Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant

Yang, Linyao; Wang, Xiao; Zhang, Jun Jason; Zhou, Min; Wang, Fei‐Yue

doi:10.1109/tcss.2020.2979531

Cited by 18 publications

(8 citation statements)

References 41 publications

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“…Chen and Zhan [4] examined staged evacuation strategies in three different road network structures with varying population densities. Yang [5] assessed staged evacuation strategies through simulation, combining pedestrian choice models with agent-based pedestrian behavior simulation models. Park and Jae [6] identi ed the optimal staged evacuation strategy by segmenting evacuation zones based on level 3 probabilistic safety assessment (PSA) outcomes and employing a mathematical approach to compute evacuation and delay times.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Radiological Emergency Response through Agent-Based Model Case 1: Effectiveness of staged Evacuation

Han,

Lim,

Hwang

et al. 2024

Preprint

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In the event of radiological emergencies, such as nuclear accidents, the speedy but well-ordering evacuation of residents in imperative to ensure their health and safety. Staged evacuation has been studied as a method to reduce evacuation time. However, a method is needed to confirm the effectiveness of staged evacuation with more realistic factors which are implementable in a simulation platform. This study evaluates the performance of staged evacuation with more realistic factors which are implementable in a simulation platform. The evacuation simulation was conducted using PRISM (Platform for Radiological Emergency Integrated Simulation Model), developed by Kyung Hee University and utilizing an Agent-Based Model. A city was modeled using GIS data for road networks, buildings, and administrative districts. The population distribution was made non-uniform based on building layout data, and evacuation areas were divided based on administrative districts for demonstrating purpose. The simulation varied the order of evacuation groups and the evacuation start time interval, comparing evacuation times and average speeds to evaluate each strategy. The results reached a few insights: (1) Certain staged evacuation strategies are effective in reducing evacuation times within the PAZ. (2) A staged evacuation strategy that prioritizes areas closest to the nuclear plant resulted in longer evacuation times compared to other evacuation sequences. (3) In certain evacuation sequences, increasing the intervals did not significantly impact the evacuation time. This implies that within the same evacuation sequence, it is possible to increase the evacuation speed without a substantial loss in evacuation time by extending the intervals.

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Section: Introductionmentioning

confidence: 99%

Enhancing Radiological Emergency Response through Agent-Based Model Case 1: Effectiveness of staged Evacuation

Han,

Lim,

Hwang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Various simulation methods and models have been proposed for nuclear accident emergency evacuation, including Agent-based Modeling (ABM) [8], the Dynamic Dosebased Emergency Evacuation Model (DDEEM) [9], the Complex Terrain based on the A* algorithm (CTA) [10], the Random Forest Exit Choice Model [11], and the Fuzzy-Improved Genetic Algorithm (F_IGA) [12]. Probability Safety Assessment (PSA) methods, such as Kimura et al's three-level PSA criteria, have been utilized for evaluating nuclear accident evacuations, calculating early doses, and assessing protective action effectiveness [13].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Solution for Nuclear Power Plant On-Site Optimal Evacuation Path Planning Based on Atmospheric Dispersion and Dose Model

Ren,

Zhang,

Zheng

et al. 2024

Sustainability

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Safety in nuclear energy utilization is crucial. In the event of a radioactive release incident, coupled with meteorological uncertainties, a radioactive plume can impact personnel evacuation. This paper presents an integrated solution for radionuclide release accident assessment and emergency evacuation decision making. The solution consists of three processes: atmospheric dispersion calculation, dose calculation, and path planning. The individual processes are connected through data exchange, thus allowing users to choose specific models based on experience. The proposed scheme combination is the Gaussian plume model, the dose conversion factor method, and an improved Dijkstra’s path planning algorithm. This algorithm, combined with dispersion and dose results, weighs nodes using the moving expected dose, facilitating the path with minimum dose risk. A program for Atmospheric Diffusion and Dose Calculation (ADDC) is developed based on the recommended scheme. Advantages include ease of use, minimal data requirements, data accessibility, and efficient evacuation. Dose estimates and optimal evacuation routes can be obtained quickly and at very low cost in response to rapidly changing environmental conditions. In a case study at a Chinese planned nuclear plant, we consider a spent fuel pool water loss scenario, assessing dose risks from 2020 to 2022 meteorological statistics. In dose calculation, results reveal that during an SFP drying accident, the radiation dose in the core area (100 m away) can reach 30–150 mSv within 2 h, and at 500 m away, it can reach 5–15 mSv. The dose in all downwind directions can drop below 250 mSv within 60 m. In path planning, results reveal the program is capable of accurately and efficiently calculating the minimum dose evacuation route. The program’s path reduces the effective dose by up to 67.3% compared to the shortest route, enhancino safety, and guiding post-accident decision making and planning.

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“…Earlier studies analyzing pedestrian mobility models during a natural disaster have shown that there can be an estimate of the time needed by the mean person to reach a safe point using GIS [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Strategy for Effective Evacuation of Pedestrians Using GIS and GPS Measurements

Polakis¹,

Tsouchlaraki²

2022

JGIS

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During a residential settlement evacuation, a large number of individuals do not have access to any private means of transport in order to be evacuated; these people are assembled at Evacuation Assembly Points (E.A.P.s), so as to be picked up, gathered and evacuated by the competent authorities. The present study aims to evaluate whether some pedestrian assembly points are adequate for these people's fastest assembly, taking into account the demographic characteristics of the studied population and the incline of the studied area's ground. In order for said fastest assembly and evacuation to be achieved Geographical Information Systems (G.I.S.) and GPS measurements have been employed. The suggested method has led to the creation of the households' classification maps based upon their inhabitants' response time in order to improve the pre-existent Intervention Teams' contingency plans. First, in order to identify the demographic characteristics of the studied population, we have employed the field survey method; second, we have determined the fastest and ergo optimal evacuation routes using the Dijkstra algorithm. What is more, the results hereof prove that it is feasible that the time it takes to gather the pedestrians be optimized by way of choosing the best evacuation point, whilst a method of large crowds' evacuation in groups has been developed. The latter could constitute a useful tool for Civil Protection Agents and responders.

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Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant

Cited by 18 publications

References 41 publications

Enhancing Radiological Emergency Response through Agent-Based Model Case 1: Effectiveness of staged Evacuation

Enhancing Radiological Emergency Response through Agent-Based Model Case 1: Effectiveness of staged Evacuation

An Integrated Solution for Nuclear Power Plant On-Site Optimal Evacuation Path Planning Based on Atmospheric Dispersion and Dose Model

Strategy for Effective Evacuation of Pedestrians Using GIS and GPS Measurements

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