• Title/Summary/Keyword: emergency response time

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Performance Evaluation of Smart Intersections for Emergency Response Time based on Integration of Geospatial and Incident Data

  • Oh, Heung Jin;Ashuri, Baabak
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.945-951
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    • 2022
  • The major objective of this research is to evaluate performance of improved intersections for response time to emergency vehicle preemption. Smart technologies have been introduced to civil infrastructure systems for resilient communities. The technologies need to evaluate their effectiveness and feasibility to confirm their introduction. This research focuses on the performance of emergency vehicle preemption, represented by response time, when smart intersections are introduced in a community. The response time is determined by not only intersections but also a number of factors such as traffic, distance, road conditions, and incident types. However, the evaluation of emergency response has often ignored factors related to emergency vehicle routes. In this respect, this research synthetically analyzes geospatial and incident data using each route of emergency vehicle and conducts before-and-after evaluations. The changes in performance are analyzed by the impact of smart intersections on response time through Bayesian regression models. The result provides measures of the project's performance. This study will contribute to the body of knowledge on modeling the impacts of technology application and integrating heterogeneous data sets. It will provide a way to confirm and prove the effectiveness of introducing smart technologies to our communities.

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A Convergence study for the Shorten of Pre-hospital Emergency Medical Response Time in Vehicle Accident (차량 사고에서 병원 전 응급의료 대응시간 단축을 위한 융합연구)

  • Jeon, Hyeok-Jin
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.111-117
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    • 2019
  • The purpose of this study was a convergence study to find a way to shorten pre-hospital emergency medical response time in vehicle accident. This study analyzed the factors of hospital emergency response time by utilizing weather, road type, accident type, and rescue response to 353 vehicle passengers who visited the three emergency medical centers from January 1, 2011 to July 30, 2016 in Korea In-Depth Accident Study. The results of the study showed that the highway used the most time to prehospital emergency medical response time and was a factor affecting the overall time (${\beta}=.543$, p<.001). In order to shorten the emergency medical response time in highway, the operation of emergency services on the highway, the active use of emergency turn road and the automatic emergency rescue service with individual devices were proposed.

A Method on a Proper Time Evaluation for Railway Emergency Response Staffs using the Therblig Analysis (Therblig 기법을 활용한 철도비상대응직원의 적정 비상대응조치 시간 도출 방안)

  • Park, Min-Kyu;Kim, Si-Gon;Sim, Young-Rok
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.689-695
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    • 2007
  • This Paper introduced a proper time evaluation for railway emergency response staffs using the Therblig Analysis. We defines what Activities the emergency response staffs should take when the fire occurs on the railway. This has been possible through the development of the scenario that is focused on the fire accident and it also has been driven to minimize the spread and damage of the accident. Gilbreth's Therblig Analysis has been used here to derive the reasonable time that would take for the emergency response staffs to respond to the fire accident on the railway system. We developed Emergency Response Scenario against Accidents and defined the Activity of the main Action for Emergency Response staffs.

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Spatiotemporal Routing Analysis for Emergency Response in Indoor Space

  • Lee, Jiyeong;Kwan, Mei-Po
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.32 no.6
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    • pp.637-650
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    • 2014
  • Geospatial research on emergency response in multi-level micro-spatial environments (e.g., multi-story buildings) that aims at understanding and analyzing human movements at the micro level has increased considerably since 9/11. Past research has shown that reducing the time rescuers needed to reach a disaster site within a building (e.g., a particular room) can have a significant impact on evacuation and rescue outcomes in this kind of disaster situations. With the purpose developing emergency response systems that are capable of using complex real-time geospatial information to generate fast-changing scenarios, this study develops a Spatiotemporal Optimal Route Algorithm (SORA) for guiding rescuers to move quickly from various entrances of a building to the disaster site (room) within the building. It identifies the optimal route and building evacuation bottlenecks within the network in real-time emergency situations. It is integrated with a Ubiquitous Sensor Network (USN) based tracking system in order to monitor dynamic geospatial entities, including the dynamic capacities and flow rates of hallways per time period. Because of the limited scope of this study, the simulated data were used to implement the SORA and evaluate its effectiveness for performing 3D topological analysis. The study shows that capabilities to take into account detailed dynamic geospatial data about emergency situations, including changes in evacuation status over time, are essential for emergency response systems.

