Assessing the Adaptive Re-Use Potential of Buildings as Part of the Disaster Management Process
The technological paradigm of the disaster
management field, especially in the case of governmental
intervention strategies, is generally based on rapid and flexible
accommodation solutions. From various technical solution patterns
used to address the immediate housing needs of disaster victims, the
adaptive re-use of existing buildings can be considered to be both
low-cost and practical. However, there is a scarcity of analytical
methods to screen, select and adapt buildings to help decision makers
in cases of emergency. Following an extensive literature review, this
paper aims to highlight key points and problem areas associated with
the adaptive re-use of buildings within the disaster management
context. In other disciplines such as real estate management, the
adaptive re-use potential (ARP) of existing buildings is typically
based on the prioritization of a set of technical and non-technical
criteria which are then weighted to arrive at an economically viable
investment decision. After a disaster, however, the assessment of the
ARP of buildings requires consideration of different/additional layers
of analysis which stem from general disaster management principles
and the peculiarities of different types of disasters, as well as of their
victims. In this paper, a discussion of the development of an adaptive
re-use potential (ARP) assessment model is presented. It is thought
that governmental and non-governmental decision makers who are
required to take quick decisions to accommodate displaced masses
following disasters are likely to benefit from the implementation of
such a model.
[1] IFRC, International Federation of Red Cross and Red Crescent Societies.
What is a disaster? Retrieved from: http://www.ifrc.org/en/what-wedo/
disaster-management/about-disasters/what-is-a-disaster/
[2] Y. Tan, L. Shen&C. Langston (2015). A Quantitative Approach for
Identifying Adaptive Reuse Option for Industrial Buildings. Proceedings
of the 19th International Symposium on Advancement of Construction
Management and Real Estate, 2015, pp. 495-505. Available from:
http://link.springer.com/chapter/10.1007/978-3-662-46994-1_41
[3] S. F. Cantell, The Adaptive Reuse of Historic Industrial Buildings:
Regulation Barriers, Best Practices and Case Studies. Master of Urban
and Regional Planning Thesis, Virginia Polytechnic Institute and State
University, 2005.
[4] R. Austin, Adaptive reuse: Issues and case studies in building
preservation. New York: Van Nostrand Reinhold, 1988, pp.49.
[5] P. Bullen and P. Love, Factors influencing the adaptive re‐use of
buildings. Journal of Engineering, Design and Technology J of Eng,
Design and Tech, 2011, pp.32-46.
[6] J. Douglas, Building adaptation (2nd edition), London: Elsevier, 2006.
[7] S. J. Wilkinson, H. Remøy and C. Langston, Designing for Future
Adaptive Reuse, in Sustainable Building Adaptation: Innovations in
Decision-Making, John Wiley & Sons, Oxford, 2014. doi:
10.1002/9781118477151.ch12
[8] C. Langston and L. Y. Shen, Application of the adaptive reuse potential
model in Hong Kong: A case study of Lui Seng Chun, International
Journal of Strategic Property Management Volume 11, Issue 4, 2007.
Available from:
http://www.tandfonline.com/doi/abs/10.1080/1648715X.2007.9637569
[9] S. Conejos, C. Langston and J. Smith, "Improving the implementation of
adaptive reuse strategies for historic buildings" Le Vie dei Mercanti
S.A.V.E. HERITAGE: Safeguard of Architectural, Visual,
Environmental Heritage. Naples, Italy. Jun. 2011. Available from:
http://epublications.bond.edu.au/cgi/viewcontent.cgi?article=1051&cont
ext=sustainable_development
[10] C. Vasilache, Sustainable building Reuse: Understanding user
preferences for the housing market. (Master of Science Thesis)
Construction Management and Engineering, Eindhoven University of
Technology, Netherland, 2013. Available from:
http://alexandria.tue.nl/extra2/afstversl/bwk/761233.pdf
[11] A. Rand and A. Killing, “Guidelines for The Construction of emergency
relief Infrastructure”, University of Cambridge, London, 2003.
[12] L. Loures and T. Panagopoulos, Sustainable reclamation of industrial
areas in urban landscapes. Sustainable Development and Planning III,
2007. Available from: https://scholar.google.se/scholar?oi=
bibs&cluster=18209000952020540761&btnI=1&hl=en
[13] C.A. Wilson, Adaptive Reuse of Industrial Buildings in Toronto,
Ontario Evaluating Criteria for Determining Building Selection 2010,
pp.38. Available from:
https://qspace.library.queensu.ca/bitstream/1974/5540/1/Wilson_Corey_A_20
1001_MPL.pdf
[14] W. Preiser, Assessing building performance. Oxford: Elsevier, 2005.
[15] B. Omidvar, M. Baradaran-Shoraka and M. Nojavan,"Temporary Site
Selection and Decision-Making Methods: A Case Study of Tehran,
Iran." Disasters 37, no. 3, 2013, pp.536-53.
[16] R. P. Geraedtsand Th. Van der Voordt, The New Transformation Meter.
