Relevant bibliographies by topics / Evacuation analysi

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Evacuation analysi'

Author: Grafiati
Published: 1 April 2023

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Journal articles on the topic "Evacuation analysi"

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Sujatmiko, K. A., and Y. Okumura. "Numerical Analysis of Evacuation Start in Pangandaran." IOP Conference Series: Earth and Environmental Science 925, no. 1 (November 1, 2021): 012044. http://dx.doi.org/10.1088/1755-1315/925/1/012044.

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Abstract Tsunami evacuations plan should consider the behavior of local people. In this study tsunami evacuation start was analyzed using tsunami evacuation simulation consist of evacuee generation and evacuee behavior model. Pangandaran west beach was selected as the target area due to its popularity as a tourist spot and fishery activities in West Java. Evacuation simulations were conducted using 500 evacuations agents with tsunami shelter and grand mosques as goal for the safer place. A total of six evacuation scenarios were made using a different set of evacuation triggers parameter value with the combination of influence weight and effective range. The simulation result indicates that the influence weight which made 57% of people start evacuation immediately after the earthquake happened showed an instantaneous evacuation. Simulation result that was using lower influence weight and lower exposure range showed a more gradual tsunami evacuation. The simulation gave promising results that Pangandaran people could be safely evacuating if they raise their awareness and preparedness. The low-cost simulations that were used in this study provide an insight into the behaviors of Indonesians during disaster evacuation and might use as support for tsunami evacuation planning. However, to produce more satisfactory result we need to conduct field survey and tsunami drill to gain more information of people behavior during tsunami evacuation.
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Wang, Yuchen, Jianxiao Ma, Yuhang Liu, Yingjia Bai, and Le Xu. "Optimal exit choice during highway tunnel evacuations based on the fire locations." PLOS ONE 16, no. 8 (August 20, 2021): e0256523. http://dx.doi.org/10.1371/journal.pone.0256523.

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In the case of a fire, the choice of exit in the highway tunnel is strictly limited by fire location, which seriously affects the evacuation time. A spontaneous or disorderly exit choice might result in a decreased evacuation efficiency and utilization rate of exits. In this paper, we propose a strategy to obtain the optimal exit choice based on fire location during highway tunnel evacuations. In our strategy, first, the vehicle distributions and locations of evacuating occupants are determined in the traffic simulation program VISSIM. The evacuation simulation software BuildingEXODUS is employed to obtain the corresponding parameters of the evacuation process and analyze the impacts of different fire locations on the evacuation time. During the analysis, the optimal productivity statistics (OPS) is selected as the evaluation index. Then, the feature points of the crowding occupants are captured by the fuzzy c-means (FCM) cluster algorithm. Next, based on the feature points, the relationship between the location of the fire and boundary of the optimal exit choice under the optimal OPS is obtained through the polynomial regression model. It is found that the R-squared(R2) and sum of squares for error (SSE) of the polynomial regression model, reflecting the accuracy estimation, are 98.02% and 2.79×10−4, respectively. Moreover, different fire locations impact the evacuation time of tunnel entrance and evacuation passageway. This paper shows that the location of the fire and boundary of optimal exit choice have a negative linear correlation. Taking the fire 110 m away from the evacuation passageway as an example, the OPS of our strategy can be decreased by 35.6% when compared with no strategies. Our proposed strategy could be applied to determine the location of variable evacuation signs to help evacuating occupants make optimal exit choices.
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Kulkarni, Prathit A., Hui Gu, Stella Tsai, Marian Passannante, Soyeon Kim, Pauline A. Thomas, Christina G. Tan, and Amy L. Davidow. "Evacuations as a Result of Hurricane Sandy: Analysis of the 2014 New Jersey Behavioral Risk Factor Survey." Disaster Medicine and Public Health Preparedness 11, no. 6 (June 29, 2017): 720–28. http://dx.doi.org/10.1017/dmp.2017.21.

