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Adeyeye, K and Emmitt, S (2017) Multi-scale, integrated strategies for urban flood resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 494-520.

Ahmed, I (2016) Housing and resilience: case studies from the Cook Islands. International Journal of Disaster Resilience in the Built Environment, 7(05), 489-500.

Ali, R A, Mannakkara, S and Wilkinson, S (2020) Factors affecting successful transition between post-disaster recovery phases: a case study of 2010 floods in Sindh, Pakistan. International Journal of Disaster Resilience in the Built Environment, 11(05), 597–614.

Baroudi, B and Rapp, R (2016) Disaster restoration project management: leadership education and methods. International Journal of Disaster Resilience in the Built Environment, 7(05), 434-43.

Choi, C Y and Honda, R (2019) Motive and conflict in the disaster recovery process. International Journal of Disaster Resilience in the Built Environment, 10(05), 408–19.

Durage, S W, Wirasinghe, S C and Ruwanpura, J Y (2017) Tornado mitigation network analysis and simulation. International Journal of Disaster Resilience in the Built Environment, 8(05), 478-93.

Feofilovs, M, Romagnoli, F, Gotangco, C K, Josol, J C, Jardeleza, J M P, Litam, J E, Campos, J I and Abenojar, K (2020) Assessing resilience against floods with a system dynamics approach: a comparative study of two models. International Journal of Disaster Resilience in the Built Environment, 11(05), 615–29.

Firouzi Jahantigh, F and Jannat, F (2019) Analyzing the sequence and interrelations of Natech disasters in Urban areas using interpretive structural modelling (ISM). International Journal of Disaster Resilience in the Built Environment, 10(05), 392–407.

Ganguly, K K, Padhy, R K and Rai, S S (2017) Managing the humanitarian supply chain: a fuzzy logic approach. International Journal of Disaster Resilience in the Built Environment, 8(05), 521-36.

Harisuthan, S, Hasalanka, H, Kularatne, D and Siriwardana, C (2020) Applicability of the PTVA-4 model to evaluate the structural vulnerability of hospitals in Sri Lanka against tsunami. International Journal of Disaster Resilience in the Built Environment, 11(05), 581–96.

Huong, H T L and Dzung, L H (2020) Criteria for flood warning levels in Vietnam. International Journal of Disaster Resilience in the Built Environment, 11(05), 645–58.

Ismail, F Z, Halog, A and Smith, C (2017) How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction. International Journal of Disaster Resilience in the Built Environment, 8(05), 555-72.

Kashem, S B (2019) Housing practices and livelihood challenges in the hazard-prone contested spaces of rural Bangladesh. International Journal of Disaster Resilience in the Built Environment, 10(05), 420–34.

Kimura, N, Tai, A and Hashimoto, A (2017) Flood caused by driftwood accumulation at a bridge. International Journal of Disaster Resilience in the Built Environment, 8(05), 466-77.

Kuittinen, M (2016) Does the use of recycled concrete lower the carbon footprint in humanitarian construction?. International Journal of Disaster Resilience in the Built Environment, 7(05), 472-88.

Low, S P, Gao, S and Wong, G Q E (2017) Resilience of hospital facilities in Singapore’s healthcare industry: a pilot study. International Journal of Disaster Resilience in the Built Environment, 8(05), 537-54.

  • Type: Journal Article
  • Keywords: Singapore; resilience; facilities; vulnerabilities; healthcare industry; hospital facilities
  • ISBN/ISSN:
  • URL: https://doi.org/10.1108/IJDRBE-10-2015-0050
  • Abstract:
    Purpose Singapore’s health-care infrastructure is suffering from increasing pressure due to population growth and a rapidly ageing population. This paper aims to assess the resilience of hospital facilities in Singapore’s health-care industry. The main attribute of resilience is adaptive capacity, which is also associated with vulnerability. Vulnerability is defined as the system’s susceptibility to threats that cause damage and affect its normal performance, while resilience is defined as the ability to anticipate and the capacity to change before a setback becomes obvious. Design/methodology/approach A questionnaire survey was adopted for the study, with respondents drawn randomly from both the health-care professionals as well as the public. The questionnaire survey results from 83 respondents, consisting of 31 health-care professionals and 52 members of the public, are analysed in this pilot study. Findings Ninety-one per cent of the respondents perceived bed shortage as an indication of vulnerability. The survey results showed that bed shortages, high bed-occupancy and long waiting hours were perceived as indications of vulnerability. The top three vulnerabilities identified were Singapore’s ageing population, the fast-growing population and the increasing trend of chronic diseases in its population. From the results, respondents appeared doubtful about the resilience of Singapore’s public hospitals. On a positive note, Singapore residents are still, relatively speaking, confident of the quality of Singapore’s health-care delivery system, which can be translated as one with relatively strong community resilience. Originality/value In conclusion, it appears fair to say that the public perceive hospital facilities in Singapore’s health-care industry to be reasonably resilient, but expect further improvements to ensure continuous delivery of quality health-care services.

Maal, M and Wilson-North, M (2019) Social media in crisis communication – the “do’s” and “don’ts”. International Journal of Disaster Resilience in the Built Environment, 10(05), 379–91.

Mandal, S, Sarathy, R, Korasiga, V R, Bhattacharya, S and Dastidar, S G (2016) Achieving supply chain resilience: The contribution of logistics and supply chain capabilities. International Journal of Disaster Resilience in the Built Environment, 7(05), 544-62.

Mukhopadhyay, S, Halligan, J and Hastak, M (2016) Assessment of major causes: nuclear power plant disasters since 1950. International Journal of Disaster Resilience in the Built Environment, 7(05), 521-43.

Naja, M K and Baytiyeh, H (2016) Risk assessment of high schools in Lebanon for potential terrorist threat. International Journal of Disaster Resilience in the Built Environment, 7(05), 460-71.

Oloo, J O and Omondi, P (2017) Strengthening local institutions as avenues for climate change resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 573-88.

Ongkowijoyo, C S, Doloi, H and Mills, A (2019) Participatory-based risk impact propagation and interaction pattern analysis using social network analysis. International Journal of Disaster Resilience in the Built Environment, 10(05), 363–78.

Pamungkas, A and Purwitaningsih, S (2019) Green and grey infrastructures approaches in flood reduction. International Journal of Disaster Resilience in the Built Environment, 10(05), 343–62.

Rafi, M M, Lodi, S H, Ahmed, M, Kumar, A and Verjee, F (2016) Development of building inventory for northern Pakistan for seismic risk reduction. International Journal of Disaster Resilience in the Built Environment, 7(05), 501-20.

Rautela, P, Joshi, G C and Ghildiyal, S (2019) Economics of seismic safety for earthquake-prone Himalayan province of Uttarakhand in India. International Journal of Disaster Resilience in the Built Environment, 10(05), 317–42.

Shahin, M, Billah, M, Islam, M M, Parvez, A and Zaman, A M (2020) Cyclone shelters need sustainable development. International Journal of Disaster Resilience in the Built Environment, 11(05), 659–78.

Subedi, J, Ghimire, R M, Neupane, R P and Amatya, S (2016) Cost difference of buildings in Kathmandu constructed with and without earthquake safer features. International Journal of Disaster Resilience in the Built Environment, 7(05), 444-59.

Tasantab, J C, Gajendran, T, von Meding, J and Maund, K (2020) Perceptions and deeply held beliefs about responsibility for flood risk adaptation in Accra Ghana. International Journal of Disaster Resilience in the Built Environment, 11(05), 631–44.