Modeling emergency evacuation with time and resource constraints: A case study from Gujarat

Dhingra, Vibhuti; Roy, Debjit

doi:10.1016/j.seps.2015.06.001

Cited by 15 publications

(2 citation statements)

References 27 publications

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“…This literature review is used to explore resources, and the obstacles that have been faced in the past become potentials and challenges to improve the ability of the government and society to face the threat of disasters. (Dhingra & Roy, 2015a). This is an important point that becomes the main point of view in the process of compiling guidelines for in-depth interviews and FGDs related to resource exploration studies and constraints in developing disaster victim evacuation scenarios.…”

Section: Introductionmentioning

confidence: 99%

Adjustment of In-Depth Interview and Focus Group Discussion Guidelines for Disaster Victims Evacuation Model Development with Corona Virus Disease 2019 Pandemic

Muhammad¹,

Kamil²,

Adlim³

et al. 2022

proceeding

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In developing the disaster victim evacuation (DVE) model, we started with exploratory study is needed to identify the related variables. The exploratory studies are in the form of qualitative and quantitative research. In this qualitative study conducted agent-based in the nursing perspective. To conduct this research, guidelines are needed that are in accordance with the actual situation, such as the global COVID-19 pandemic. Although many articles have been published regarding in-depth interview (II) and Focus Group Discussion (FGD) guidelines, all of them have to be readjusted according to the situation. This adjustment is important to do minimize problems that arise in the data collection process, such as the emergence of new clusters during pandemic of the Covid 19. This study aims to provide a detailed standard in the implementation of the data collection process using the II & FGD method for the DVE Model development and in accordance with pandemic conditions.This literature review study begins with article search and identification of scientific articles. Before the scientific articles are synthesized, a variable identification process is carried out through 2 stages, namely identification to sort articles according to variables and article selection for research main reference needs and references for discussion.. The results of this study are in the form of qualitative research guidelines presented in the form of standard data collection methods using II & FGD. In this article, we recommend aligning the II & FGD guidelines with the development of information technology in exploring Agent-based information.

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Section: Introductionmentioning

confidence: 99%

Adjustment of In-Depth Interview and Focus Group Discussion Guidelines for Disaster Victims Evacuation Model Development with Corona Virus Disease 2019 Pandemic

Muhammad¹,

Kamil²,

Adlim³

et al. 2022

proceeding

View full text Add to dashboard Cite

show abstract

“…The first part is the walking time when the pedestrian moves to the exit and the second part is the queuing waiting time influenced by pedestrians around the exit when passing through the exit. Togawa (1955) and Dhingra and Roy (2015) proposed an empirical formula to evaluate the evacuation time. The empirical formula takes the distance between pedestrian and exit and pedestrian density near the exit as two evaluation parameters.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian evacuation method based on improved cellular automata in emergencies

Zhai

Feng

2022

ECAM

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PurposeThe rapid evacuation of personnel in emergency situations is of great significance to the safety of pedestrians. In order to further improve the evacuation efficiency in emergency situations, this paper proposes a pedestrian evacuation model based on improved cellular automata based on microscopic features.Design/methodology/approachFirst, the space is divided into finer grids, so that a single pedestrian occupies multiple grids to show the microscopic behavior between pedestrians. Second, to simulate the velocity of pedestrian movement under different personnel density, a dynamic grid velocity model is designed to establish a linear correspondence relationship with the density of people in the surrounding environment. Finally, the pedestrian dynamic exit selection mechanism is established to simulate the pedestrian dynamic exit selection process.FindingsThe proposed method is applied to single-exit space evacuation, multi-exit space evacuation, and space evacuation with obstacles, respectively. Average speed and personnel evacuation decisions are analyzed in specific applications. The method proposed in this paper can provide the optimal evacuation plan for pedestrians in multiple exit and obstacle environments.Practical implications/Social implicationsIn fire and emergency situations, the method proposed in this paper can provide a more effective evacuation strategy for pedestrians. The method proposed in this paper can quickly get pedestrians out of the dangerous area and provide a certain reference value for the stable development of society.Originality/valueThis paper proposes a cellular automata pedestrian evacuation method based on a fine grid velocity model. This method can more realistically simulate the microscopic behavior of pedestrians. The proposed model increases the speed of pedestrian movement, allowing pedestrians to dynamically adjust the speed according to the specific situation.

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Emergency evacuation problem for a multi-source and multi-destination transportation network: mathematical model and case study

et al. 2018

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Modeling emergency evacuation with time and resource constraints: A case study from Gujarat

Cited by 15 publications

References 27 publications

Adjustment of In-Depth Interview and Focus Group Discussion Guidelines for Disaster Victims Evacuation Model Development with Corona Virus Disease 2019 Pandemic

Adjustment of In-Depth Interview and Focus Group Discussion Guidelines for Disaster Victims Evacuation Model Development with Corona Virus Disease 2019 Pandemic

Pedestrian evacuation method based on improved cellular automata in emergencies

Emergency evacuation problem for a multi-source and multi-destination transportation network: mathematical model and case study

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