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AbstractObjectiveWe characterized evacuations related to Hurricane Sandy, which made landfall in New Jersey on October 29, 2012.MethodsWe analyzed data from the 2014 New Jersey Behavioral Risk Factor Survey. The proportion of respondents reporting evacuation was used to estimate the number of New Jersey adults who evacuated. We determined evacuation rates in heavily impacted and less-impacted municipalities, as well as evacuation rates for municipalities under and not under mandatory evacuation orders. We tested associations between demographic and health factors, such as certain chronic health conditions, and evacuation.ResultsAmong respondents, 12.7% (95% CI: 11.8%-13.6%) reported evacuating, corresponding to approximately 880,000 adults. In heavily impacted municipalities, 17.0% (95% CI: 15.2%-18.7%) evacuated, compared with 10.1% (95% CI: 9.0%-11.2%) in less-impacted municipalities. In municipalities under mandatory evacuation orders, 42.5% (95% CI: 35.1%-49.8%) evacuated, compared with 11.8% (95% CI: 10.9%-12.9%) in municipalities not under mandatory orders. Female gender (odds ratio [OR]: 1.36; 95% CI: 1.14-1.64), unmarried status (OR: 1.22; 95% CI: 1.02-1.46), shorter length of residence (OR: 1.28; 95% CI: 1.03-1.60), and living in a heavily impacted municipality (OR: 1.84; 95% CI: 1.54-2.20) were significantly associated with evacuation. History of stroke (OR: 1.61; 95% CI: 1.02-2.53) was the only chronic condition associated with evacuation.ConclusionsApproximately 880,000 New Jersey adults evacuated because of Hurricane Sandy. Those in heavily impacted municipalities and municipalities under mandatory evacuation orders had higher evacuation rates; however, still fewer than half evacuated. These findings can be used for future disaster planning. (Disaster Med Public Health Preparedness. 2017;11:720–728).
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Lewis, PhD, Carol Abel, Sandra Onyejekwe, MS, Garlin Wynn, MS, and Brandon Mosley, MS. "Options for improving evacuation: Investigating an unconventional strategy and expanding route options using TRansportation ANalysis and SIMulation System." Journal of Emergency Management 13, no. 2 (March 1, 2015): 173. http://dx.doi.org/10.5055/jem.2015.0229.

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Various agencies including state departments of transportation, emergency management offices, a municipal works agency, or a highway patrol agency may prepare evacuation plans. Storm strength and landfall predictions determine procedures and strategies. Studies have been conducted that examined various methods considering evacuees’ behaviors, traffic control, safety, and preferential routing. The occasions when a hurricane is imminent require residents to make a choice between sheltering-in-place or evacuating. Tremendous growth is anticipated in many US coastal communities and that will place greater pressure on evacuation strategies in future years. Given the inevitability of future hurricane evacuations and the intensive growth projections for US coastal areas, this research examines evacuation options with a focus on the Houston-Galveston region. The research examines two scenarios using the TRansportation ANalysis and SIMulation System simulation model which relies on a GIS base. Study results showed that both scenarios perform well as alternative options for inclusion in regional planning. It is recommended that these two scenarios be included in the array of responses available for decision makers depending on the myriad of variables—citizen response, congestion levels on the roadways and location, and prediction of an impending storm. The options may be applied independently or in concert with other strategies.
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Kim, Minjun, and Gi-Hyoug Cho. "Influence of Evacuation Policy on Clearance Time under Large-Scale Chemical Accident: An Agent-Based Modeling." International Journal of Environmental Research and Public Health 17, no. 24 (December 16, 2020): 9442. http://dx.doi.org/10.3390/ijerph17249442.

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Large-scale chemical accidents that occur near areas with large populations can cause significant damage not only to employees in a workplace but also to residents near the accident site. Despite the increasing frequency and severity of chemical accidents, few researchers have argued for the necessity of developing scenarios and simulation models for these accidents. Combining the TRANSIMS (Transportation Analysis and Simulation System) agent-based model with the ALOHA (Areal Location of Hazardous Atmospheres) dispersion model, this study aims to develop a modeling framework for simulating emergency evacuations in response to large-scale chemical accidents. The baseline accident scenario assumed the simultaneous leakage of toxic chemicals from industrial complexes near residential areas. The ALOHA model results showed that approximately 60% of residents in the scenario’s city were required to evacuate their homes. The majority of evacuees completed their evacuations within 5 h in the baseline scenario (evacuating maximum number of private vehicles without any intervention), while the distribution of the population and street network density caused geographical variability in clearance time. Clearance time can be significantly reduced by changing both the evacuees’ behaviors and the evacuation policy, which suggests the necessity for proper public intervention when the mass evacuation of residents is required due to chemical accidents.
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Wang, Ding, Kaan Ozbay, and Zilin Bian. "Modeling and Analysis of Optimal Strategies for Leveraging Ride-Sourcing Services in Hurricane Evacuation." Sustainability 13, no. 8 (April 15, 2021): 4444. http://dx.doi.org/10.3390/su13084444.

