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Mapping building functionality and community relationships through a dynamic model, informing post-event building operations

Danial Mohabat Doost, Mamak Pourabdollahtootkaboni

Mapping building functionality and community relationships through a dynamic model, informing post-event building operations.

Rel. Gian Paolo Cimellaro, P. Gordon Warn. Politecnico di Torino, Corso di laurea magistrale in Architettura Per Il Progetto Sostenibile, 2017

Abstract:

INTRODUCTION

Sometimes resilience is considered as one of the indicators of sustainability. Some other recent studies suggested that resilience could put an end to sustainability, as a way of development for future cities. However, the correlation between these two is more complicated. It is possible to have sustainable cities -which can reduce resource and energy consumption, optimize waste management and be economically efficient- but not necessarily operative in the case of shocks and major turbulences, so that they are not resilient. Such cities are not truly sustainable. It is also possible to have resilient cities that are not sustainable according to energy consumption, social equity, economic efficiency, and so on. They are not even resilient, but rather resistant, as they resist the hazardous situations. As an example, on September 2004, more than one century of deforestation and soil erosion provoked landslide and flood in Gonaives (a commune in northern Haiti). Absence of a mitigation plan left the homeless people hungry and worsened the situation. In the city, people were living on roofs, as their homes have become uninhabitable. This catastrophic event showed how an unsustainable way of development might increase the vulnerability of communities. The first purpose of this study is to clarify the correspondence of sustainability and resilience in order to demonstrate the importance of considering both concepts simultaneously. In addition, it is important to assess and evaluate any project from both points of view to have a sustainable and resilient community. Rating and Evaluation determine where we are on the road to sustainability and resilience, and identify new opportunities and assessment methods to the organizational practices.

In sustainability, different credit weighting tools are adopted by the most popular rating systems around the world. Most of them are developed for the assessment of buildings as nationally and globally, buildings contribute significantly to energy consumption, as well as to other environmental impacts, such as air emissions and solid waste generation. For example, 38% of US primary energy consumption is related to building operations and 65% of all 1997 Municipal Solid Wastes. In this case, green procurement in construction section plays a key role in sustainable development. Leadership in Energy and Environmental Design (LEED) is an example of green building certification programs used worldwide. LEED (Leadership in Energy & Environmental Design) which developed by USGBC (US green building council), attempts to wed elements of two primary methods of communicating environmental attributes that relate to buildings, Eco-labeling and Life Cycle Assessment (LCA). The LEED rating system is not the first green building program. However, it is the only program with national scope and the only one that has been adopted by many private organizations (Herman Miller, Ford Motor Co., Natural Resources Defense Council) as well as local (Portland OR, Seattle WA, San Jose CA) federal (GSA, Department of State) ,and government bodies in U.S. One of the critical issues in developing a rating system for assessment is the distribution of points and weights across the different areas and indicators. LEED is a credit-based system. The last version of LEED contains 110 credit points, which are divided among 7 impact areas: Sustainable Sites (SS), Water Efficiency (WE), Energy and Atmosphere (EA), Materials and Resources (MR), Indoor Environmental Quality (IEQ), Location and transportation, Innovation in design and regional priority (ID).

In resilience, the vagueness of the concept makes it difficult to define, but it becomes even more problematic when trying to measure it. Measuring community resilience is still in the primary stages of development. There are different quantities for evaluating the level of resilience of a system including loss and downtime.

Downtime -as the time necessary to restore a system's functionality- is the critical parameter of the recovery process after an abrupt event. The importance of the concept, leads us to review and postulate factors affecting downtime with a particular focus on those external to the building. Relevant literature on loss and downtime estimation are reviewed, from which a list of external factors affecting downtime is developed and categorized. This quantity is usually underestimated to the repair time, while the recovery process also includes the "recovery initiation delay". This study focuses on downtime estimation and tries to use a dynamic model to estimate the time needed to start the building repair after the hazard occurrence. Among several factors affecting downtime, those external to the building play a key role in determining this duration. Such factors are strongly dependent on community relationships. External factors - including transportation access, building inspection, utility disruption, financing, etc. - from Loma Prieta and Chile 2010 earthquakes are compiled and analyzed in order to investigate the relative effect of community dependent factors on building recovery initiation delay. A sensitivity analysis is done, as different factors do not have the same influence on recovery path.

