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Ali, R A, Mannakkara, S and Wilkinson, S (2020) Factors affecting successful transition between post-disaster recovery phases: a case study of 2010 floods in Sindh, Pakistan. International Journal of Disaster Resilience in the Built Environment, 11(05), 597–614.

Feofilovs, M, Romagnoli, F, Gotangco, C K, Josol, J C, Jardeleza, J M P, Litam, J E, Campos, J I and Abenojar, K (2020) Assessing resilience against floods with a system dynamics approach: a comparative study of two models. International Journal of Disaster Resilience in the Built Environment, 11(05), 615–29.

  • Type: Journal Article
  • Keywords: System Dynamics; Knowledge sharing; Modelling; Natural disasters; Urban resilience; Flooding;
  • ISBN/ISSN: 1759-5908
  • URL: https://doi.org/10.1108/IJDRBE-02-2020-0013
  • Abstract:
    This paper aims to present the concepts of two different ways of generating a dynamic structure of the urban system to further allow in understanding specific urban behavior facing against flood and further evaluate the potential effect of specific resilience strategies aiming to decrease the exposure and vulnerability of the system. Design/methodology/approach Two system dynamics model structures are presented in form of Casual Loop Diagrams. Findings The main differences among the tow approaches are the time horizon and the approach that regulates the assessment of the resilience through a dynamic composite indicator: the first model refers to baseline at initial simulation time; the second model is focused on the ratio service supply to demand. Research limitations/implications Within the approach, the purpose is to properly and efficiently evaluate the effect of different Flood Risk Management strategies, i.e. prevention, defence, mitigation, preparation and recovery for consistent and resilient flood governance plans with different type of resilience scenarios. Originality/value The need for such tool is underlined by a lack on the assessment of urban resilience to flood as whole, considering the physical and social dimensions and the complex interaction among their main components. There are several assessment tools based on an indicator approach that have been proposed to meet this need. Nevertheless, indicator-based approach has the limitation to exclude the complexity of the system and its systemic interaction in terms of feedbacks’ effects among the identified components or variables selected for the system description. This peculiarity can be provided by System Dynamics modeling.

Harisuthan, S, Hasalanka, H, Kularatne, D and Siriwardana, C (2020) Applicability of the PTVA-4 model to evaluate the structural vulnerability of hospitals in Sri Lanka against tsunami. International Journal of Disaster Resilience in the Built Environment, 11(05), 581–96.

Huong, H T L and Dzung, L H (2020) Criteria for flood warning levels in Vietnam. International Journal of Disaster Resilience in the Built Environment, 11(05), 645–58.

Shahin, M, Billah, M, Islam, M M, Parvez, A and Zaman, A M (2020) Cyclone shelters need sustainable development. International Journal of Disaster Resilience in the Built Environment, 11(05), 659–78.

Tasantab, J C, Gajendran, T, von Meding, J and Maund, K (2020) Perceptions and deeply held beliefs about responsibility for flood risk adaptation in Accra Ghana. International Journal of Disaster Resilience in the Built Environment, 11(05), 631–44.