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In many large-scale evacuations, public agencies often have limited resources to evacuate all citizens, especially vulnerable populations such as the elderly and disabled people, and the demand for additional transportation means for evacuation can be high. The recent development of ride-sourcing companies can be leveraged in evacuations as an additional and important resource in future evacuation planning. In contrast to public transit, the availability of ride-sourcing drivers is highly dependent on the price, since surge pricing will occur when the demand is high and the supply is low. The key challenge is thus to find the balance between evacuation demand and driver supply. Based on the two-sided market theory, we propose mathematical modeling and analysis strategies that can help balance demand and supply through a pricing mechanism designed for ride-sourcing services in evacuation. A subsidy is considered in the model such that lower-income and vulnerable individuals could benefit from ride-sourcing services. A hypothetical hurricane evacuation scenario in New York City in the case study showed the feasibility of the proposed method and the applicability of subsidies for ride-sourcing services in evacuation. The methodology and results given in this research can provide useful insights for modeling on-demand ride-sourcing for future evacuation planning.
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Ni, Qingbiao, and Manuel D. Rossetti. "Simulation Evacuation Modeling of A Commercial Shopping District to Safe Zones." International Journal of Mass Emergencies & Disasters 31, no. 1 (March 2013): 38–59. http://dx.doi.org/10.1177/028072701303100104.

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Commercial shopping districts offer challenges for emergency planners to plan for the evacuation of short-notice emergency events. This paper illustrates a simulation analysis of the evacuation a large commercial shopping district, which focuses on street and parking lot vehicle traffic. Microscopic simulation is used to track the behaviors of vehicles evacuating from parking lots to safe zones. Evacuation scenarios investigate evacuation strategies by varying factors involving the occupancy rate of parking lots, inbound traffic control, and destination assignment policy. The performance of the evacuating vehicles is measured by an evacuation risk profile including the most problematic parking lots in terms of evacuation time. A trade-off analysis illustrates the effectiveness of the evacuation strategies in terms of costs, time, and risk. The simulation results indicate that an optimized destination assignment policy can alleviate traffic congestion and reduce total evacuation time.
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Kim, Imgyu, Hyuncheol Kim, and Soonhung Han. "An Evacuation Simulation for Hazard Analysis of Isolation at Sea during Passenger Ship Heeling." International Journal of Environmental Research and Public Health 17, no. 24 (December 15, 2020): 9393. http://dx.doi.org/10.3390/ijerph17249393.

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The Crisis Management Manual is essential for safe and rapid evacuation in the event of an accident. However, the disaster response measures in the current ship evacuation manual are not systematic and are simple and impractical. In particular, the current instructions when the ship is heeling call for evacuation to the highest deck, in the opposite direction. This advice is dangerous, however, because it is isolated to a specific space, due to the walking limit angle according to the angle of heel during evacuation. This study focuses on the MV Sewol ferry accident on 16 April 2014, to evaluate the risk of isolation at sea when evacuating to the highest deck opposite in the direction of heeling when the ship was sinking. According to the initial angle of heel and various angular velocities, hazard maps were created for each safety factor to predict the risks for each situation, by performing a comprehensive evaluation of the safe and dangerous situations when evacuating to the highest deck. The problems and limitations of the current evacuation manuals and systems were identified, and the necessity of a new evacuation solution was presented.
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Chu, Hao, Jia Yu, Jiahong Wen, Min Yi, and Yun Chen. "Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities." Sustainability 11, no. 3 (February 2, 2019): 795. http://dx.doi.org/10.3390/su11030795.

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Timely and secure evacuation of residents in communities is of great importance during unexpected disasters or emergency events. This study proposes a framework of evacuation simulation for optimizing emergency management in urban residential communities. Compared to traditional methods, the advantage of our framework lies in three aspects: (1) The method highlights easy-crowded areas in both indoor and outdoor evacuations. (2) Family behaviors are considered and implemented in evacuations. (3) Detailed measures on management optimization are spatially mapped based on a multi-level analysis and the comparison of evacuation simulation results in different scenarios. A case study in Changhongfang residential community, Xuhui District, Shanghai, China, was conducted to demonstrate the method feasibility. Simulation results have exposed potential evacuation problems in the community. A series of detailed recommended measures have been generated. These measures can help to create better emergency management for the community.
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Zhao, Pengfei, Lishan Sun, Liya Yao, Li Cui, and Kaili Zhang. "Analysis of Impact of Group Walking Patterns on Pedestrian Evacuation." Transportation Research Record: Journal of the Transportation Research Board 2604, no. 1 (January 2017): 71–81. http://dx.doi.org/10.3141/2604-09.