In addition, a general building functionality curve is presented to illustrate how community services and external factors affect recovery/downtime. This general recovery curve serves as an initial attempt to better understand the phases of recovery affected by various factors. Preliminary definitions related to functionality are reviewed and ideas are posed related to the relationship of these factors to the design of resilient-sustainable buildings.

Relatori: Gian Paolo Cimellaro, P. Gordon Warn
Tipo di pubblicazione: A stampa
Soggetti: A Architettura > AO Progettazione
A Architettura > AQ Spazi funzionali dell'abitazione
Corso di laurea: Corso di laurea magistrale in Architettura Per Il Progetto Sostenibile
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-04 - ARCHITETTURA E INGEGNERIA EDILE-ARCHITETTURA
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/5898
Capitoli:

INDEXES

1.Chapter I: Overview

1.1.Introduction

1.2.Clarifying the critical concepts -such as resilience, resistance and sustainability- and analyzing the correlation between them

2.Chapter II: Downtime and External Factors

2.1.What is downtime?

2.2.Literature review on downtime modeling focusing on the community

relationships

2.3.Synthesis of factors affecting downtime

3.Chapter III: External Factors Effect on Recovery Phases

3.1.Definitions: functionality, capacity, downtime and vulnerability

3.2.Parameterizing the functionality-time curve and analyzing the effect of external factors on each recovery phase

3.3.Examples of external factors affecting building recovery and downtime

3.3.1.Building Occupancy Resumption Program (BORP)

3.3.2.San Francisco Bay Area Planning and Urban Research Association (SPUR)

4.Chapter IV: Methodology

4.1 .Motivations and a brief explanation about the proposed model

4.2.CPM (critical path method)

4.3.PERT (Program Evaluation Review Technique)

4.3.1.Probability distribution of the project completion time

5.Chapter V: Case Studies

5.1.Brief explanation about case studies

5.2.Loma Prieta earthquake

5.2.1.Transportation

5.2.2.Building Inspection

5.2.3.Obtaining Permits

5.2.4.Utilities

5.2.5.Financing

5.2.6.Result analysis

5.3.Chile 2010 earthquake

5.3.1.Transportation

5.3.2.Building inspection

5.3.3.Demand estimation

5.3.4.Financing

5.3.5.Mobilization of contractor, workforce and ordering/receiving materials

5.3.6.Engineering mobilization and redesigning

5.3.7.Utilities

5.3.8.Result analysis

6.Chapter VI:

6.1.Conclusions

7.List of Figures

8.List of Tables

9.References

Bibliografia:

BIBLIOGRAPHY

Kaufman, F., 2009. The end of sustainability. International Journal of Sustainable Society, 1 (4), pp.383-390.

Cutter, S.L., 2014. The Landscape of Resilience Measures. Presentation at the Resilient America 561 Roundtable Workshop on Measures of Community Resilience.

Brundtland, G., Khalid, M., Agnelli, S., Al-Athel, S., Chidzero, B., Fadika, L., Hauff, V., Lang, I., Shijun, M., de Botero, M.M. and Singh, M., 1987. Our common future (Ybrundtland reportV).

Barnes, J., Waters M.A., and Clark S., 2008. The stewardship of Nature Also falls to the working class, in Defense of Land and Labor,New International Magazine N.14.

Radloff, K., 2006. Community resilience, community economic development, and Saskatchewan economic developers. Report: Community-University Institute for Social Research.

Bloomberg, M., 2013. A stronger, more resilient New York. City of New York, PlaNYC Report.

