Construction of the Scale-Specific Resilience Index to Facilitate Multiscale Decision Making in Disaster Management: A Case Study of the 2015 Nepal Earthquake

2019 ◽  
Vol 148 (1) ◽  
pp. 189-223 ◽  
Author(s):  
Jinglu Song ◽  
Bo Huang ◽  
Rongrong Li ◽  
Rishikesh Pandey
Keyword(s):  
Decision Making ◽  
Disaster Management ◽  
Nepal Earthquake ◽  
Resilience Index ◽  
2015 Nepal Earthquake

scholarly journals Post-Earthquake Night-Time Light Piecewise (PNLP) Pattern Based on NPP/VIIRS Night-Time Light Data: A Case Study of the 2015 Nepal Earthquake

2020 ◽  
Vol 12 (12) ◽  
pp. 2009 ◽  
Author(s):  
Shengjun Gao ◽  
Yunhao Chen ◽  
Long Liang ◽  
Adu Gong
Keyword(s):  
Infrared Imaging ◽  
Random Noise ◽  
Development Rate ◽  
Night Time ◽  
Nepal Earthquake ◽  
Decomposition Procedure ◽  
Spatiotemporal Changes ◽  
Reconstruction Rate ◽  
2015 Nepal Earthquake

Earthquakes are unpredictable and potentially destructive natural disasters that take a long time to recover from. Monitoring post-earthquake human activity (HA) is of great significance to recovery and reconstruction work. There is a strong correlation between night-time light (NTL) and HA, which aid in the study of spatiotemporal changes in post-earthquake human activities. However, seasonal and noise impact from National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) data greatly limits their application. To tackle these issues, random noise and seasonal fluctuation of NPP/VIIRS from January 2014 to December 2018 is removed by adopting the seasonal-trend decomposition procedure based on loess (STL). Based on the theory of post-earthquake recovery model, a post-earthquake night-time light piecewise (PNLP) pattern is explored by employing the National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) monthly data. PNLP indicators, including pre-earthquake development rate (kp), recovery rate (kr1), reconstruction rate (kr2), development rate (kd), relative reconstruction rate (krp) and loss (S), are defined to describe the PNLP pattern. Furthermore, the 2015 Nepal earthquake is chosen as a case study and the spatiotemporal changes in different areas are analyzed. The results reveal that: (1) STL is an effective algorithm for obtaining HA trend from the time series of denoising NTL; (2) the PNLP pattern, divided into four phases, namely the emergency phase (EP), recovery phase (RP-1), reconstruction phase (RP-2), and development phase (DP), aptly describes the variation in post-earthquake HA; (3) PNLP indicators are capable of evaluating the recovery differences across regions. The main socio-economic factors affecting the PNLP pattern and PNLP indicators are energy source for lighting, type of building, agricultural economy, and human poverty index. Based on the NPP/VIIRS data, the PNLP pattern can reflect the periodical changes of HA after earthquakes and provide an effective means for the analysis and evaluation of post-earthquake recovery and reconstruction.

A case study of co-ordinative decision-making in disaster management

Ergonomics ◽  
2000 ◽  
Vol 43 (8) ◽  
pp. 1153-1166 ◽  
Author(s):  
Wally Smith ◽  
John Dowell
Keyword(s):  
Decision Making ◽  
Disaster Management

Utilizing a 3D Global P‐Wave Tomography Model to Improve Backprojection Imaging: A Case Study of the 2015 Nepal Earthquake

2017 ◽  
Vol 107 (5) ◽  
pp. 2459-2466 ◽  
Author(s):  
Zhipeng Liu ◽  
Chao Song ◽  
Lingsen Meng ◽  
Zengxi Ge ◽  
Qinghua Huang ◽  
...  
Keyword(s):  
P Wave ◽  
Nepal Earthquake ◽  
Wave Tomography ◽  
2015 Nepal Earthquake

