Partnerships for the Goals

Living Edition
| Editors: Walter Leal Filho, Anabela Marisa Azul, Luciana Brandli, Pinar Gökcin Özuyar, Tony Wall

Disaster Risk Reduction and Resilience Through Partnership and Collaboration

  • Hock Lye Koh
  • Su Yean TehEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-71067-9_49-1

Definitions

Disaster risk arises when hazards interact with vulnerabilities. Hazard is defined as a potentially damaging physical event, phenomenon, or human activity that may cause the loss of life or injury, property damage, social and economic disruption, or environmental degradation. Hazards can include latent conditions that may represent future threats and can have different origins: natural (geological, hydrometeorological, and biological) or induced by human processes (environmental degradation and technological hazards). Vulnerability is defined as the conditions determined by physical, social, economic, and environmental factors or processes, which increase the susceptibility of a community to the impact of hazards (UNISDR 2005).

Resilience is defined as the capacity of a system, community, or society potentially exposed to hazards to adapt by resisting or changing in order to reach and maintain an acceptable level of functioning and structure. This is determined by the...

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References

  1. Abunyewah M, Gajendran T, Maund K (2018) Conceptual framework for motivating actions towards disaster preparedness through risk communication. Procedia Eng 212:246–253.  https://doi.org/10.1016/j.proeng.2018.01.032 CrossRefGoogle Scholar
  2. Amaratunga D, Liyanage C, Haigh R (2018) A study into the role of international collaborations in higher education to enhance research capacity for disaster resilience. Procedia Eng 212:1233–1240.  https://doi.org/10.1016/j.proeng.2018.01.159 CrossRefGoogle Scholar
  3. Anh LT, Takagi H, Thao ND, Esteban M (2017) Investigation of awareness of typhoon and storm surge in the Mekong Delta – recollection of 1997 typhoon Linda. J Jpn Soc Civ Eng Ser B3 (Ocean Eng) 7(2):168–173Google Scholar
  4. Arce RSC, Onuki M, Esteban M, Shibayama T (2017) Risk awareness and intended tsunami evacuation behaviour of international tourists in Kamakura City, Japan. Int J Disaster Risk Reduction 23:178–192.  https://doi.org/10.1016/j.ijdrr.2017.04.005 CrossRefGoogle Scholar
  5. Carnwell R, Carson A (2005) Understanding partnerships and collaboration. In: Carnwell R, Buchanan J (eds) Effective practice in health and social care: a partnership approach. Open University Press, Maidenhead, pp 3–20Google Scholar
  6. Esteban M, Takagi H, Mikami T, Aprilia A, Fujii D, Kurobe S, Utamae NA (2017) Awareness of coastal floods in impoverished subsiding coastal communities in Jakarta: tsunamis, typhoon storm surges and dyke-induced tsunamis. Int J Disaster Risk Reduction 23:70–79.  https://doi.org/10.1016/j.ijdrr.2017.04.007 CrossRefGoogle Scholar
  7. Frankenberg E, Sikoki B, Sumantri C, Suriastini W, Thomas D (2013) Education, vulnerability, and resilience after a natural disaster. Ecol Soc 18(2):16.  https://doi.org/10.5751/es-05377-180216 CrossRefGoogle Scholar
  8. Gee MJR, Uy HS, Warren J, Morley CK, Lambiase JJ (2007) The Brunei slide: a giant submarine landslide on the NorthWest Borneo margin revealed by 3D seismic data. Mar Geol 246:9–23.  https://doi.org/10.1016/j.margeo.2007.07.009 CrossRefGoogle Scholar
  9. Hemingway R, Gunawan O (2018) The natural hazards partnership: a public-sector collaboration across the UK for natural hazard disaster risk reduction. Int J Disaster Risk Reduction 27:499–511.  https://doi.org/10.1016/j.ijdrr.2017.11.014 CrossRefGoogle Scholar
  10. Johnson VA, Ronan KR, Johnston DM, Peace R (2014) Evaluations of disaster education programs for children: a methodological review. Int J Disaster Risk Reduction 9:107–123.  https://doi.org/10.1016/j.ijdrr.2014.04.001 CrossRefGoogle Scholar
  11. Johnston D, Benton K (1998) Volcanic hazard perception in Inglewood, New Zealand. Australas J Disaster Trauma Stud 2:1–8Google Scholar