Poveda, C.A. and Lipsett, M.G., 2011. A review of sustainability assessment and sustainability/environmental rating systems and credit weighting tools. Journal of Sustainable Development, 4(6), p.36.

Scheuer, C.W. and Keoleian, G.A., 2002. Evaluation of LEED using life cycle assessment methods. NIST GCR, pp.02-836.

Owens, B., Macken, C., Rohloff, A. and Rosenberg, H., 2014. LEED V4 Impact Category and Point Allocation Development Process.

Wilson A., 2015. LEED Pilot Credits on Resilient Design Adopted, Retrieved from http://www.resilientdesign.org/leed-pilot-credits-on-resilient-design-adopted/

Winderl T., 2015. "Disaster resilience measurements: stocktaking of ongoing efforts in developing systems for measuring resilience." UNDP http:// www. preventionweb. net/ files/ 37916_ disasterresilien cemeasurementsun dpt. pdf. Accessed 25.

Ostadtaghizadeh, A., Ardalan, A., Paton, D., Jabbari, H. and Khankeh, H.R., 2015. Community disaster resilience: a systematic review on assessment models and tools. PLoS currents, 7.

Irajifar, L., Alizadeh, T. and Sipe,N., 2013. Disaster resiliency measurement frameworks: State of the art. In S. Kajewski, K. Manley, & K. Hampson. Presented at the World Building Congress, Brisbane, Australia.

Mileti, D., 1999. Disasters by design: A reassessment of natural hazards in the United States. Joseph Henry Press.

Burby, R.J., Deyle, R.E., Godschalk, D.R. and Olshansky, R.B., 2000. Creating hazard resilient communities through land-use planning. Natural hazards review, 1(2), pp.99-106.

Center, H., 2002. Human links to coastal disasters. The H. John Heinz III Center for.

Vale, L.J. and Campanella, T.J., 2005. The resilient city: How modern cities recover from disaster. Oxford University Press.

Ronan, K. and Johnston, D., 2005. Promoting community resilience in disasters: The role for schools, youth, and families. Springer Science & Business Media.

Berke, P.R. and Campanella, T.J., 2006. Planning for postdisaster resiliency. The Annals of the American Academy of Political and Social Science, 604(1), pp. 192-207.

Godschalk, D.R., 2003. Urban hazard mitigation: creating resilient cities. Natural hazards review, 4(3), pp.136-143.

Godschalk, D.R., 2007. Mitigation. Emergency management: Principles and practice for local government, pp.89-112.

Murphy, B.L., 2007. Locating social capital in resilient community-level emergency management. Natural Hazards, 41(2), pp.297-315.

Sylves, R., 2007. Budgeting for local emergency management and homeland security. Emergency management: principles and practice for local government. International City Manager Association, Washington.

Norris, F.H., Stevens, S.P., Pfefferbaum, B., Wyche, K.F. and Pfefferbaum, R.L., 2008. Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American journal of community psychology, 41(1-2), pp.127-150.

Morrow, B.H., 2008. Community resilience: A social justice perspective (Vol. 4). Oak Ridge, TN: CARRI Research Report.

Colten, C.E., Kates, R.W. and Laska, S.B., 2008. Community resilience: Lessons from new Orleans and hurricane katrina. Community and Regional Resilience Initiative, Oak Ridge.

Tierney, K., 2009. Disaster response: Research findings and their implications for resilience measures (Vol. 6). CARRI Research Report.

Renschler, C.S., Frazier, A., Arendt, L., Cimellaro, G.P., Reinhom, A.M. and Bruneau, M., 2010. A framework for defining and measuring resilience at the community scale: The PEOPLES resilience framework. US Department of Commerce National Institute of Standards and Technology, Office of Applied Economics Engineering Laboratory NIST GCR, pp. 10-930.

Cutter, S.L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E. and Webb, J., 2008. A place- based model for understanding community resilience to natural disasters. Global environmental change, 18(4), pp.598-606.

