IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p8931-d435677.html
   My bibliography  Save this article

Assessing Urban Resilience in Complex and Dynamic Systems: The RESCCUE Project Approach in Lisbon Research Site

Author

Listed:
  • João Barreiro

    (CERIS, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal)

  • Ruth Lopes

    (HIDRA, Hidráulica e Ambiente Lda., Av. Defensores de Chaves, n. 31–1º Esq., 1000-111 Lisboa, Portugal)

  • Filipa Ferreira

    (CERIS, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisboa, Portugal)

  • Rita Brito

    (National Civil Engineering Laboratory, LNEC, Av. Brasil 101, 1700-066 Lisboa, Portugal)

  • Maria João Telhado

    (Lisbon City Council, Câmara Municipal de Lisboa, CML, Praça José Queirós, n. 1–3º piso–Fração 5, 1800-237 Lisboa, Portugal)

  • José Saldanha Matos

    (HIDRA, Hidráulica e Ambiente Lda., Av. Defensores de Chaves, n. 31–1º Esq., 1000-111 Lisboa, Portugal)

  • Rafaela Saldanha Matos

    (National Civil Engineering Laboratory, LNEC, Av. Brasil 101, 1700-066 Lisboa, Portugal)

Abstract

Urban environments are challenged with unprecedented anthropogenic and natural pressures, the latter being accelerated by the growing awareness of the consequences of climate change. The concept of urban resilience has been growing in response, since it allows us to understand city behaviour as a system of systems, improving its response to extreme climate-related events. This paper presents the EU H2020 Resilience to Cope with Climate Change in Urban Areas (RESCCUE) project approach in Lisbon’s research site, regarding the Hazur ® resilience assessment methodology. This methodology focuses on the interdependencies between services and infrastructures, and on the recovery times needed to restore its normal functionalities. This approach allows the integration of several work packages of the RESCCUE project, from climate change projections to adaptation strategies selection. The assessment was conducted for 19 services and 146 infrastructures, including water (supply and drainage systems), power, mobility, waste, telecommunication, environment, and the social sector. The principal climate-related hazard analysed at the Lisbon research site was urban flooding. The main result consists of a deep understanding of the relations between different services and the consequent cascade effects triggered by flooding events. Stakeholders’ involvement, beyond the project consortium, was fundamental for the success of the methodology implementation.

Suggested Citation

  • João Barreiro & Ruth Lopes & Filipa Ferreira & Rita Brito & Maria João Telhado & José Saldanha Matos & Rafaela Saldanha Matos, 2020. "Assessing Urban Resilience in Complex and Dynamic Systems: The RESCCUE Project Approach in Lisbon Research Site," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8931-:d:435677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/8931/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/8931/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria do Céu Almeida & Maria João Telhado & Marco Morais & João Barreiro & Ruth Lopes, 2020. "Urban Resilience to Flooding: Triangulation of Methods for Hazard Identification in Urban Areas," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    2. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington Y., 2019. "Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 62-79.
    3. Maria Adriana Cardoso & Rita Salgado Brito & Cristina Pereira & Andoni Gonzalez & John Stevens & Maria João Telhado, 2020. "RAF Resilience Assessment Framework—A Tool to Support Cities’ Action Planning," Sustainability, MDPI, vol. 12(6), pages 1-64, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hyundong Nam & Taewoo Nam, 2021. "Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.
    3. Naveen Prashar & Harshit Sosan Lakra & Harsimran Kaur & Rajib shaw, 2024. "Urban flood resilience: mapping knowledge, trends and structure through bibliometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 8235-8265, April.

    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. Marc Velasco & Beniamino Russo & Robert Monjo & César Paradinas & Slobodan Djordjević & Barry Evans & Eduardo Martínez-Gomariz & Maria Guerrero-Hidalga & Maria Adriana Cardoso & Rita Salgado Brito & D, 2020. "Increased Urban Resilience to Climate Change—Key Outputs from the RESCCUE Project," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
    2. Maria Adriana Cardoso & Maria João Telhado & Maria do Céu Almeida & Rita Salgado Brito & Cristina Pereira & João Barreiro & Marco Morais, 2020. "Following a Step by Step Development of a Resilience Action Plan," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
    3. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    4. He, Xinyu & Li, Lishuai & Mo, Yanfang & Sun, Zhankun & Qin, S. Joe, 2025. "Air Corridor Planning for Urban Drone Delivery: Complexity Analysis and Comparison via Multi-Commodity Network Flow and Graph Search," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    5. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. Libera Amenta & Lei Qu, 2020. "Experimenting with Circularity When Designing Contemporary Regions: Adaptation Strategies for More Resilient and Regenerative Metropolitan Areas of Amsterdam and Naples Developed in University Studio ," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
    7. Yanni Xiong & Changyou Li & Mengzhi Zou & Qian Xu, 2022. "Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    8. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    9. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    10. Schuster, Hannah & Polleres, Axel & Wachs, Johannes, 2024. "Stress-testing road networks and access to medical care," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    11. Xu, Peng-Cheng & Lu, Qing-Chang & Xie, Chi & Cheong, Taesu, 2024. "Modeling the resilience of interdependent networks: The role of function dependency in metro and bus systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    12. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    13. Shen, Yi & Yang, Huang & Ren, Gang & Ran, Bin, 2024. "Model cascading overload failure and dynamic vulnerability analysis of facility network of metro station," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    14. Tang, Junqing & Xu, Lei & Luo, Chunling & Ng, Tsan Sheng Adam, 2021. "Multi-disruption resilience assessment of rail transit systems with optimized commuter flows," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    15. Ma, Wenxin & Lin, Shichao & Ci, Yusheng & Li, Ruimin, 2024. "Resilience evaluation and improvement of post-disaster multimodal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 189(C).
    16. Fatemeh Asghari & Farzad Piadeh & Daniel Egyir & Hossein Yousefi & Joseph P. Rizzuto & Luiza C. Campos & Kourosh Behzadian, 2023. "Resilience Assessment in Urban Water Infrastructure: A Critical Review of Approaches, Strategies and Applications," Sustainability, MDPI, vol. 15(14), pages 1-24, July.
    17. Liudan Jiao & Yinghan Zhu & Xiaosen Huo & Ya Wu & Yu Zhang, 2023. "Resilience assessment of metro stations against rainstorm disaster based on cloud model: a case study in Chongqing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2311-2337, March.
    18. Zhang, Li & Chen, Tingting & Liu, Zhongshan & Yu, Bin & Wang, Yunpeng, 2024. "Analysis of multi-modal public transportation system performance under metro disruptions: A dynamic resilience assessment framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    19. Ilalokhoin, Ohis & Pant, Raghav & Hall, Jim W., 2023. "A model and methodology for resilience assessment of interdependent rail networks – Case study of Great Britain's rail network," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    20. Zhang, Kaimin & Bai, Libiao & Xie, Xiaoyan & Wang, Chenshuo, 2023. "Modeling of risk cascading propagation in project portfolio network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).

    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:12:y:2020:i:21:p:8931-:d:435677. 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.