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An understanding of the walking patterns of groups of pedestrians in an evacuation is critical for the establishment of policies, procedures, and organizational structures to respond effectively to emergencies. Groups of pedestrians compose a crowd in which pedestrian motions are significantly constrained to maintain cohesion. On the basis of behavior theory, this paper proposes a multiagent model for the simulation of crowds of pedestrians. The main innovative aspect of this model is the genuine representation of the patterns of movement of groups of pedestrians. Patterns of movement consisting of the line-abreast pattern, the chain pattern, and the mixed pattern were investigated, and their influences on evacuations were evaluated quantitatively by taking into account the discrepant densities, disparate distributions of the proportions of pedestrian groups of different sizes, and heterogeneous velocities of groups of pedestrians. The simulation results show that the walking patterns of groups of pedestrians have a significant influence on the dynamics of pedestrian evacuation. The chain pattern was safer when the time of evacuation under high-density conditions was considered, and the mixed pattern had a better performance under moderate-density conditions. Moreover, the influence of patterns of movement was distinct with different distributions of pedestrian groups of different sizes; the chain pattern had the highest evacuation efficiency among the three patterns of pedestrian movement. In addition, a homogeneous velocity condition had a higher evacuation efficiency than a heterogeneous velocity condition. Thus, a chain pattern with a homogeneous velocity is recommended as the optimal pattern of movement in pedestrian evacuations when the safety and efficiency of plans and designs for the evacuation of pedestrian traffic with the different patterns of movement are considered.
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Dissertations / Theses on the topic "Evacuation analysi"

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Poudel, Minesh. "Aircraft emergency evacuation : analysis, modelling and simulation." Toulouse 2, 2008. http://www.theses.fr/2008TOU20026.

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Cette thèse s’intéresse à l’évacuation d’urgence des avions et plus particulièrement à la conception d’un simulateur numérique capable de représenter de façon réaliste ce processus afin de contribuer à la certification de configurations et de procédures d’évacuation d’urgence pour les avions gros porteurs. Cette thèse est composée de deux grandes parties. Dans la première partie, il s’est agi d’identifier le problème, de réaliser un état de l’art et de caractériser le comportement des passagers pendant l’évacuation. Dans la deuxième partie de la thèse il s’est agi de concevoir les élément constitutifs d’un simulateur d’évacuation d’urgence des aéronefs. Après avoir analysé les modèles existants et revu les méthodes de modélisation des systèmes dynamiques cellulaires, le schéma conceptuel d’un tel simulateur a été développé. Le simulateur d’évacuation d’urgence a été conçu via UML en langage Java. En conclusion, les perspectives concernant la poursuite de cette étude sont présentées
This thesis is about aircraft emergency evacuation and its principal objective is to establish a computational model able to simulate realistically it. This will contribute to the certification process of new aircraft emergency evacuation layouts and egress procedures for large capacity airliners. This thesis is composed of two main parts. In the first one, the main problem issues are identified, a state of the art in emergency evacuation from aircraft is realized and human behaviours during such an event are described. In the second part of this work, the elements of the emergency evacuation model are identified. After analysing existing models and different models of dynamic cellular systems, the conceptual model of this simulator is proposed. Its framework has been designed using UML and the routines are written in Java. Finally future research directions are given
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Shen, Tzu-Sheng. "Building planning evaluations for emergency evacuation." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0503103-114955/.

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Lu, YuanYuan. "An Analysis of Evacuation Behavior During Hurricane Ike." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2179.

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Hurricanes have been considered one of the most costly disasters in United State, which lead to both economic loss and human fatalities. Therefore, understanding the characteristics of those who evacuated and of those who did not evacuate have been principal focus of some previous researches related to hurricane evacuation behavior. This research presents two sets of decision-making models for analyzing hurricane evacuation behavior, using two statistical methods: standard logistic model and mixed logistic model.The receipt of evacuation order, elevation, expenditure, the presence of children and elderly people, ownership of a house, and receipt of hurricane warning are found to be extremely important in evacuation decision making. When the mixed logistic model is applied, the rate of concern about hurricane threat is assumed to be random according to normal distribution. Mixed logistic models which account for the heterogeneity of household responses are found to perform better than standard logistic model.
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Lu, Fei, and Yuan Cao. "Three-Dimensional Modeling for Buildings Evacuation Management." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-12622.