Burton, C.G., 2015. A validation of metrics for community resilience to natural hazards and disasters using the recovery from Hurricane Katrina as a case study. Annals of the Association of American Geographers, 105(1), pp.67-86.

Cimellaro, G.P., 2016. Urban resilience for emergency response and recovery: fundamental concepts and applications (Vol. 41). Springer.

Weichselgartner, J. and Kelman, I., 2014. Geographies of resilience Challenges and opportunities of a descriptive concept. Progress in Human Geography, p.0309132513518834.

Becker, D., Schneiderbauer, S., Forrester, J.M. and Pedoth, L., 2015. Guidelines for development of indicators, indicator systems and provide challenges.

FEMA, H., 2003. Multi-hazard loss estimation methodology, earthquake model. Washington, DC, USA: Federal Emergency Management Agency.

Birkmann, J., Chang Seng, D., Abeling, T., Huq, N., Wolfertz, J., Karanci, N., ikizer, G., Kuhlicke, C., Pelling, M., Forrester, J. and Fordham, M., 2012. Systematization of different concepts, quality criteria, and indicators. emBRACE project.

Adger, W.N., 2000. Social and ecological resilience: are they related?. Progress in human geography, 24(3), pp.347-364.

Hallegatte, S., 2014. Economic Resilience: definition and measurement. Browser Download This Paper.

Gunderson, L.H., 2000. Ecological resilience-in theory and application. Annual review of ecology and systematics, 31(1), pp.425-439.

Krawinkler, H. and Miranda, E., 2004. Performance-based earthquake engineering. In Earthquake engineering: from engineering seismology to performance-based engineering. CRC Press.

Czarnecki, R.M., 1973. Earthquake damage to tall buildings. MIT Department of Civil Engineering.

Buriks, C., Bohn, W., Kennett, M., Scola, L. and Srdanovic, B., 2004. Using HAZUS-MH for risk assessment: how-to guide. Federal Emergency Management Agency, Washington, DC.

Guide, H.T., 2001. 2: Understanding Your Risks-Identifying Hazards and Estimating Loss Potential.

Comerio, M.C., 2006. Estimating downtime in loss modeling. Earthquake Spectra, 22(2), pp.349-365.

Almufti, I. and Willford, M.R., 2013. Resilience-based earthquake design (REDi) rating system, version 1.0. Arup.

Burton, H.V., Deierlein, G., Lallemant, D. and Lin, T., 2015. Framework for incorporating probabilistic building performance in the assessment of community seismic resilience. Journal of Structural Engineering, 142(8), p.C4015007.

Mitrani-Reiser, J., 2007. An ounce of prevention: probabilistic loss estimation for performance- based earthquake engineering (Doctoral dissertation, California Institute of Technology).

Ghorawat, S., 2011. Rapid loss modeling of death and downtime caused by earthquake induced damage to structures (Doctoral dissertation, Texas A&M University).

Terzic, V., Mahin, S. and Comerio, M., 2014. Comparative life-cycle cost and performance analysis of structural systems for buildings. In Tenth US National Conference on Earthquake Engineering.

Devaux, S.A., 1999. Total project control: A manager's guide to integrated project planning, measuring, and tracking. New York, NY: Wiley.

Guide, A., 2001. Project Management Body of Knowledge (PMBOK® GUIDE). In Project Management Institute.

CTI Reviews, 2016. Successful Project Management: Business, Management, Cram 101 Textbook Reviews, available from https://books.google.it/books?id=BJ0Rn0m2wugC, [Accessed 20th December 2016]

RiskAMP, 2005. the beta-PERT Distribution, Available at: https://www.riskamp.com/beta- pert [Accessed 21 Dec. 2016].

Rice, J., 1995. Mathematical Statistics and Data Analysis (Second ed.), Duxbury Press, ISBN 0-534-20934-3.

Larson, R., and Farber, E., 2004. Elementary Statistics: Picturing the World, p. 214, ISBN 7-302-09723-2.