Incident and Disaster Management Training

2011 ◽  
pp. 179-200 ◽  
Author(s):  
Anne M. Hewitt ◽  
Susan S. Spencer ◽  
Danielle Mirliss ◽  
Riad Twal
Keyword(s):  
Decision Making ◽  
Disaster Management ◽  
Virtual Worlds ◽  
Second Life ◽  
Virtual World ◽  
Management Training ◽  
Learning Theories ◽  
Educational Benefits ◽  
Learning Frameworks

The maturation of incident and disaster management training has led to opportunities for the inclusion of multi-modal learning frameworks. Virtual reality technology, specifically multi-user virtual environments (MUVEs) such as virtual worlds (VW), offers the potential, through carefully crafted applications, for increasing collaboration, leadership, and decision making skills of diverse adult learners. This chapter presents a review of ICT appropriate learning theories and a synopsis of the educational benefits and practices. A case study, offered as part of a Master of Healthcare Administration (MHA) course for health care managers, demonstrates the application of a virtual world training scenario hosted in Second Life® and using a Play2Train simulation. Students report a strong positive reaction to virtual learning and demonstrate improved crisis communication skills and decision making competencies. Additional research is recommended to demonstrate the utility of virtual world learning as compared to standard training options such as tabletop exercises.

scholarly journals Decision-making and operations in disasters: challenges and opportunities

2018 ◽  
Vol 38 (10) ◽  
pp. 1964-1986 ◽  
Author(s):  
Oscar Rodríguez-Espíndola ◽  
Pavel Albores ◽  
Christopher Brewster
Keyword(s):  
Decision Making ◽  
Best Practices ◽  
Disaster Management ◽  
Secondary Data ◽  
Management Policy ◽  
Content Type ◽  
Operational Level ◽  
Challenges And Opportunities ◽  
The Impact

Purpose Decision-making structures are commonly associated with the logistics challenges experienced during disaster operations. However, the alignment between the operational level and the decision-making structure is commonly overlooked. The purpose of this paper is to provide an analysis of the fit of both levels and its impact on performance. Design/methodology/approach The research is developed around a case study in Mexico. Through a review of the disaster management policy in the country, interviews and secondary data, the paper provides an analysis of the current decision-making structure, the logistics activities undertaken by authorities and the impact of the alignment between both components on logistics performance. Findings The analysis suggests that several of the challenges commonly associated with centralisation are actually rooted on its alignment with the operational level. The logistics performance is negatively affected by faulty assumptions, poorly planned procedures, inconsistent decision-making and poorly designed structures. The case showed the need to align the operational level with a centralised perspective to increase responsiveness, flexibility and the interaction between different organisations. Originality/value This paper identifies the impact of the misalignment between the decision-making structure and the operational level on logistics performance, an area currently understudied. It moves from the current argument about the appropriate decision-making structure for disaster management to the identification of components to implement an efficient and effective disaster management system. Additionally, this paper provides recommendations for best practices in humanitarian logistics, which are applicable to Mexico and other countries using a centralised decision-making approach.

scholarly journals Efektivitas Undang-Undang Nomor 24 Tahun 2007 Tentang Penanggulangan Bencana dan Fikih Kebencanaan Terhadap Perilaku Warga Muhammadiyah (Studi Kasus Covid-19)

2021 ◽  
Vol 7 (1) ◽  
pp. 202
Author(s):  
Isngadi Isngadi ◽  
Mufti Khakim
Keyword(s):  
Decision Making ◽  
Civil Society ◽  
Disaster Management ◽  
Supporting Capacity ◽  
Normative Study ◽  
Government Decision ◽  
The Law ◽  
Management Case Study ◽  
Research Show

Disaster management is the obligation of the state in carrying out constitutional duties, namely protecting all spilled Indonesian blood. Disasters have the potential to cause casualties and property. Laws are needed as the basis for government decision making in disaster management. The effectiveness of implementing law number 24 of 2007 can be a benchmark for disaster management. The participation of civil society such as Muhammadiyah mass organizations is a supporting capacity in disaster management. This research is a normative study of the effectiveness of the law on disaster management and Muhammadiyah disaster management case study of Covid 19. The results of the research show that there are many things that need to be evaluated in the implementation of the implementation of the law.

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