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Cited by 185Smart Cities and TechnologiesConstruction Management and SustainabilityInfrastructure Maintenance and Monitoring

The DOI matches its Crossref record; 310 of the 310 references it cites were found in a registry or an index.

Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities

Berglund, Emily Zechman, Monroe, Jacob G., Ahmed, Ishtiak, Noghabaei, Mojtaba, Do, Jinung, Pesantez, Jorge E., Khaksar Fasaee, Mohammad Ali, Bardaka, Eleni, Han, Kevin, Proestos, Giorgio T., Levis, James·2020·Journal of Infrastructure Systems
DOI 10.1061/(asce)is.1943-555x.0000549
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Abstract

Smart city programs provide a range of technologies that can be applied to solve infrastructure problems associated with ageing infrastructure and increasing demands. The potential for infrastructure and urban improvement remains unrealized, however, due to technical, financial, and social constraints and criticisms that limit the implementation of smart cities concepts for infrastructure management. The discussion presented here provides a review of smart technologies including sensors, crowdsourcing and citizen science, actuators, data transmission, Internet of Things, big data analytics, data visualization, and blockchain, which can be used for infrastructure management. Smart infrastructure programs are reviewed to explore how enabling technologies have been applied across civil engineering domains, including transportation systems, water systems, air quality, energy infrastructure, solid waste management, construction engineering and management, structures, and geotechnical systems. Gaps in the application of smart technologies for infrastructure systems are identified, and we highlight how the civil engineering profession can adopt new roles toward the development of smart cities applications. These roles are: (1) master designer: civil engineers can identify ready applications of enabling technologies to improve the delivery of urban resources and services; (2) steward: civil engineers must account for both the environmental and societal impacts of smart infrastructure applications; (3) innovator and integrator: civil engineers should integrate across diverse sectors and groups of experts to develop smart infrastructure programs; (4) manager of risk: civil engineers should manage existing and growing risks of natural disasters, emergencies, and climate change; they should also manage new vulnerabilities in the privacy and security of individuals and households that are introduced through smart technologies; and (5) leader and decision maker: civil engineers can take a lead in smart infrastructure discussions and policy development.

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Crossref · 10.1061/(asce)is.1943-555x.0000549

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Citations

Cites

Show all 310 references

Research works printed but not linked: 23

  1. AASHTO, 2017, LRFD bridge design specifications and commentary
  2. Allen D., 2009, Sustainable materials management: The road ahead
  3. APA (American Planning Association), 2015, Smart cities and sustainability initiative
  4. ASCE, 1997, Air-supported structures. ASCE 17-96
  5. ASCE, 2017, 2017 infrastructure report card: A comprehensive assessment of America’s infrastructure
  6. ASCE, 2019, Future world vision: Infrastructure reimagined
  7. Broek D., 1971, Concepts in fail-safe design of aircraft structures. DMIC Memo No. 252
  8. Castiglione J., 2015, Activity-based travel demand models: A primer. Second Strategic Research Program
  9. Covington M. and R. Carskadden. 2013. “Threat implications of the Internet of Things.” In Proc. 5th Int. Conf. on Cyber Conflict edited by K. K. Podins J. Stinissen and M. M. Maybaum. Tallinn Estonia: IEEE.
  10. Federal Aviation Administration, 2005, Fatigue, fail-safe, and damage tolerance evaluation of metallic structure for normal, utility, acrobatic, and commuter category airplanes. Advisory Circular AC 23-13a
  11. Hendrycks D. K. Zhao S. Basart J. Steinhardt and D. Song. 2019. “Natural adversarial examples.” Accessed October 22 2019. https://arxiv.org/pdf/1907.07174.pdf. · arXiv
  12. ITS International, 2018, Congestion pricing—No such thing as a free ride
  13. Kechavarzi C., 2016, Distributed optical fibre sensing for monitoring geotechnical infrastructures—A practical guide
  14. Lata K., 2016, IoT-based smart waste management system using wireless sensor network and embedded Linux board, Int. J. Curr. Trends Eng. Res., 2, 210
  15. Lehne J., 2018, Chatham House report: Making concrete change—Innovation in low-carbon cement and concrete
  16. Lyles R. W. W. C. Taylor D. Lavansiri and J. Grossklaus. 2004. “A field test and evaluation of variable speed limits in work zones.” In Proc. 86th Annual Meeting of the Transportation Research Board. Washington DC: Transportation Research Board.
  17. Malanga S. 2018. “The promise and peril of “smart” cities.” Accessed October 22 2019. https://www.city-journal.org/promise-and-peril-smart-cities-16035.html.
  18. Mohr J.-P., 2017, Immersive data visualization for smart cities: Bringing data to life for better governance (White Paper)
  19. National Transportation Safety Board, 2017, Reducing speeding-related crashes involving passenger vehicles safety study
  20. Palmeri J., 2010, A life cycle approach to prioritizing methods of preventing waste from the residential construction sector in the state of Oregon, Phase 2 report
  21. Statista, 2017, U.S. construction industry—Statistics and facts
  22. USEPA, 2017, Quality assurance handbook for air pollution measurement systems
  23. Zvagelsky R. 2019. “Compology’s contamination score provides path to sustainable efficient recycling collection.” Accessed March 30 2020. https://compology.com/press/compologys-contamination-score-provides-path-to-sustainable-efficient-recycling-collection/.

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Metadata

Authors
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., & Levis, J.
Affiliations
  • North Carolina State University (US)
  • Research Assistant, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27695.
Corresponding author
Berglund, Emily Zechman
ORCID
Venue
Journal of Infrastructure Systems
Publisher
American Society of Civil Engineers (ASCE)
Published
2020-06
Volume
26
Issue
2
ISSN
  • 1076-0342 (ISSN-L)
  • 1943-555X
DOI
10.1061/(asce)is.1943-555x.0000549
OpenAlex
W3015498887
Cited by
185
References
310
Citations by year
2026: 10 · 2025: 53 · 2024: 44 · 2023: 20 · 2022: 33 · 2021: 19 · 2020: 6
FWCI
10.03
Type
journal article
Language
en
Open access
closed
Locations
Journal of Infrastructure Systems (publishedVersion)
Topics
  • Social Sciences › Urban Studies › Smart Cities and Technologies
  • Physical Sciences › Engineering › Building and Construction › Construction Management and Sustainability
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
smart cities, smart infrastructure, civil engineering profession, infrastructure management, Internet of Things, big data analytics, blockchain, sensors, crowdsourcing, citizen science, data visualization, transport systems, water systems, air quality, energy infrastructure, solid waste management, construction engineering, structural engineering, geotechnical systems, aging infrastructure, risk management, privacy and security, professional roles

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