Study on Vehicle Loss Evaluation and Vulnerability Function for Flood Loss Assessment Model (1) - Method

2019 ◽  
Vol 14 (4) ◽  
pp. 267-279
Author(s):  
Gilho Kim ◽  
◽  
Kyungtak Kim ◽  
Cheongyu Choi ◽  
Seungjin Hong
Keyword(s):  
Assessment Model ◽  
Loss Assessment ◽  
Flood Loss

scholarly journals Residential Flood Loss Assessment and Risk Mapping from High-Resolution Simulation

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 751 ◽  
Author(s):  
Afifi ◽  
Chu ◽  
Kuo ◽  
Hsu ◽  
Wong ◽  
...  
Keyword(s):  
High Resolution ◽  
Residential Buildings ◽  
Flood Disaster ◽  
Assessment Model ◽  
Risk Level ◽  
Residential Areas ◽  
Loss Assessment ◽  
Flood Loss ◽  
Resolution Model ◽  
Direct Loss

Since the patterns of residential buildings in the urban area are small-sized and dispersed, this study proposes a high-resolution flood loss and risk assessment model to analyze the direct loss and risk impacts caused by floods. The flood inundation simulation with a fine digital elevation model (DEM) provides detailed estimations of flood-inundated areas and their corresponding inundation depths during the 2016 Typhoon Megi and 2017 Typhoon Haitang. The flood loss assessment identifies the impacts of both events on residential areas. The depth-damage table from surveys in the impacted area was applied. Results indicated that the flood simulation with the depth-damage table is an effective way to assess the direct loss of a flood disaster. The study also showed the effects of spatial resolution on the residential loss. The results indicated that the low-resolution model easily caused the estimated error of loss in dispersed residential areas when compared with the high-resolution model. The analytic hierarchy process (AHP), as a multi-criteria decision-making method, was used to identify the weight factor for each vulnerability factor. The flood-vulnerable area was mapped using natural and social vulnerability factors, such as high-resolution DEM, distance to river, distance to fire station, and population density. Eventually, the flood risk map was derived from the vulnerability and flood hazard maps to present the risk level of the flood disaster in the residential areas.

scholarly journals Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 126
Author(s):  
Youjie Jin ◽  
Jianyun Zhang ◽  
Na Liu ◽  
Chenxi Li ◽  
Guoqing Wang
Keyword(s):  
Spatial Resolution ◽  
Loss Rate ◽  
Flash Flood ◽  
Economic Loss ◽  
Economic Losses ◽  
Risk Level ◽  
Loss Assessment ◽  
Flood Loss ◽  
Flood Disasters

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.

scholarly journals Quantifying the Third-Party Loss in Building Construction Sites Utilizing Claims Payouts: A Case Study in South Korea

2020 ◽  
Vol 12 (23) ◽  
pp. 10153
Author(s):  
Ji-Myong Kim ◽  
Kag-Cheon Ha ◽  
Sungjin Ahn ◽  
Seunghyun Son ◽  
Kiyoung Son
Keyword(s):  
Construction Management ◽  
Construction Projects ◽  
Building Construction ◽  
Assessment Model ◽  
Third Party ◽  
Sustainable Construction ◽  
Loss Assessment ◽  
Construction Sites ◽  
The Third ◽  
The Third Party

This study aims to quantify the losses to third-parties on construction sites by determining the loss indicators and identifying the relationship between the losses and the indicators to improve the sustainability on building construction sites. The growing size and intricacy of recent construction projects have resulted in the growth of losses, both in quantity and frequency. Notably, third-party losses are rapidly increasing owing to the urbanization of the environment and increases in construction scale. Therefore, for efficient and sustainable construction management, a financial loss assessment model is essential to mitigate and manage such loss. This study uses the third-party losses on construction sites obtained from a major South Korean insurance company to describe the difference from the material losses and to disclose the loss indicators based on actual economic losses. ANOVA analysis and multiple regression analysis are adopted to identify the variance and define the loss indicators and to make prediction models, respectively. Several groups of loss indicators are investigated, including construction information and the occurrence of natural disasters. The findings and results of this research afford an essential guide to sustainable construction management, and they can serve as a first stage loss assessment model for construction projects.

scholarly journals Probabilistic earthquake and flood loss assessment in the Middle East

2020 ◽  
Vol 49 ◽  
pp. 101662 ◽  
Author(s):  
Jamal Dabbeek ◽  
Vitor Silva ◽  
Carmine Galasso ◽  
Andrew Smith
Keyword(s):  
Middle East ◽  
Loss Assessment ◽  
Flood Loss

Expert-based approach to rank critical asset assessment factors for healthcare facilities

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dalia Salem ◽  
Emad Elwakil
Keyword(s):  
Health Care ◽  
Asset Management ◽  
Care Facility ◽  
Health Care Facility ◽  
Health Care Facilities ◽  
Assessment Model ◽  
Loss Assessment ◽  
Content Type ◽  
Care Facilities ◽  
General Safety

Purpose This research’s main objective is to develop an expert-based approach to rank critical asset assessment factors for health-care facilities. This approach will improve the asset management of health-care buildings. This paper aims to study and prioritize the relative importance of asset criticality factors. Design/methodology/approach The research methodology begins with a comprehensive literature review of state-of-the-art health-care facilities management, asset management tools, critical asset assessment and approaches to model techniques. Then, using the expert-based opinion and the collected data through the analytical hierarchy process approach to developing the asset assessment model contains physical, environmental, general safety and revenue loss assessment models. Findings Results showed that the general safety factors and the sub-factors of life safety and physical safety contributed to asset condition assessment. Practical implications The proposed critical asset assessment ranking will benefit health-care facility organizations by assessing their asset performance according to capital renewal needs. Originality/value This study offers a novel conceptual framework to understand and determine rank critical asset assessment factors for health-care facilities.

scholarly journals Disease Risk Curves

2013 ◽  
Vol 103 (11) ◽  
pp. 1108-1114 ◽  
Author(s):  
G. Hughes ◽  
F. J. Burnett ◽  
N. D. Havis
Keyword(s):  
Disease Risk ◽  
Crop Protection ◽  
Threshold Level ◽  
Assessment Model ◽  
Disease Assessment ◽  
Loss Assessment ◽  
Early Disease ◽  
Protection Measures ◽  
Need For Treatment ◽  
Risk Curves

Disease risk curves are simple graphical relationships between the probability of need for treatment and evidence related to risk factors. In the context of the present article, our focus is on factors related to the occurrence of disease in crops. Risk is the probability of adverse consequences; specifically in the present context it denotes the chance that disease will reach a threshold level at which crop protection measures can be justified. This article describes disease risk curves that arise when risk is modeled as a function of more than one risk factor, and when risk is modeled as a function of a single factor (specifically the level of disease at an early disease assessment). In both cases, disease risk curves serve as calibration curves that allow the accumulated evidence related to risk to be expressed on a probability scale. When risk is modeled as a function of the level of disease at an early disease assessment, the resulting disease risk curve provides a crop loss assessment model in which the downside is denominated in terms of risk rather than in terms of yield loss.

scholarly journals Flood loss assessment in the Kota Tinggi

2014 ◽  
Vol 18 ◽  
pp. 012120 ◽  
Author(s):  
T H Tam ◽  
A L Ibrahim ◽  
M Z A Rahman ◽  
Z Mazura
Keyword(s):  
Loss Assessment ◽  
Flood Loss
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