Agency-driven post-disaster recovery: A comparative study of three Typhoon Washi resettlement communities in the Philippines

Santiago, J. Sedfrey S.; Manuela, Wilfred S.; Tan, Marion Lara; Saňez, Siegfried Kiel B.; Tong, Aldo Zelig U.

doi:10.1016/j.ijdrr.2017.11.012

Cited by 28 publications

(28 citation statements)

References 40 publications

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“…ODR approach is considered as the most cost effective approach (Tambe et al, 2018;Santiago et al, 2017;Vahanvati & Beza, 2017;Danquah, Attippoe & Ankrah, 2014). The most critical benefit of ODR is that it allows the affected individuals to decide how to rebuild a critical piece of their lives to meet their needs (Samaddar et al, 2016;Da Silva & Batchelor, 2010).…”

Section: Advantagesmentioning

confidence: 99%

“…This approach can reach large numbers of beneficiaries in a short period of time which means that more houses will be reconstructed (Barenstein & Iyengar, 2010). ODR has a fast reconstruction process (Tambe et al, 2018;Vahanvati & Beza, 2017;Santiago et al, 2017).…”

Section: Advantagesmentioning

confidence: 99%

“…ADR approach is equivalent to donor driven reconstruction and contractor driven reconstruction approach (Barenstein, 2015;Andrew et al, 2013;Lyons, 2009). In this approach, the agency could be a donor (of private, government or non-government sectors) either local or international (Santiago et al, 2017, Barenstein, 2015, Ophiyandri, Amaratunga & Keraminiyage, 2015. In ADR approach, housing reconstruction is entirely handled by the agency concerned from inception to handing over of housing units to recipients (Karunasena & Rameezdeen, 2010).…”

Section: Agency Driven Reconstruction (Adr)mentioning

confidence: 99%

“…It may be the best solution when the affected communities lack the building skills (Da Silva & Batchelor, 2010;Barenstein, 2006). The reconstruction in agency driven approach takes place in-situ (ADRIS); or in relocation site (ADRRS) (Santiago et al, 2017;Bilau & Witt, 2016;Hsu et al, 2015). The difference between in situ and in relocation site approaches is the place of housing reconstruction (Thurairajah, 2013).…”

Section: Agency Driven Reconstruction (Adr)mentioning

confidence: 99%

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A Review of Resourcing Approaches in Post Disaster Housing Reconstruction

Saleh¹,

Enshassi

Sundermeier

2020

IJSCET

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In recent years, the occurrence of disasters is on increase and causes heavy human losses and massive destruction especially on housing sector. Post disaster housing reconstruction (PDHR) is a part of the cycle of four disaster management stages: mitigation, preparedness, response; and recovery and reconstruction. Availability of resources is a key factor to a successful PDHR project. This study systematically reviews 94 articles during the period of 2003 and 2019 on different experiences of PDHR. The study reports the various resourcing approaches of PDHR, their strategies, and their advantages and disadvantages. It identifies the critical success factors that led to a successful resourcing approach. The most cited factors reported in this study can be used as a guide to reconstruction practitioner to choose the most appropriate resourcing approach to reconstruct houses after disasters.

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Section: Advantagesmentioning

confidence: 99%

Section: Advantagesmentioning

confidence: 99%

Section: Agency Driven Reconstruction (Adr)mentioning

confidence: 99%

Section: Agency Driven Reconstruction (Adr)mentioning

confidence: 99%

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A Review of Resourcing Approaches in Post Disaster Housing Reconstruction

Saleh¹,

Enshassi

Sundermeier

2020

IJSCET

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“…In terms of post-disaster recovery, the research shows that the affected areas in the eastern cities recovered rapidly, which we attribute to the relatively high total GDP of these cities, which increases their disaster resistance. Santiago et al [74] also concluded that the regions with higher economic development (i.e., stronger disaster resistance) recover faster from natural disasters. Thus, the information retrieved from NTL data is highly accurate and scientific value.…”

Section: Comparison Of Accuracy Of Retrieved Characteristics Of Naturmentioning

confidence: 99%

Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China

et al. 2019

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Rapid assessment of natural disasters is essential for disaster analysis and spatially explicit strategic decisions of post-disaster reconstruction but requires timely available data. The recent daily data of the National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) day/night band (DNB) provide new opportunities to detect and evaluate natural disasters. Here, we introduce an application of NPP-VIIRS DNB daily data for rapidly assessing the damage of a severe typhoon that struck the urban agglomerations along the western Taiwan Straits in China. Our research explored the methods of rapid identification and extraction of the areas based on changes in nighttime light (NTL) after the typhoon disaster by using a statistical radiation-normalization method. We analyzed the correlations of NTL image derivatives with human population, population density, and gross domestic product (GDP). The strong correlations were found between NTL image light density and population density (R2 = 0.83) and between the total nighttime light intensity and GDP (R2 = 0.96) at the prefecture level. In addition, we examined the interrelationships between changes in NTL images and the areas affected by the typhoon and proposed a method to predict the affected population. Finally, the affected area and the affected population in the study area could be rapidly retrieved based on the proposed remote sensing method. The overall accuracy was 83.2% for the detection of the affected population after disaster and the recovery rate of the affected area was 86.9% in the third week after the typhoon. This research demonstrates that the NTL image-based change detection method is simple and effective, and further explains that the NPP-VIIRS DNB daily data are useful for rapidly assessing affected areas and affected populations after typhoon disasters, and for timely quantifying the degree of recovery at a large spatial scale.

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