scholarly journals State emergency service of Ukraine units' potential mission effectiveness during emergency response assessment model

2017 ◽  
pp. 96-100
Author(s):  
H.V. Ivanets ◽  
M.G. Ivanets ◽  
H.M. Safarova
Keyword(s):  
Emergency Response ◽  
Emergency Service ◽  
Response Assessment ◽  
Assessment Model ◽  
Mission Effectiveness

Global assessment of flood impact on emergency service provision to vulnerable populations under climate change 

2021 ◽  
Author(s):  
Sarah Johnson ◽  
Robert Wilby ◽  
Dapeng Yu ◽  
Tom Matthews
Keyword(s):  
Climate Change ◽  
Emergency Response ◽  
Vulnerable Populations ◽  
Service Provision ◽  
Emergency Service ◽  
Social Inequalities ◽  
Vulnerable Population ◽  
Flood Hazards ◽  
Emergency Responder ◽  
Vulnerable Population Groups

<p>Flooding is a major global hazard that accounts for one-third of all reported natural disasters and over 500,000 fatalities since 1980. Globally, vulnerable populations (very young, elderly, medical special needs individuals, etc.) are disproportionately affected by flooding and predominantly encompass the majority of flood associated injuries and fatalities. This is caused by their low self-reliance, weak political voice and insufficient inclusion into climate adaptation and emergency response plans.</p><p>Vulnerable individuals are largely reliant on Ambulance and Fire & Rescue Services due to flood induced injuries, exacerbated medical conditions, and requiring evacuative assistance. These services are primary emergency responders to flooding that provide rescue and relief efforts. However, during flood events, the demand for Ambulance and Fire & Rescue Service often exceeds the potential capacity and limits service provision, whilst flooded road networks and short emergency responder-timeframes decrease accessibility, service area and population coverage.</p><p>Therefore, an important step towards resolving these social inequalities and emergency responder strains from flooding is to understand the geographic, spatial, temporal, and demographic distributions of vulnerability. This will be undertaken by identifying vulnerability ‘hotspots’ of global populations in terms of emergency service provision during times of flooding of various magnitude under climate change.</p><p>The research will use Big Geographical and Climate Data and a ‘hotspot’ approach to investigate how the global extent and distribution of flood hazards and vulnerable population hotspots vary spatially and temporally, based on differing global fluvial and coastal flooding (at 10-year and 100-year return periods), and present and future flood conditions (present-day and 2050, under RCP 4.5 and RCP8.5 climate scenarios). Network Analysis modelling will be used to investigate the impact of this on Ambulance and Fire & Rescue accessibility from service stations to vulnerable populations based on restrictions of road network inundation and emergency response-times (8-, 15-, and 60- minutes). Finally, comparisons will be made to highlight how vulnerability and emergency service accessibility compares demographically between different vulnerable population groups.</p><p>It is expected that there will be significant geographical and temporal differences in social vulnerability and emergency service provision between countries and regions globally. Although to what extent is currently unknown. Ultimately, the framework of this research may provide real-world applications for informing strategic planning of emergency response operations and resolving social inequalities to flood hazards. These applications could include the production of more detailed flood hazard and evacuation maps that highlight vulnerability hotspots, the prioritisation of vulnerable population groups in emergency response plans to minimise geographic and population disparities of flood injuries and fatalities, and the allocation of emergency service hubs in regions of high-vulnerability but low-emergency response provision.</p>

scholarly journals Fixation Differences in Visual Search of Accident Scenes by Novices and Expert Emergency Responders

2018 ◽  
Vol 60 (8) ◽  
pp. 1219-1227 ◽  
Author(s):  
Erik G. Prytz ◽  
Caroline Norén ◽  
Carl-Oscar Jonson
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Emergency Response ◽  
Emergency Service ◽  
Search Behavior ◽  
Information Reduction ◽  
Emergency Responders ◽  
Fixation Durations ◽  
Expert Novice ◽  
And Control

Objective: We sought to investigate whether expert–novice differences in visual search behavior found in other domains also apply to accident scenes and the emergency response domain. Background: Emergency service professionals typically arrive at accidents only after being dispatched when a civilian witness has called an emergency dispatch number. Differences in visual search behavior between the civilian witness (usually a novice in terms of emergency response) and the professional first responders (experts at emergency response) could thus result in the experts being given insufficient or erroneous information, which would lead them to arrive unprepared for the actual situation. Method: A between-subjects, controlled eye-tracking experiment with 20 novices and 17 experts (rescue and ambulance service personnel) was conducted to explore expert–novice differences in visual search of accident and control images. Results: The results showed that the experts spent more time looking at task-relevant areas of the accident images than novices did, as predicted by the information reduction hypothesis. The longer time was due to longer fixation durations rather than a larger fixation count. Conclusion: Expert–novice differences in visual search are present in the emergency domain. Given that this domain is essential to saving lives and also relies heavily on novices as the first link in the chain of response, such differences deserve further exploration. Application: Visual search behavior from experts can be used for training purposes. Eye-tracking studies of novices can be used to inform the design of emergency dispatch interviews.

scholarly journals Framing Improvement of Emergency Services RSKJ Soeprapto Hospital with Lean and WAM Modification

2021 ◽  
Vol 2 (3) ◽  
pp. 608-620
Author(s):  
Erlina Puspitaloka Mahadewi ◽  
Ade Heryana ◽  
Fori Yumita ◽  
Mulyo Wiharto ◽  
Lia Amalia
Keyword(s):  
Emergency Service ◽  
Emergency Services ◽  
Secondary Data ◽  
Hospital Staff ◽  
Healthcare Services ◽  
Assessment Model ◽  
Service Process ◽  
Service Flow ◽  
Human Skills ◽  
Improve Hospital