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The terrorist attacks on New York City on September 11, 2001 heightened awareness about the need to plan for emergency evacuation measures. As a result, three-Dimensional (3D) city and building models have become an important part of GIS analysis. The technology can be used to plan evacuations in complex indoor environments. This thesis had two main objectives. The first goal was to conduct a 3D network analysis of a building for emergency management, which was based on a 3D model of a building in the city of Gävle, Sweden. This 3D model identifies the shortest path from any room to the defined exit. The second objective was to test the predicted evacuation times with a simulation experiment. The 3D model was built by Google Sketch Pro 8 and the 3D network analysis was mainly conducted in the ESRI’s ArcGIS software. The simulation experiment involved 18 volunteers at the organization Future Position X. The 3D network analysis was based on distance measurements instead of GNSS coordinates. The simulation experiment was conducted in four different situations. Crowding was found to be a critical problem during evacuation. Evacuation speeds varied from normal walking to running. However, crowding always increased the evacuation time and thus would affect the survival rate. Evacuation routes should be distributed differently to reduce this problem. The thesis also identifies other factors to be considered when planning emergency routes and challenges posed by the software at this time.
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Liu, Sirui. "Analysis and Evaluation of Household Pick-up and Gathering Behavior in No-Notice Evacuations." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/27927.

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No-notice incidents occur with no advance notice of time and place. Family members may be separated when a no-notice incident strikes during the daytime. They may seek to gather the household members first and evacuate as a unit, and parents may head in the â wrongâ direction to pick up their children from schools/daycare centers. Many previous studies have acknowledged that such behavior exists but few, if any, have examined it in-depth. Additionally, this behavior has rarely been integrated with transportation simulation models of evacuation conditions. As shown through this work, such omissions generate overly optimistic network performance. Acknowledging the behavior also leads to potential network improvements by moving dependents (people being picked up by other household members) to more accessible locations. This study investigated no-notice evacuation household gathering behavior based on 315 interviews conducted in the Chicago metropolitan area, in which interviewees were asked about their evacuation and logistic decisions. The study analyzed household pick-up and gathering behavior from the interviews, developed models to represent the behavior, and integrated the household behavior models with network simulation modeling to examine the effects of household behaviors on network evacuation performance. Logistic regression models were built to predict the probability that parents retrieve children from school in normal and emergency situations. Gender, car availability, and travel distance (between parents and children) were the main influencing factors to determining child-chauffeuring travel behavior, where gender difference appeared to be most prominent. Women are more responsible for picking up children from school than men, and both women and men are more likely to pick up children under emergency conditions compared to a normal situation. A complex model to integrating human behavior analysis and network assignment modeling was presented in this study. The model follows the traditional four step urban transportation planning process and 1) estimates household gathering chains in an evacuation using a discrete choice (Logit) model and sequences chains following the principle of â nearest firstâ , 2) assigns directions of destinations ensuring the least travel time to safe zones from the last stop within the hot zones, 3) applies decision tree based mode choice models to determine the mode used for evacuation, and 4) uses a dynamic assignment method to assign time-varying demand to the network. The whole framework was tested in the Chicago metropolitan region for two hypothetical incidents, one causing a 5-mile evacuation radius and the other a 25-mile radius evacuation. The results showed that considering household gathering behavior will reduce proportions of evacuees who reach safe zones by a certain time period, while not necessarily deteriorating overall network traffic performance. To facilitate the chain-based evacuations, a relocation model is proposed by moving carless dependents of facilities (such as schools and daycare centers) to more accessible locations for pickup; a linear integer program is presented to determine optimal sites. The optimization model uses estimated travel time obtained from a micro-simulation model and a procedure is presented to iterate between the two models (optimization and simulation). The methodology was applied to a sample network based on Chicago Heights, Illinois. The sample application involved four facilities with 780 dependents and three safe time thresholds, i.e., 30, 45 and 60 minutes. The sample application tested two scenarios - no mode shift and mode shift from car to bus - and introduced average speed and the number of successful evacuations of dependents to evaluate the performance of a relocation strategy. The safe evacuation time threshold was quite important for the relocation strategy; when it is adequate, relocating dependents benefits both those picking up dependents and the other vehicles in the network. This dissertation contributes to the fields of evacuation modeling and transportation engineering, in general. This study investigates child pick-up, spouse gathering, and home gathering behavior during hypothetical incidents, and identifies characteristics associated with household decision makers that influence this behavior. The study also presents a model to integrate the behavior with road network simulation modeling; the combined model could be used to investigate the effects of gathering behavior on network traffic performance and identify potential spatial and temporal bottlenecks. Finally, this work explored a strategy to facilitate household pick up chains by relocating facility dependents to more accessible site. The study can support any city evacuation plan development.
Ph. D.
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Spratt, Scott M. "An economic analysis of the aeromedical evacuation, patient movement items program." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA375883.

