IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16154-d1284472.html
   My bibliography  Save this article

Adaptive Pathways Using Emerging Technologies: Applications for Critical Transportation Infrastructure

Author

Listed:
  • Nisrine Makhoul

    (École Spéciale des Travaux Publics (ESTP), 94230 Cachan, France)

  • Dimitra V. Achillopoulou

    (James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK)

  • Nikoleta K. Stamataki

    (Department of Civil Engineering, Democritus University of Thrace, 671 00 Xanthi, Greece)

  • Rolands Kromanis

    (Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7522 NB Enschede, The Netherlands)

Abstract

Hazards are becoming more frequent and disturbing the built environment; this issue underpins the emergence of resilience-based engineering. Adaptive pathways (APs) were recently introduced to help flexible and dynamic decision making and adaptive management. Especially under the climate change challenge, APs can account for stressors occurring incrementally or cumulatively and for amplified-hazard scenarios. Continuous records from structural health monitoring (SHM) paired with emerging technologies such as machine learning and artificial intelligence can increase the reliability of measurements and predictions. Thus, emerging technologies can play a crucial role in developing APs through the lifetimes of critical infrastructure. This article contributes to the state of the art by the following four ameliorations. First, the APs are applied to the critical transportation infrastructure (CTI) for the first time. Second, an enhanced and smart AP framework for CTI is proposed; this benefits from the resilience and sustainability of emerging technologies to reduce uncertainties. Third, this innovative framework is assisted by continuous infrastructure performance assessment, which relies on continuous monitoring and mitigation measures that are implemented when needed. Next, it explores the impact of emerging technologies on structural health monitoring (SHM) and their role in enhancing resilience and adaptation by providing updated information. It also demonstrates the flexibility of monitoring systems in evolving conditions and the employment of AI techniques to manage pathways. Finally, the framework is applied to the Hollandse bridge, considering climate-change risks. The study delves into the performance, mitigation measures, and lessons learned during the life cycle of the asset.

Suggested Citation

  • Nisrine Makhoul & Dimitra V. Achillopoulou & Nikoleta K. Stamataki & Rolands Kromanis, 2023. "Adaptive Pathways Using Emerging Technologies: Applications for Critical Transportation Infrastructure," Sustainability, MDPI, vol. 15(23), pages 1-31, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16154-:d:1284472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16154/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/23/16154/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthew J. Colloff & Michael D. Doherty & Sandra Lavorel & Michael Dunlop & Russell M. Wise & Suzanne M. Prober, 2016. "Adaptation services and pathways for the management of temperate montane forests under transformational climate change," Climatic Change, Springer, vol. 138(1), pages 267-282, September.
    2. Hermans, Leon M. & Haasnoot, Marjolijn & ter Maat, Judith & Kwakkel, Jan H., 2017. "Designing monitoring arrangements for collaborative learning about adaptation pathways," Environmental Science & Policy, Elsevier, vol. 69(C), pages 29-38.
    3. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    4. Barone, Giorgio & Frangopol, Dan M., 2014. "Reliability, risk and lifetime distributions as performance indicators for life-cycle maintenance of deteriorating structures," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 21-37.
    5. Amos Omore & Michael Kidoido & Edgar Twine & Lusato Kurwijila & Maureen O’Flynn & Julius Githinji, 2019. "Using “theory of change” to improve agricultural research: recent experience from Tanzania," Development in Practice, Taylor & Francis Journals, vol. 29(7), pages 898-911, October.
    6. Bosomworth, Karyn & Leith, Peat & Harwood, Andrew & Wallis, Phillip J., 2017. "What’s the problem in adaptation pathways planning? The potential of a diagnostic problem-structuring approach," Environmental Science & Policy, Elsevier, vol. 76(C), pages 23-28.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vizinho, André & Avelar, David & Fonseca, Ana Lúcia & Carvalho, Silvia & Sucena-Paiva, Leonor & Pinho, Pedro & Nunes, Alice & Branquinho, Cristina & Vasconcelos, Ana Cátia & Santos, Filipe Duarte & Ro, 2021. "Framing the application of Adaptation Pathways for agroforestry in Mediterranean drylands," Land Use Policy, Elsevier, vol. 104(C).
    2. Yang, David Y. & Frangopol, Dan M., 2019. "Life-cycle management of deteriorating civil infrastructure considering resilience to lifetime hazards: A general approach based on renewal-reward processes," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 197-212.
    3. H. Klammler & P. S. C. Rao & K. Hatfield, 2018. "Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes," Environment Systems and Decisions, Springer, vol. 38(1), pages 140-159, March.
    4. Meshal Aldawsari & Mahmoud M. El-Halwagi, 2025. "Resilience Assessment and Sustainability Enhancement of Gas and CO 2 Utilization via Carbon–Hydrogen–Oxygen Symbiosis Networks," Sustainability, MDPI, vol. 17(19), pages 1-22, September.
    5. Yusuke Toyoda, 2021. "Survey paper: achievements and perspectives of community resilience approaches to societal systems," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 705-756, October.
    6. Vishwanath, B Sharanbaswa & Banerjee, Swagata, 2023. "Considering uncertainty in corrosion process to estimate life-cycle seismic vulnerability and risk of aging bridge piers," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    7. Jesse M. Keenan, 2018. "Regional resilience trust funds: an exploratory analysis for leveraging insurance surcharges," Environment Systems and Decisions, Springer, vol. 38(1), pages 118-139, March.
    8. Hugo Herrera & Birgit Kopainsky, 2020. "Using system dynamics to support a participatory assessment of resilience," Environment Systems and Decisions, Springer, vol. 40(3), pages 342-355, September.
    9. Doostparast, Mohammad & Kolahan, Farhad & Doostparast, Mahdi, 2014. "A reliability-based approach to optimize preventive maintenance scheduling for coherent systems," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 98-106.
    10. Yifan Yang & S. Thomas Ng & Frank J. Xu & Martin Skitmore & Shenghua Zhou, 2019. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    11. MacKenzie, Cameron A. & Hu, Chao, 2019. "Decision making under uncertainty for design of resilient engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    12. Jannie Coenen & Rob van der Heijden & Allard C. R. van Riel, 2019. "Making a Transition toward more Mature Closed-Loop Supply Chain Management under Deep Uncertainty and Dynamic Complexity: A Methodology," Sustainability, MDPI, vol. 11(8), pages 1-27, April.
    13. Corinne Curt & Jean‐Marc Tacnet, 2018. "Resilience of Critical Infrastructures: Review and Analysis of Current Approaches," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2441-2458, November.
    14. Cheng, Minghui & Frangopol, Dan M., 2022. "Life-cycle optimization of structural systems based on cumulative prospect theory: Effects of the reference point and risk attitudes," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    15. Liu, Xing & Ferrario, Elisa & Zio, Enrico, 2019. "Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 423-434.
    16. Ryan, Paraic C. & Stewart, Mark G. & Spencer, Nathan & Li, Yue, 2014. "Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 261-273.
    17. Mottahedi, Adel & Sereshki, Farhang & Ataei, Mohammad & Qarahasanlou, Ali Nouri & Barabadi, Abbas, 2021. "Resilience estimation of critical infrastructure systems: Application of expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    18. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    19. Bismut, Elizabeth & Straub, Daniel, 2021. "Optimal adaptive inspection and maintenance planning for deteriorating structural systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    20. Liu, Xing & Fang, Yi-Ping & Zio, Enrico, 2021. "A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16154-:d:1284472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.