A new evaluation instrument for matching the market supply of vacant
office buildings and the market demand for new homes and other
functions. In W Bakens, N.J. Habraken, K Kamimura & Y Utida (Eds.),
Building stock activation, 2007, pp. 33-40. Tokyo: THEI Printing Co.
Available from: http://www.bk.tudelft.nl/fileadmin/Faculteit/BK/Over_
de_faculteit/Afdelingen/Real_Estate_and_Housing/Organisatie/
Medewerkers_RE_H/Personal_pages/VanderVoordt/General_list/doc/
2007-Tokyo_GeraedtsVoordt_NewTransformationMeter_BSA-RGrev-
3004.pdf
[17] J. da Silva, Quality and Standards in Post-Disaster Shelter, The
Structural Engineer, June 2007, pp. 25-32. Available from:
http://www.istructe.org/thestructuralengineer/abstract.asp?pid=7360
[18] Sphere Project, Humanitarian Charter and Minimum Standards in
Disaster Response, Oxfam GB, 2004.
[19] Shelter after disaster: Strategies for transitional settlement and
reconstruction. 2010. New York: United Nations/OCHA.
[20] T. Corsellis and A. Vitale, Transitional settlement: Displaced
populations. Oxford: Oxfam GB, 2005.
[21] The United Nations High Commissioner for Refugees (UNHCR).
Handbook for Emergencies. 3rd ed., Geneva, 2007.
[22] S. C. Ramón, S. C. Multi criteria analysis in the renewable energy
industry. London: Springer, 2011. Available from:
http://link.springer.com/content/pdf/10.1007%2F978-1-4471-2346-0.pdf
[23] T. Saaty, The analytical hierarchy process. McGraw-Hill, New York,
1980.
[24] S. Sipahi, and M. Timor. The analytic hierarchy process and analytic
network process: An overview of applications. Management Decision,
48(5), 2010, pp.775-808. Available from:
http://www.emeraldinsight.com/doi/pdfplus/10.1108/002517410110439
20
[25] E. Onder and S. Dag "Combining Analytical Hierarchy Process and
TOPSIS Approaches for Supplier Selection in a Cable Company,"
Journal of Business, Economics & Finance, vol. 2, issue 2, 2013, pp. 56-
74. Available from: http://dergipark.ulakbim.gov.tr/jbef/article/
download/5000075855/5000070156
[1] IFRC, International Federation of Red Cross and Red Crescent Societies.
What is a disaster? Retrieved from: http://www.ifrc.org/en/what-wedo/
disaster-management/about-disasters/what-is-a-disaster/
[2] Y. Tan, L. Shen&C. Langston (2015). A Quantitative Approach for
Identifying Adaptive Reuse Option for Industrial Buildings. Proceedings
of the 19th International Symposium on Advancement of Construction
Management and Real Estate, 2015, pp. 495-505. Available from:
http://link.springer.com/chapter/10.1007/978-3-662-46994-1_41
[3] S. F. Cantell, The Adaptive Reuse of Historic Industrial Buildings:
Regulation Barriers, Best Practices and Case Studies. Master of Urban
and Regional Planning Thesis, Virginia Polytechnic Institute and State
University, 2005.
[4] R. Austin, Adaptive reuse: Issues and case studies in building
preservation. New York: Van Nostrand Reinhold, 1988, pp.49.
[5] P. Bullen and P. Love, Factors influencing the adaptive re‐use of
buildings. Journal of Engineering, Design and Technology J of Eng,
Design and Tech, 2011, pp.32-46.
[6] J. Douglas, Building adaptation (2nd edition), London: Elsevier, 2006.
[7] S. J. Wilkinson, H. Remøy and C. Langston, Designing for Future
Adaptive Reuse, in Sustainable Building Adaptation: Innovations in
Decision-Making, John Wiley & Sons, Oxford, 2014. doi:
10.1002/9781118477151.ch12
[8] C. Langston and L. Y. Shen, Application of the adaptive reuse potential
model in Hong Kong: A case study of Lui Seng Chun, International
Journal of Strategic Property Management Volume 11, Issue 4, 2007.
Available from:
http://www.tandfonline.com/doi/abs/10.1080/1648715X.2007.9637569
[9] S. Conejos, C. Langston and J. Smith, "Improving the implementation of
adaptive reuse strategies for historic buildings" Le Vie dei Mercanti
S.A.V.E. HERITAGE: Safeguard of Architectural, Visual,
Environmental Heritage. Naples, Italy. Jun. 2011. Available from:
http://epublications.bond.edu.au/cgi/viewcontent.cgi?article=1051&cont
ext=sustainable_development
[10] C. Vasilache, Sustainable building Reuse: Understanding user
preferences for the housing market. (Master of Science Thesis)
Construction Management and Engineering, Eindhoven University of
Technology, Netherland, 2013. Available from:
http://alexandria.tue.nl/extra2/afstversl/bwk/761233.pdf
[11] A. Rand and A. Killing, “Guidelines for The Construction of emergency
relief Infrastructure”, University of Cambridge, London, 2003.