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Thesis (M.S. in Management) Naval Postgraduate School, December 1999.
"December 1999". Thesis advisor(s): William R. Gates, Kevin R. Gue. Includes bibliographical references (p. 117-118). Also available online.
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Aljamal, Mohammad Abdulraheem. "Comparison of Microscopic and Mesoscopic Traffic Modeling Tools for Evacuation Analysis." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/79592.

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Evacuation processes can be evaluated using different simulation models. However, recently, microscopic simulation models have become a more popular tool for this purpose. The objectives of this study are to model multiple evacuation scenarios and to compare the INTEGRATION microscopic traffic simulation model against the MATSim mesoscopic model. Given that the demand was the same for both models, the comparison was achieved based on three indicators: estimated evacuation time, average trip duration, and average trip distance. The results show that the estimated evacuation times in both models are close to each other since the Origin-Destination input file has a long tail distribution and so the majority of the evacuation time is associated when travelers evacuate and not the actual evacuation times. However, the evaluation also shows a considerable difference between the two models in the average trip duration. The average trip duration using INTEGRATION increases with increasing traffic demand levels and decreasing roadway capacity. On the other hand, the average trip duration using MATSim decreases with increasing traffic demand and decreasing the roadway capacity. Finally, the average trip distance values were significantly different in both models. The conclusion showed that the INTEGRATION model is more realistic than the MATSim model for evacuation purposes. The study concludes that despite the large execution times of a microscopic traffic simulation, the use of microsimulation is a worthwhile investment.
Master of Science
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Tsai, Wei-Li. "Validation of EvacuatioNZ Model for High-Rise Building Analysis." Thesis, University of Canterbury. Civil Engineering, 2007. http://hdl.handle.net/10092/1201.

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This thesis covers a variety of analytical approaches that validate the use of the EvacuatioNZ model on high-rise building analysis. Through performing a number of sensitivity analyses, several model deficiencies as well as functional limitations were improved upon and part of the model developments are continued based on the previous research done by two Master's students at the University of Canterbury. In this thesis, data from three evacuations were considered for different validating aspects. These evacuations were, a hypothetical 21-storey hotel building located in the United States of America, which was previously simulated using Simulex and EXIT89; a trial evacuation that was carried out in a 13-storey office building located in Canada; and a fire drill conducted at a 21-storey office building located in Australia. Overall, the results indicated that the EvacuatioNZ is able to produce reasonable predictions of the total evacuation time regardless of the number of floors involved. The component testing also showed satisfactory outcomes regarding the involvement of disabled occupants, complexity of node configurations, and different pre-movement time distributions. However, the current model still has a number of limitations that need to be verified and tested. These include the preferred route function and the connection problem for long stairs. Further research should also be carried out on the use of the Evacuation model on other types of building structures so as to increase the confidence level of utilizing the EvacuatioNZ model for general applications.
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Thiele, Tyler A. "A spatio-temporal analysis of pedestrian tsunami evacuation in Long Beach, California." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10111175.

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This thesis presents a general tsunami hazard assessment for the City of Long Beach, California. Although relatively rare, tsunamis from a variety of potential sources threaten Long Beach. An anisotropic, least cost path Geographic Information Systems methodology was utilized to model approximate population exposure numbers within a number of evacuation scenarios. The variables used in the model were evacuation speed and warning time. Potential vertical evacuation sites were deduced and included within the model to compare population exposure numbers with and without the use of a vertical evacuation strategy.

The results in accordance with the literature reviewed suggest that the implementation of a vertical evacuation strategy, in addition to increased community education and preparedness, could dramatically mitigate risk and reduce the population of Long Beach's vulnerability to tsunamis, and that different areas may benefit from varying risk mitigation strategies. The implementation of vertical evacuation sites in the model decreased the population exposed by an average of 79 percent (with a mode of 99 percent).

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Tagliaferri, Anthony Paul. "Use and Comparison of Traffic Simulation Models in the Analysis of Emergency Evacuation Conditions." NCSU, 2005. http://www.lib.ncsu.edu/theses/available/etd-03232005-185245/.

