Maksims Feofilovs, Francesco Romagnoli, Charlotte Kendra Gotangco, Jairus Carmela Josol, Jean Meir Perez Jardeleza, Joseph Emanuel Litam, Joaquin Ignacio Campos and Katrina Abenojar
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…
Abstract
Purpose
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.
Details
Keywords
Luiza Ribeiro Alves Cunha, Adriana Leiras and Paulo Goncalves
Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds…
Abstract
Purpose
Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.
Design/methodology/approach
To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.
Findings
The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.
Practical implications
As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.
Originality/value
While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.