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Risk Reduction Strategies against Terrorist Acts in Urban Built Environments: Towards Sustainable and Human-Centred Challenges

Author

Listed:
  • Enrico Quagliarini

    (DICEA Deptartment, Università Politecnica delle Marche, 60131 Ancona, Italy)

  • Fabio Fatiguso

    (Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, 70125 Bari, Italy)

  • Michele Lucesoli

    (DICEA Deptartment, Università Politecnica delle Marche, 60131 Ancona, Italy)

  • Gabriele Bernardini

    (DICEA Deptartment, Università Politecnica delle Marche, 60131 Ancona, Italy)

  • Elena Cantatore

    (Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, 70125 Bari, Italy)

Abstract

Terrorist impacts have been increasing over time in many countries, being one of the most significant threats for the Built Environment (BE), intended as a network of open spaces (streets, squares) and facing buildings, and their users. Such risk is affected by a combination of strategic functions and crowd conditions. This work traces, for the first time, the state-of-the-art consolidated Risk Mitigation and Reduction Strategies (RMRSs). Solid RMRS regulatory frameworks from all over the world are collected. The results show how classification criteria distinguish them by attack targets and typologies, effectiveness over time/space, and physical implementation versus management-based deployment. Nevertheless, these criteria seem to be too fragmented, failing in pursuing RMRSs selection in a holistic outlook. Thus, a new classification adopting the BE composing elements (physical elements, layout, access/surveillance systems, safety/security management) as key-factors is provided. Features, dependencies and coordination among them are discussed in a sustainability-based perspective, by showing how the main challenges for RMRSs’ design concern applicability, redundancy, and users’ emergency support. Safety/security management strategies have the overall highest sustainability level and play a pivotal role with respect to the other BE composing elements, which should be planned in reference to them. In addition, a human-centred approach (individuals’ interactions with BEs and RMRSs) will also be needed. These results will support efforts to include simulation-oriented approaches into RMRSs selection, effectiveness and feasibility analyses.

Suggested Citation

  • Enrico Quagliarini & Fabio Fatiguso & Michele Lucesoli & Gabriele Bernardini & Elena Cantatore, 2021. "Risk Reduction Strategies against Terrorist Acts in Urban Built Environments: Towards Sustainable and Human-Centred Challenges," Sustainability, MDPI, vol. 13(2), pages 1-29, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:901-:d:481966
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    References listed on IDEAS

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    1. Wang, Jia & Ni, Shunjiang & Shen, Shifei & Li, Shuying, 2019. "Empirical study of crowd dynamic in public gathering places during a terrorist attack event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1-9.
    2. Liu, Qian, 2018. "A social force model for the crowd evacuation in a terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 315-330.
    3. David Koren & Katarina Rus, 2019. "The Potential of Open Space for Enhancing Urban Seismic Resilience: A literature Review," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    4. Şahin, Coşkun & Rokne, Jon & Alhajj, Reda, 2019. "Human behavior modeling for simulating evacuation of buildings during emergencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    5. Gordon, Theodore J. & Sharan, Yair & Florescu, Elizabeth, 2017. "Potential measures for the pre-detection of terrorism," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 1-16.
    6. Chao Wang & Jian Wang, 2017. "Risk-Field Based Modeling for Pedestrian Emergency Evacuation Combined with Alternative Route Strategy," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-10, April.
    7. Alessandra Cozzolino, 2012. "Humanitarian Logistics," SpringerBriefs in Business, Springer, edition 127, number 978-3-642-30186-5, October.
    8. Ruiz Estrada, Mario Arturo & Koutronas, Evangelos, 2016. "Terrorist attack assessment: Paris November 2015 and Brussels March 2016," Journal of Policy Modeling, Elsevier, vol. 38(3), pages 553-571.
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