Federal Emergency Management Agency, 1990. State and Federal Hazard Mitisation Survey Team Report for the October 17, 1989 Loma Prieta Earthquake, California, Prepared by the State/Federal Hazard Mitigation Survey Team. Washington, D. C.: Report FEMA- 845-DR-CA.

Tierney, K.J., 1991. Emergency medical care aspects of the Loma Prieta earthquake.

Webber, M.W., 1992. Redundancy: the lesson from the Loma Prieta earthquake (No. qt8px9r9jx). University of California Transportation Center.

San Francisco planning & urban research association, 2010. After the disaster: rebuilding our transportation infrastructure spur report.

Benuska, L., 1990. Loma Prieta earthquake reconnaissance report. Earthquake Engineering Research Institute.

Yashinsky, M., 1998. The Loma Prieta, California, Earthquake of October 17, 1989-Highway Systems.

Giacomini, M.C. and Witt, K.H., 1998. GOLDEN GATE BRIDGE EARTHQUAKE RESPONSE AND DAMAGE ASSESSMENT. In International Bridge, Tunnel and Turnpike Association Annual Meeting and Exhibition.

Tubbesing, S.K. and Mileti, D.S., 1994. The Loma Prieta, California, earthquake of october 17, 1989-Loss estimation and procedures. In The Loma Prieta, California, earthquake of october 17, 1989-Loss estimation and procedures. United States Government Printing Office.

Martin, J.L., 2013. Hydro-environmental analysis: freshwater environments. CRC Press.

California Seismic Safety Commission, 1991. Loma Prieta's Call to Action: Report on the Loma Prieta Earthquake of 1989. California Seismic Safety Commission.

Tierney, K.J., 1994. Practical Lessons from the Loma Prieta Earthquake. Emergency Preparedness and Response, pp. 105-128.

American Red Cross Multi-Disciplinary Team, 2011. Report on the 2010 Chilean earthquake and tsunami response: U.S. Geological Survey Open-File Report 2011-1053, v. 1.1, 68 [http://pubs.usgs.gov/of/201 1/1053/].emergency operations plan.

Ministry of Housing and Urban Development (MINVU), 2011. RECONSTRUCTION PLAN. Government of Chile. Available at: http://WWW.MINVU.CL [Accessed 22 Dec. 2016].

Comerio, M.C., 2013. Housing recovery in Chile: A qualitative mid-program review. Pacific Earthquake Engineering Research Center Headquarters at the University of California.

Risk Management Solutions , Inc . (RMS), 2011. The 2010 Maule, Chile Earthquake: Lessons and Future Challenges. Available at: http://forms2.rms.com/rs/729-DJX-565/images/eq_2010_chile_eq.pdf [Accessed 22 Dec. 2016].

Anbazhagan, P., Srinivas, S. and Chandran, D., 2012. Classification of road damage due to earthquakes. Natural hazards, 60(2), pp.425-460.

De la Llera, J.C., Rivera, F., Jiinemann, R., Mitrani-Reiser, J., Fortuno, C., Hube, M., Santa Maria, H., Rios, M., Lagos, R., Guendelman, T. and Candia, G., 2014. POSTEARTHQUAKE DATA COLLECTION: THE 2010 MAULE EARTHQUAKE IN CHILE.

Medina, F., Yanev, P.I., Yanev, A.P., 2010. The magnitude 8.8 offshore Maule region Chile earthquake of February 27, 2010 : preliminary summary of damage and enginering recommendations. Washington, DC: World Bank. Available at: http://documents.worldbank.org/curated/en/750511468217448787/Chile-The-magnitude-8-8-offshore-Maule-region-Chile-earthquake-of-February-27-2010-preliminary-summary-of-damage-and-enginering-recommendations

Platt, S., 2012. Reconstruction in Chile post 2010 earthquake. Re Build: Cambridge University and CAR.