The Research on the Real-time Emergency Response Plan for the Company based on Consequence Analysis for Chemical Accidents (화학사고 발생 시 피해예측 모델과 연계된 사업장의 실시간 비상대응 체계에 관한 연구)

  • Jun Ho Ha;Chang Jun Lee
    • Journal of the Korean Society of Safety
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    • v.39 no.2
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    • pp.28-37
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    • 2024
  • The recent surge in the production and handling of hazardous materials in Korea necessitates developing and implementing robust emergency response plans. These plans are crucial in safeguarding the well-being of workers and residents in the event of an incident. The consequence analysis methodology outlined in the KOSHA guidelines provides a foundation for designing emergency response plans in the event of chemical accidents. However, the consequence analysis is evaluated based on assumed accident cases or worst-case scenarios. Consequently, the emergency response plan based on the consequence analysis may overestimate the damage area, complicating rescue efforts and unnecessarily increasing costs. More information and parameters become available after an accident, enabling more accurate consequence analysis. This implies that the results of consequence analysis based on this detailed information provide more realistic results than those based on assumed accidents. This study attempts to optimize the resource allocation and cost-effectiveness of emergency response plans for chemical accidents. Existing procedures and manuals are revised to elucidate the proposed model and conduct real-time consequence analysis. The existing emergency response plan is compared to verify the proposed model's efficacy. The obtained results indicate that the proposed model can exhibit better performance.

Analysis of response time for patient non-transport by 119 ambulance services (119 구급 서비스의 미이송 시간 분석)

  • Kang, Kyung-Hee;Han, Jin-Ok
    • The Korean Journal of Emergency Medical Services
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    • v.22 no.3
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    • pp.177-187
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    • 2018
  • Purpose: The purpose of the study was to investigate the causes of non-transport in 119 ambulance services and to describe the difference in response time according to the reason for non-transport. Methods: This study analyzed 42,415 non-transport cases out of 123,158 cases using prehospital care reports in a metropolitan city. The Kruskal-Wallis test and the Wilcoxon-Mann-Whitney test were used to 6,857 cases for which time was recorded. Results: Non-transportation in 20${\bigcirc}{\bigcirc}$ comprised 33.1% of all ambulance services. The reason for non-transport were other reasons (25.5%), cancellation (23.8%), and moving to other vehicles (21.7%). There were differences in ambulance service times according to the reasons for non-transport. The activation interval was the longest (2.68 minutes) in the absence of the patient, and the response interval was the shortest (4.96 minutes) among the cancelled case. The total interval was the shortest time (21.97 minutes) in the cancellation cases and the longest time among the death cases (32.23 minutes). Conclusion: It is important to suggest the direction of development of emergency services by identifying the reasons for non-transport by ambulance services and describing the response time according to the reason for non-transport.

Methodology of Emergency Power System by the Minimum Response Time Based on IEC Standards (IEC규격을 부합화한 최소응답시간에 따른 비상전원시스템의 구축방안)

  • Son, Young-Joo
    • Fire Science and Engineering
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    • v.25 no.2
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    • pp.23-32
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    • 2011
  • When the power outage occurred, the emergency power equipments are demanded instead of disaster prevention and security electric power. However, in domestic area, the rules and regulations of emergency power equipment are different so we use different terminologies. Thus, this paper proposes differences of rules and regulations of emergency power equipment between domestic and foreign countries about terms and concepts. Also, we found some problems of the emergency power equipment. To solve these problems, according to the minimum response time in IEC standards, we suggest five emergency power systems and fire load classification in this paper.