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The evacuation of vulnerable coastal areas in the event of an emergency such as an impending hurricane has become a significant safety issue due to the rapid growth of both permanent and tourist populations in these areas. Highway capacity has often not been upgraded in line with this demand growth. In the case of Hurricane Floyd in 1999, evacuations of areas of North and South Carolina resulted in several highly congested primary highways and, as a result, several states created Lane Reversal Plans for interstates and/or divided highways along evacuation routes. However, these plans were created with little data to rely on as to their efficiency. A major research study was funded by the North Carolina Department of Transportation (NCDOT) to use simulation modeling to investigate the effects of the Interstate 40 Lane Reversal Plan on the evacuation of Wilmington and New Hanover County, North Carolina. In addition to the analysis of the effects of lane reversal, a side-by-side comparison of the CORSIM and VISSIM simulation models was performed on the highway network based on demand estimates provided by a demand study performed for the United States Army Corps of Engineers and the Federal Emergency Management Agency (FEMA). Analysis using CORSIM and VISSIM showed lane reversal to provide considerable capacity increases to traffic attempting to exit New Hanover County via Interstate 40, which had significantly increased throughput and decreased queues within New Hanover County in the event of large-scale evacuations.
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Books on the topic "Evacuation analysi"

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Bretschneider, Sarah. Mathematical Models for Evacuation Planning in Urban Areas. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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McCluskey, Anne. The displacement of Kurdish people in Turkey: An analysis of the background and reason for rural evacuation. Dublin: University College Dublin, 1997.

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McLean, Garnet A. Access-to-egress: A meta-analysis of the factors that control emergency evacuation through the transport airplane type-III overwing exit : final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Kuhn, Gerhard. Use of frequency analysis and the extended streamflow prediction procedure to estimate evacuation dates for the joint-use pool of Pueblo Reservoir, Colorado. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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McLean, Garnet A. Access-to-egress: A meta-analysis of the factors that control emergency evacuation through the transport airplane type-III overwing exit : final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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United States. Office of Aviation Medicine., ed. Access-to-egress: A meta-analysis of the factors that control emergency evacuation through the transport airplane type-III overwing exit : final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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U.S. National Park Service. Bainbridge Island Japanese American Memorial: Final study of alternatives/environmental assessment. Seattle, Wash: Jones & Jones, 2005.

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Kielbasinski, Mr Thomas. Belle Vernon evacuation without charts: Demographic analysis. Independently published, 2019.

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Brodie, Thomas. The Catholic Diaspora—Experiences of Evacuation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827023.003.0005.

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This chapter analyses the impact exerted on the Catholic Church’s pastoral networks in Germany by the mass evacuation of laypeople from bombed urban areas as of 1941. Drawing on the voluminous correspondence of priests and curates despatched from the Rhineland and Westphalia to Saxony, Thuringia, Silesia, Austria, and elsewhere to minister to Catholic evacuees, this chapter provides in-depth analysis of the social and cultural histories of religious practice in wartime Germany. It demonstrates that the evacuation of laypeople—a topic long neglected within histories of wartime religious practice—exerted a profound influence on pastoral practice by the years 1943–5, placing unprecedented pressures on the Catholic clergy of the dioceses central to this study (Aachen, Cologne and Münster). This chapter therefore also casts new light on regionalism in Germany during the Nazi era.
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Weston, Roy F. Identification and Analysis of Factors Affecting Emergency Evacuations. Nuclear Management & Resources, 1989.

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Book chapters on the topic "Evacuation analysi"

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Liddle, J., A. Seyfried, and B. Steffen. "Analysis of Bottleneck Motion Using Voronoi Diagrams." In Pedestrian and Evacuation Dynamics, 833–36. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9725-8_83.

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Hebben, Sven, Patrick Gessler, and Hubert Klüpfel. "Evacuation Analyses for Venues." In Pedestrian and Evacuation Dynamics 2012, 267–74. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02447-9_21.

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Hyun-seung, Hwang, Choi Jun-ho, and Hong Won-hwa. "Calculating and Verifying the Staircase-length for Evacuation Analysis." In Pedestrian and Evacuation Dynamics, 601–11. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9725-8_54.

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Noltenius, Melany, and Bruce A. Ralston. "Pre-evacuation Trip Behavior." In Geospatial Techniques in Urban Hazard and Disaster Analysis, 395–413. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2238-7_19.

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Fargetta, Georgia, and Laura Scrimali. "Optimal Emergency Evacuation with Uncertainty." In Mathematical Analysis in Interdisciplinary Research, 261–79. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-84721-0_14.