[12] L. Loures and T. Panagopoulos, Sustainable reclamation of industrial
areas in urban landscapes. Sustainable Development and Planning III,
2007. Available from: https://scholar.google.se/scholar?oi=
bibs&cluster=18209000952020540761&btnI=1&hl=en
[13] C.A. Wilson, Adaptive Reuse of Industrial Buildings in Toronto,
Ontario Evaluating Criteria for Determining Building Selection 2010,
pp.38. Available from:
https://qspace.library.queensu.ca/bitstream/1974/5540/1/Wilson_Corey_A_20
1001_MPL.pdf
[14] W. Preiser, Assessing building performance. Oxford: Elsevier, 2005.
[15] B. Omidvar, M. Baradaran-Shoraka and M. Nojavan,"Temporary Site
Selection and Decision-Making Methods: A Case Study of Tehran,
Iran." Disasters 37, no. 3, 2013, pp.536-53.
[16] R. P. Geraedtsand Th. Van der Voordt, The New Transformation Meter.
A new evaluation instrument for matching the market supply of vacant
office buildings and the market demand for new homes and other
functions. In W Bakens, N.J. Habraken, K Kamimura & Y Utida (Eds.),
Building stock activation, 2007, pp. 33-40. Tokyo: THEI Printing Co.
Available from: http://www.bk.tudelft.nl/fileadmin/Faculteit/BK/Over_
de_faculteit/Afdelingen/Real_Estate_and_Housing/Organisatie/
Medewerkers_RE_H/Personal_pages/VanderVoordt/General_list/doc/
2007-Tokyo_GeraedtsVoordt_NewTransformationMeter_BSA-RGrev-
3004.pdf
[17] J. da Silva, Quality and Standards in Post-Disaster Shelter, The
Structural Engineer, June 2007, pp. 25-32. Available from:
http://www.istructe.org/thestructuralengineer/abstract.asp?pid=7360
[18] Sphere Project, Humanitarian Charter and Minimum Standards in
Disaster Response, Oxfam GB, 2004.
[19] Shelter after disaster: Strategies for transitional settlement and
reconstruction. 2010. New York: United Nations/OCHA.
[20] T. Corsellis and A. Vitale, Transitional settlement: Displaced
populations. Oxford: Oxfam GB, 2005.
[21] The United Nations High Commissioner for Refugees (UNHCR).
Handbook for Emergencies. 3rd ed., Geneva, 2007.
[22] S. C. Ramón, S. C. Multi criteria analysis in the renewable energy
industry. London: Springer, 2011. Available from:
http://link.springer.com/content/pdf/10.1007%2F978-1-4471-2346-0.pdf
[23] T. Saaty, The analytical hierarchy process. McGraw-Hill, New York,
1980.
[24] S. Sipahi, and M. Timor. The analytic hierarchy process and analytic
network process: An overview of applications. Management Decision,
48(5), 2010, pp.775-808. Available from:
http://www.emeraldinsight.com/doi/pdfplus/10.1108/002517410110439
20
[25] E. Onder and S. Dag "Combining Analytical Hierarchy Process and
TOPSIS Approaches for Supplier Selection in a Cable Company,"
Journal of Business, Economics & Finance, vol. 2, issue 2, 2013, pp. 56-
74. Available from: http://dergipark.ulakbim.gov.tr/jbef/article/
download/5000075855/5000070156
@article{"International Journal of Architectural, Civil and Construction Sciences:73020", author = "A. Esra İdemen and Sinan M. Şener and Emrah Acar", title = "Assessing the Adaptive Re-Use Potential of Buildings as Part of the Disaster Management Process", abstract = "The technological paradigm of the disaster
management field, especially in the case of governmental
intervention strategies, is generally based on rapid and flexible
accommodation solutions. From various technical solution patterns
used to address the immediate housing needs of disaster victims, the
adaptive re-use of existing buildings can be considered to be both
low-cost and practical. However, there is a scarcity of analytical
methods to screen, select and adapt buildings to help decision makers
in cases of emergency. Following an extensive literature review, this
paper aims to highlight key points and problem areas associated with
the adaptive re-use of buildings within the disaster management
context. In other disciplines such as real estate management, the
adaptive re-use potential (ARP) of existing buildings is typically
based on the prioritization of a set of technical and non-technical
criteria which are then weighted to arrive at an economically viable
investment decision. After a disaster, however, the assessment of the
ARP of buildings requires consideration of different/additional layers
of analysis which stem from general disaster management principles
and the peculiarities of different types of disasters, as well as of their
victims. In this paper, a discussion of the development of an adaptive
re-use potential (ARP) assessment model is presented. It is thought
that governmental and non-governmental decision makers who are
required to take quick decisions to accommodate displaced masses
following disasters are likely to benefit from the implementation of
such a model.", keywords = "Adaptive re-use of buildings, assessment model,
disaster management, temporary housing.", volume = "10", number = "3", pages = "433-7", }
