Heshmati, A., and Rashidghalam, M. (2020). Measurement and analysis of urban infrastructure and its effects on urbanization in China. Journal of Infrastructure Systems, 26(1), 04019030.
Hsu, D. (2014). Improving energy benchmarking with self-reported data. Building Research & Information, 42(5), 641–656.
Kishore, K. N., and Rekha, J. (2018). A bioclimatic approach to develop spatial zoning maps for comfort, passive heating and cooling strategies within a composite zone of India. Building and Environment, 128, 190–215.
Konis, K., Blessenohl, S., Kedia, N., and Rahane, V. (2020). TrojanSense, a participatory sensing framework for occupant-aware management of thermal comfort in campus buildings. Building and Environment, 169, 106588.
Li, Y., García-Castro, R., Mihindukulasooriya, N., O’Donnell, J., and Vega-Sánchez, S. (2019). Enhancing energy management at district and building levels via an EM-KPI ontology. Automation in Construction, 99, 152–167.
Ruiz, L. G. B., Pegalajar, M. C., Molina-Solana, M., and Guo, Y. K. (2020). A case study on understanding energy consumption through prediction and visualization (VIMOEN). Journal of Building Engineering, 30, 101315.
Zhao, D., Thakur, N., and Chen, J. (2020). Optimal design of energy storage system to buffer charging infrastructure in smart cities. Journal of Management in Engineering, 36(2), 04019048.
Information & Authors
Information
Published In
Construction Research Congress 2022
Pages: 437 - 444
History
Published online: Mar 7, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.