The present study reports the first comprehensive research on covid19 emergency services model. Healthcare services inside hospitals during pandemic can apply the Lean Hospital and Waste Assessment Model (WAM) modification, which is a new method that can be used to identify waste in the hospital service process flow and operational of emergency service. The purpose of this study is to provide recommendations for improving emergency services in the covid19 era. The method used in this research is a descriptive qualitative analysis carried out through observing the service flow of patients who will be hospitalized from the emergency, confirming the service flow by in-depth interviews and looking at secondary data and giving a questionnaire on a modification of eight waste relationship at 15 persons expert who understands the emergency service process. The results showed that the critical waste of emergency services at RSKJ Soeprapto hospital is a waste of human skills of 17.5%. The reasons for the emergence above are because the covid19 team has not yet been formed, the absence of special officers to conduct primary triage before the patient enters the emergency unit, and many officers who do not understand the flow of emergency services in the covid19 pandemic era. In order to improve hospital services in the future, it is necessary to form a covid19 team, to develop a standard emergency service guide, to conduct continuous socialization to all the hospital staff through education and training programs, which are recommendations for improving emergency services at RSKJ Soeprapto Hospital Bengkulu in the pandemic era and new normal preparation.

scholarly journals Estimating Added Values of the Integrated Emergency Response System for Airport Accident: Improved Responsiveness and Increased Service Capacity

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Ying Guo ◽  
Shen Zhang ◽  
Zhen Zhang ◽  
Qingchun Meng
Keyword(s):  
Response Time ◽  
Emergency Response ◽  
Emergency Service ◽  
Civil Aviation ◽  
Variation Method ◽  
Service Capacity ◽  
Welfare Gains ◽  
Compensating Variation ◽  
Medical Department ◽  
Emergency System

This study presents a framework for estimating the value of response time and quantifying the economic impacts of improved responsiveness and increased service capacity in emergency response systems. In these systems, the value of response time, defined as the number of casualties rescued, forms the basis for understanding the value proposition of the emergency system. Efficiency gains from improved responsiveness are calculated by the difference in the time value function, considering the medical department emergency system as a benchmark. Based on the evaluating systems for welfare gains from price changes, this study will be the first of its kind to adopt the compensating variation method to deal with welfare gains from increased emergency service capacity, while the issue of number of casualties rescued forms the log-linear function of emergency service capacity and supply capacity. Two civil aviation accidents are empirically estimated, illustrating our approaches with specific civil aviation accident cases and examining how other parameters affect improved performance from the responsiveness and welfare arising from service capacity.

scholarly journals EXTENDING INDOOR OPEN STREET MAPPING ENVIRONMENTS TO NAVIGABLE 3D CITYGML BUILDING MODELS: EMERGENCY RESPONSE ASSESSMENT

2018 ◽  
Vol XLII-4 ◽  
pp. 161-168 ◽  
Author(s):  
F. Fadli ◽  
N. Kutty ◽  
Z. Wang ◽  
S. Zlatanova ◽  
L. Mahdjoubi ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Emergency Response ◽  
Computer Aided Design ◽  
3D Visualization ◽  
Response Assessment ◽  
Emergency Evacuation ◽  
Indoor Navigation ◽  
Generation Process ◽  
High Rise ◽  
Building Models

<p><strong>Abstract.</strong> Disaster scenarios in high-rise buildings such as the Address Downtown, Dubai or Grenfell Tower, London have showed ones again the importance of data information availability for emergency management in buildings. 3D visualization of indoor routing services using extensive and high quality geographic data sources is essential for spatial analysis in emergency responses. In order to facilitate emergency response simulations, a combination of geometrical, graphical and semantic information is essential. Successful and efficient emergency evacuation responses is facilitated by the availability of both digital static and dynamic information of the incident site. However, interruptions may be encountered with the availability of dynamic data, where static data developed using indoor navigation ontologies serve as an alternative to inform the first responders. Thus, it is necessary to obtain a firm, interactive and quasi-realistic virtual simulation of the building environments. Voxelized CityGML models imported into voxel based hazard simulation systems fits well into the simulation algorithm requirements (Groger et al., 2008; Moreno et.al, 2010). Therefore, the research investigates an alternative platform for generating CityGML spatial analysis models. LoD4 models are developed using Computer Aided Design (Auto CAD) 2D files, crowdsourced geo-data (OpenStreetMap) and open source tools. A combination of software packages is utilized for 3D reconstruction of building interiors. This process is achieved through a Java application developed by researchers at Heidelberg University. Conclusions drawn from the research validate the 3D CityGML model generation process as an international standard to effectively enhance the outcome of emergency evacuation simulations of high rise buildings.</p>

Research on Compensation Correction of Leak Impact Factor of Kent Index Method

2014 ◽  
Vol 509 ◽  
pp. 105-110
Author(s):  
Jin Xu ◽  
Bi Lin Shao ◽  
Qiong Wu
Keyword(s):  
Risk Assessment ◽  
Impact Factor ◽  
Emergency Response ◽  
Failure Modes ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Index Method ◽  
Correction Model ◽  
Modified Model ◽  
Basic Model

Aiming at the existing defects of pipeline risk assessment model of Kent index method on spill score,population score and leak impact factor, five compensation coefficient are put forward in pipeline risk assessment basic model qualitatively,of which include past failure modes,emergency response, sensitive environment,high value areas and support/oppose of nearby residents.Thus,the compensation correction model on leak impact factor of pipeline risk assessment are established.This model enhances the accuracy for the work of pipeline risk assessment.Finally,the verification analysis showed that the modified model can objectively reflect the degree of pipeline risk.

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