  12. Johnston D, Paton D, Crawford GL, Ronan K, Houghton B, Bürgelt P (2005) Measuring tsunami preparedness in coastal Washington, United States. Nat Hazards 35:173–184.  https://doi.org/10.1007/s11069-004-2419-8 CrossRefGoogle Scholar
  13. Kalkman JP, de Waard EJ (2017) Inter-organizational disaster management projects: finding the middle way between trust and control. Int J Proj Manag 35(5):889–899.  https://doi.org/10.1016/j.ijproman.2016.09.013 CrossRefGoogle Scholar
  14. King D, Gurtner Y (2005) After the wave: a wake up warning for Australian coastal locations. Australas J Emerg Manag 20:4–9Google Scholar
  15. Koh HL, Izani AMI, Mohd Izham MI (eds) (2006) Monitoring and modeling of a university in a garden. Healthy Campus Program, vol 13. USM Press, Penang, 106pGoogle Scholar
  16. Koh HL, Teh SY, Izani AMI (2007) Tsunami mitigation management. Special feature: natural disaster management technologies. The United Nations Asian and Pacific Centre for Transfer of Technology (UN-APCTT) Nov–Dec 2007. Asia Pac Tech Monit 24(6):47–54Google Scholar
  17. Koh HL, Teh SY, Liu PL-F, Md IAI, Lee HL (2009) Simulation of Andaman 2004 tsunami for assessing impact on Malaysia. J Asian Earth Sci 36:74–83.  https://doi.org/10.1016/j.jseaes.2008.09.008 CrossRefGoogle Scholar
  18. Koh HL, Liu PL-F, Teh SY (eds) (2011a) Tsunami education, protection and preparedness. USM Press, Penang, p 247Google Scholar
  19. Koh HL, Liu PL-F, Teh SY (eds) (2011b) Tsunami simulation for impact assessment. USM Press, Penang, p 249Google Scholar
  20. Koh HL, Teh SY, Majid TA, Lau TL, Ahmad F (2012) Earthquake and tsunami research in USM: the role of disaster research Nexus. Pertanika J Sci Technol 20(1):151–163Google Scholar
  21. Koh HL, Teh SY, Tan WK, Kh’ng XY (2017) Validation of tsunami inundation model TUNA-RP using OAR–PMEL–135 benchmark problem set. IOP Conf Ser 67:012030.  https://doi.org/10.1088/1755-1315/67/1/012030 CrossRefGoogle Scholar
  22. Kurita T, Nakamura A, Kodama M, Colombage S (2006) Tsunami public awareness and the disaster management system of Sri Lanka. Disaster Prev Manag 15:92–110.  https://doi.org/10.1108/09653560610654266 CrossRefGoogle Scholar
  23. Maltais A, Weitz N, Persson Å (2018) SDG 17: partnerships for the goals. A review of research needs. Technical annex to the Formas report Forskning för Agenda 2030: Översikt av forskningsbehov och vägar framåt. Stockholm Environment Insitute, Stockholm, pp 1–46Google Scholar
  24. Munene MB, Swartling ÅG, Thomalla F (2018) Adaptive governance as a catalyst for transforming the relationship between development and disaster risk through the Sendai framework? Int J Disaster Risk Reduct 28:653–663.  https://doi.org/10.1016/j.ijdrr.2018.01.021 CrossRefGoogle Scholar
  25. Oktari RS, Shiwaku K, Syamsidik MK, Shaw RA (2015) A conceptual model of a school–community collaborative network in enhancing coastal community resilience in Banda Aceh, Indonesia. Int J Disaster Risk Reduct 12:300–310.  https://doi.org/10.1016/j.ijdrr.2015.02.006 CrossRefGoogle Scholar
  26. Oktari RS, Shiwaku K, Munadi K, Syamsidik SR (2017) Enhancing community resilience towards disaster: the contributing factors of school-community collaborative network in the tsunami affected area in Aceh. 2017. Int J Disaster Risk Reduct 29:3–12.  https://doi.org/10.1016/j.ijdrr.2017.07.009 CrossRefGoogle Scholar
  27. Pascapurnama DN, Aya Murakami A, Chagan-Yasutan H, Hattori T, Sasaki H, Egawa S (2018) Integrated health education in disaster risk reduction: lesson learned from disease outbreak following natural disasters in Indonesia. Int J Disaster Risk Reduct 29:94–102.  https://doi.org/10.1016/j.ijdrr.2017.07.013 CrossRefGoogle Scholar
  28. Pongponrat K, Ishii K (2017) Social vulnerability of marginalized people in times of disaster: case of Thai women in Japan tsunami 2011. Int J Disaster Risk Reduct 27:133–141.  https://doi.org/10.1016/j.ijdrr.2017.09.047 CrossRefGoogle Scholar
  29. Ronan KR, Johnston DM, Daly M, Fairley R (2001) School children’s risk perception and preparedness: a hazards education survey. Australas J Disaster Trauma Stud 1:32Google Scholar