Comerio, M.C., 2014. Housing recovery lessons from Chile. Journal of the American Planning Association, 80(4), pp.340-350.

Araneda, J.C., Rudnick, H., Mocarquer, S. and Miquel, P., 2010, October. Lessons from the 2010 Chilean earthquake and its impact on electricity supply. In Power System Technology (POWERCON), 2010 International Conference on (pp. 1-7). IEEE.

Siembieda, W., Johnson, L. and Franco, G., 2012. Rebuild fast but rebuild better: Chile's initial recovery following the 27 February 2010 earthquake and tsunami. Earthquake Spectra, 28(S1), pp.S621-S641.

Anderies, J. M., 2014. "Embedding built environments in social-ecological systems: resilience-based design principles." Building Research & Information 42:2, 130-142, DOI: 10.1080/09613218.2013.857455

Building occupancy resumption program (borp). N.p.: salt lake city corporation building services emergency operations plan, mar. 2014.

Cimellaro, G.P., 2016. Downtime and Recovery Models. In Urban Resilience for Emergency Response and Recovery (pp. 93-108). Springer International Publishing.

Cimellaro, G.P., Fumo, C., Reinhorn, A.M. and Bruneau, M., 2009. Quantification of disaster resilience of health care facilities. Multidisciplinary Center for Earthquake Engineering Research, MCEER-09-0009.

Clark, K.M., 2002. The use of computer modeling in estimating and managing future catastrophe losses. The Geneva Papers on Risk and Insurance. Issues and Practice, 27(2), pp.181-195.

Boin, A., Comfort, L.K. and Demchak, C.C., 2010. The rise of resilience. Designing resilience: Preparing for extreme events, pp. 1-12.

Comerio, M.C., 2006. Estimating downtime in loss modeling. Earthquake Spectra, 22(2), pp.349-365.

Comerio, M.C. and Blecher, H.E., 2010. Estimating downtime from data on residential buildings after the Northridge and Loma Prieta Earthquakes. Earthquake Spectra, 26(4), pp.951-965.

Force, S.S.I.P.T., 2012. Safe Enough to Stay.

Hassler, U. & Kohler, N., 2014. "Resilience in the built environment" Building Research & Information, 42:2, 119-129, DOI: 10.1080/09613218.2014.873593

Huang, Y., 2012. Building Damage, Death and Downtime Risk Attenuation in Earthquakes (Doctoral dissertation, Texas A&M University).

Iulo, L.D., Haskar, R.R. and Blumsack, S., 2011. "Design Strategies for Community-scale Renewable Energy Solutions." Architecture and Sustainable Development, Proceedings of PLEA 2011, Louvain-la-Neuve, Belgium; (627-638).

Longstaff, P. H., 2010. "Building Resilient Communities A Preliminary Framework for Assessment". Homeland Security Affairs (September), v.6 no.3

McAllister, T., 2013. Developing guidelines and standards for disaster resilience of the built environment: A research needs assessment. US Department of Commerce, National Institute of Standards and Technology.

Mitrani-Reiser, J., 2007. An ounce of prevention: probabilistic loss estimation for performance- based earthquake engineering (Doctoral dissertation, California Institute of Technology).

Gaiddon, B., Kaan, H. and Munro, D. eds., 2009. Photovoltaics in the Urban Environment: Lessons learnt from large scale projects. Routledge.

Porter, K.A., Scawthorn, C.R. and Beck, J.L., 2006. Cost-effectiveness of stronger woodframe buildings. Earthquake Spectra, 22(1), pp.239-266.

Scawthorn, C. and Chen, W.F. eds., 2002. Earthquake engineering handbook. CRC press.

Vale, L.J., 2014. The politics of resilient cities: whose resilience and whose city?. Building Research & Information, 42(2), pp. 191-201.

Vale, L.J., Shamsuddin, S., Gray, A. and Bertumen, K., 2014. What Affordable Housing Should Afford: Housing for Resilient Cities. Cityscape, 16(2), p.21.

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