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Kuligowski, E. D., and B. L. Hoskins. "Analysis of Occupant Behavior During a Highrise Office Building Fire." In Pedestrian and Evacuation Dynamics, 685–97. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9725-8_61.

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Johansson, Anders, and Dirk Helbing. "Analysis of Empirical Trajectory Data of Pedestrians." In Pedestrian and Evacuation Dynamics 2008, 203–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_15.

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Tavares, Rodrigo Machado, and Edwin R. Galea. "Numerical Optimisation Techniques Applied to Evacuation Analysis." In Pedestrian and Evacuation Dynamics 2008, 555–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_49.

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Wagoum, Armel Ulrich Kemloh, Mohcine Chraibi, Christian Eilhardt, Stefan Nowak, Igor Kulkov, Daniel Weber, Kathrin Sauer, Hubert Klüpfel, and Andreas Schadschneider. "OpenPedSim: A Framework for Pedestrian Flow Analysis." In Pedestrian and Evacuation Dynamics 2012, 1323–30. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02447-9_109.

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Junker, O., V. Strauss, R. Majer, and N. Link. "Real-Time Video Analysis of Pedestrians to Support Agent Simulation of People Behavior." In Pedestrian and Evacuation Dynamics, 81–94. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9725-8_8.

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Conference papers on the topic "Evacuation analysi"

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Russo, F., C. Rindone, and M. R. Trecozzi. "The role of training in evacuation." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120411.

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Russo, F., and C. Rindone. "Data Envelopment Analysis (DEA) for evacuation planning." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100391.

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Chilà, G. "The role of demand models in evacuation." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120381.

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De Maio, M. L., G. Musolino, and A. Vitetta. "The role of ITS in evacuation route choice." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120421.

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Polimeni, A., A. Quattrone, and A. Vitetta. "An approach to designing vehicle routes in evacuation conditions." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100401.

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Huang, Ying, Jun Lei, and Ke Wang. "The Influence of Obstructions of Evacuation Node on Subway Stations Fire Evacuation Capability." In 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/rac-18.2018.42.

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Polimeni, A. "The role of optimization models for rescue vehicles routes in evacuation." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120401.

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Russo, F., and G. Chilà. "A sequential dynamic choice model to simulate demand in evacuation conditions." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100371.

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De Maio, M. L. "The role of path choice and traffic assignment models in evacuation." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120391.

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Polimeni, A., and A. Vitetta. "The role of ITS in evacuation route optimization for emergency vehicles." In RISK ANALYSIS 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/risk120431.

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Reports on the topic "Evacuation analysi"

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Tawil, J. J., D. L. Strenge, and R. W. Schultz. An analysis of evacuation options for nuclear accidents. Office of Scientific and Technical Information (OSTI), November 1987. http://dx.doi.org/10.2172/10106547.

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Olsen, Christopher M. Simulation Study of Evacuation Control Center Operations Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada546629.

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Yoshimura, Ann S., and Larry D. Brandt. NUclear EVacuation Analysis Code (NUEVAC) : a tool for evaluation of sheltering and evacuation responses following urban nuclear detonations. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/993901.

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Cutchins, Malcolm A., Jr Foster, Hamner Winfred A., and Blane A. Analysis and Design of an Aeromedical Evacuation Litter Stanchion. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada171557.

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Fahy, Rita F., and Guylene Proulx. Analysis of published accounts of the World Trade Center evacuation. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ncstar.1-7a.

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Klote, John H., and Daniel M. Alvord. Routine for analysis of the people movement time for elevator evacuation. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4730.

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Yoshimura, Ann S., and Larry D. Brandt. Analysis of sheltering and evacuation strategies for an urban nuclear detonation scenario. Office of Scientific and Technical Information (OSTI), May 2009. http://dx.doi.org/10.2172/966943.

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Yoshimura, Ann S., and Larry D. Brandt. Analysis of sheltering and evacuation strategies for a Chicago nuclear detonation scenario. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1029774.

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Pacheco, Patricia Marie, Lynne Schleiffarth Burks, Charles Joseph John, Trisha Hoette Miller, and Nerayo P. Teclemariam. National Hurricane Program Hurricane Evacuation Study Tool End-User Engagement and Usability Analysis. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1561813.

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Yoshimura, Ann S., and Larry D. Brandt. Analysis of sheltering and evacuation strategies for a national capital region nuclear detonation scenario. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1031881.

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