Evaluation of patient transportation and response intervals among emergency medical squads (구급대 환자이송과 반응시간의 평가)

  • Park, Sang-Kyu;Uhm, Tai-Hwan
    • The Korean Journal of Emergency Medical Services
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    • v.22 no.3
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    • pp.47-54
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    • 2018
  • Purpose: The purpose of this study was to present evidence for quality management based on analysis of patient transportation and response intervals among emergency medical squads. Methods: The chi-square test was used to determine whether mental status and patient assessment affected direct medical control and hospital destination. One way analysis of variance was used to compare response intervals depending on mental status and patient assessment using data drawn from 1172 prehospital care reports. Results: There was a statistically significant relationship between mental status and direct medical control (p<.001); there was a statistically significant relationship between patient assessment and hospital destination (p=.011). However, there was no statistically significant relationship between mental status and hospital destination. The interval from arrival at the patient's side to departure from the scene showed a statistically significant difference (p<.001, p<.001), however, it took the longest time (16.8 minutes) in unresponsive patients. It showed a statistically significant difference (p<.001) in the interval from arrival at patient's side to departure from the scene depending on patient assessment; however, it took the longest time (9.6 minutes) in emergency patients. Conclusion: There was call for direct medical control based on patient assessment; however, patient transportation and response intervals were not appropriate.

A Stock Pre-positioning Model to Maximize the Total Expected Relief Demand of Disaster Areas

  • Lee, Woon-Seek;Kim, Byung Soo;Opit, Prudensy Febreine
    • Industrial Engineering and Management Systems
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    • v.13 no.3
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    • pp.297-303
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    • 2014
  • Stock pre-positioning is one of the most important decisions for preparing the stage of emergency logistics planning. In this paper, a mixed integer model for stock pre-positioning is derived to support an emergency disaster relief response against the event of earthquake. A maximum response time limit, budget availability, multiple item types, and capacity restrictions are considered. In the model, the decision of the distribution centers to cover a disaster area and the amount of supplies to be stocked in each distribution center are simultaneously determined to maximize the total expected relief demand of the disaster areas covered by the existing distribution centers. The proposed model is applied to a real case with 33 disaster areas and 16 distribution centers in Indonesia. Several sensitivity analyses are conducted to estimate the fluctuation on the emergency stock pre-positioning planning by changing the maximum response time and budgets.

Factors Affecting Emergency Response Ability of Caregivers (요양보호사의 응급상황대처능력 영향 요인)

  • Kim, Soon Ock
    • Journal of Korean Public Health Nursing
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    • v.36 no.1
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    • pp.59-74
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    • 2022
  • Purpose: This study aimed to identify the factors affecting the emergency response ability to develop an education program to strengthen the emergency response ability of caregivers having the highest probability of discovering emergency situations. Methods: This study is a descriptive research study conducted by 204 caregivers working in elderly care facilities and home care centers located in one area. The collected data were analyzed by independent t-test, one-way analysis of variance (ANOVA), Pearson's correlation, and multiple linear regression using the Statistical Package for the Social Sciences (SPSS) 25.0 statistical program. Results: First aid knowledge was related to work time (F=3.52, p=.008), number of care people (F=2.58, p=.038), workplace (F=6.76, p=.001), and self-efficacy (F=3.70, p=.026), and the ability to cope with emergency situations showed a statistically significant difference in education level (F=3.58, p=.015). There was a positive correlation between self-efficacy and emergency response ability (r=.179, p<.05), and the factors affecting emergency response ability were education level (β=-.164, p=.050), workplace (β=.290, p=.023), and self-efficacy (β=.103, p=.022). Conclusion : Factors influencing the improvement of caregivers' ability to cope with emergency situations, workplace, education level, and self-efficacy were found. Thus, it is suggested to develop and apply an emergency education program to increase self-efficacy and consider the workplace and educational level.