  30. Shaw R, Takeuchi Y, Gwee QR, Shiwaku K (2011) Disaster education: an introduction. In: Shaw R, Shiwaku K, Takeuchi Y (eds) Disaster education. Community, environment and disaster risk management, vol 7. Emerald Group Publishing Limited, Bingley, pp 1–22Google Scholar
  31. Shaw R, Takeuchi Y, Arnold M, Arakida (2013) Knowledge note 2–3. Cluster 2: non-structural measures. The education sector. Global Facility for Disaster Reduction and Recovery (GFDRR), the World Bank. Available via EERI. https://www.eeri.org/projects/world-bank-and-global-facility-for-disaster-reduction-and-recovery-grant-agreement-2/. Accessed 15 Dec 2018
  32. Sieh K, Daly P, Mckinnon EE, Pilarczyk JE, Chiang H-W, Horton B, Rubin CM, Shen C-C, Ismail N, Vane CH, Feener RM (2015) Penultimate predecessors of the 2004 Indian Ocean tsunami in Aceh, Sumatra: stratigraphic, archaeological, and historical evidence. J Geophys Res 120:308–325.  https://doi.org/10.1002/2014JB011538 CrossRefGoogle Scholar
  33. Tan WK, Teh SY, Koh HL (2017) Tsunami runup and inundation along the coast of Sabah and Sarawak, Malaysia due to a potential Brunei submarine mass failure. Environ Sci Pollut Res 24:15976–15994.  https://doi.org/10.1007/s11356-017-8698-x CrossRefGoogle Scholar
  34. Teh SY, Koh HL (2020) Education for sustainable development: the STEM approach in Universiti Sains Malaysia. In: Leal Filho W et al. (eds) Universities as living labs for sustainable development. World sustainability series. Springer, Cham, pp 567–587. https://doi.org/10.1007/978-3-030-15604-6_35Google Scholar
  35. Teh SY, Koh HL, Liu PL-F, Md IAI, Lee HL (2009) Analytical and numerical simulation of tsunami mitigation by mangroves in Penang, Malaysia. J Asian Earth Sci 36:38–46.  https://doi.org/10.1016/j.jseaes.2008.09.007 CrossRefGoogle Scholar
  36. Teh SY, Koh HL, Lim YH (2018a) Tsunami run-up amplification factors for real-time prediction of run-up heights and inundation distances for Penang Island. J Phys Conf Ser 1123(1):012049.  https://doi.org/10.1088/1742-6596/1123/1/012049 CrossRefGoogle Scholar
  37. Teh SY, DeAngelis DL, Voss CI, Sternberg L, Koh HL (2018b) MANTRA-O18: an extended version of SUTRA modified to simulate salt and δ18O transport amid water uptake by plants. E3S Conf 54:00039.  https://doi.org/10.1051/e3sconf/20185400039 CrossRefGoogle Scholar
  38. Teh SY, Koh HL, DeAngelis DL, Voss CI, Sternberg L (2019) Modeling δ18O as an early indicator of regime shift arising from salinity stress in coastal vegetation. Hydrogeol J. 27(4):1257–1276.  https://doi.org/10.1007/s10040-019-01930-3 CrossRefGoogle Scholar
  39. UNISDR (2005) Hyogo framework for action 2005–2015: building the resilience of nations and communities to disasters. United Nations International Strategy for Disaster Reduction, Geneva. Available via UNISDR. https://www.unisdr.org/2005/wcdr/intergover/official-doc/L-docs/Hyogo-framework-for-action-english.pdf. Accessed 2 January 2019Google Scholar
  40. UNISDR (2015) Sendai framework on disaster risk reduction 2015–2030. United Nations Office for Disaster Risk Reduction, Geneva. Available via UNISDR. https://www.unisdr.org/files/43291_sendaiframeworkfordrren.pdf. Accessed 2 January 2019Google Scholar
  41. Woo WT, Koh HL, Teh SY (2020) Achieving excellence in sustainable development goals in Sunway University Malaysia. In: Leal Filho W et al. (eds) Universities as living labs for sustainable development. World sustainability series. Springer, Cham, pp 265–282.  https://doi.org/10.1007/978-3-030-15604-6_17 Google Scholar
  42. Zhou L, Perera S, Jayawickrama J, Adeniyi O (2014) The implication of Hyogo framework for action for disaster resilience education. Procedia Econ Financ 18:576–583.  https://doi.org/10.1016/S2212-5671(14)00978-2 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Jeffrey Sachs Center on Sustainable DevelopmentSunway UniversityBandar SunwayMalaysia
  2. 2.School of Mathematical SciencesUniversiti Sains MalaysiaPulau PinangMalaysia

Section editors and affiliations

  • Marco Tortora
    • 1
    • 2
  1. 1.Department of Economics and Management SciencesUniversity of FlorenceFlorenceItaly
  2. 2.PIN Prato. University of FlorenceLaboratorio Ambiente, Impresa, SocietàPratoItaly