@article{209af5194c464579b89c4da5a7233814,
title = "Quantifying resilience to flooding among households and local government units using system dynamics: a case study in Metro Manila",
abstract = "A generic systems dynamics (SD) model template for resilience is adapted to analyse flooding impacts on household assets and local government assets of Pasig City, Metro Manila. SD simulations are used to quantify the loss of system performance due to adverse impacts, and the recovery of the system due to response measures. The simulation results reflect the decreasing levels of resilience among low-income households, and the reliance of local government on budgeting cycles to replenish assets. The initial model needs to be expanded to include other determinants of resilience, but this exploratory study reflects the potential usefulness of SD simulations as a decision support tool for city policy makers. By quantifying changes in resilience measures over time, simulations can complement qualitative analyses and test policy and programme scenarios.",
keywords = "Flooding, households, local government, Metro Manila, resilience, system dynamics",
author = "Gotangco, {C. K.} and J. See and Dalupang, {J. P.} and M. Ortiz and E. Porio and G. Narisma and A. Yulo-Loyzaga and J. Dator-Bercilla",
note = "Funding Information: This study is being implemented under the project {\textquoteleft}Coastal Cities at Risk (CCaR): Building Adaptive Capacity for Managing Climate Change in Coastal Megacities{\textquoteright}, under the International Research Initiative on Adaptation to Climate Change. This work is being carried out with the aid of a grant from the International Development Research Centre (IDRC), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Social Sciences and Humanities Research Council of Canada (SSHRC), Ottawa, Canada. The Household Model component of this study was conducted as part of the thesis: See, J. G. (2014). Assessing Social Vulnerability to Flooding in Metro Manila Using Statistical Analyses and System Dynamics Modeling (Master's thesis). Ateneo de Manila University, Quezon City, Philippines. This component of the thesis used data from (1) the 2008 Survey of the Three Flood Basins in Metro Manila supported by the Japan International Cooperation Agency and (2) the 2011 Socio-economic Survey of Pasig and Marikina supported by the Asia Pacific Network (APN) and the CCaR project (see Porio Porio, for more details). Much appreciation for their assistance is extended to the officials of the Pasig City local government, especially Mayor Maribel A. Eusebio, Disaster Risk Reduction and Management Office (DRRMO) Head Ritche Van C. Angeles, the City Environmental and Natural Resources Office (CENRO) Head Raquel Austria-Naciongayo. Thank you also to Dr. Celine Vicente, Flordeliza del Castillo and Raul Dayawon of the Center for Environmental Geomatics (Geomatics for Environment and Development programme) of the Manila Observatory for their assistance with the shapefiles for the maps. Thank you to Dr. Slobodan Simonovic and Angela Peck for the system dynamics training workshop and for providing the generic model template. Thank you also to the coordinators of the 6th International Conference on Flood Management (ICFM6) for selecting this paper for the special issue on ICFM6. Thank you to the external reviewers for their helpful comments. Publisher Copyright: {\textcopyright} 2015 The Chartered Institution of Water and Environmental Management (CIWEM) and John Wiley & Sons Ltd",
year = "2016",
month = sep,
day = "1",
doi = "10.1111/jfr3.12222",
language = "English",
volume = "9",
pages = "196--207",
journal = "Journal of Flood Risk Management",
issn = "1753-318X",
publisher = "Wiley-Blackwell",
number = "3",
}