Risk perception and travel behavior under short-lead evacuation: Post disaster analysis of 2020 Beirut Port Explosion

Tahesh, Ghina; Abdulsattar, Harith; Zeid, Maya Abou; Chen, Chen

doi:10.1016/j.ijdrr.2023.103603

Cited by 4 publications

(3 citation statements)

References 125 publications

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“…With respect to the egress time available, there are various evacuation types, such as evacuation without prior notice of disaster (explosions [52], terrorist attacks [53], and earthquakes [54]) and evacuations with advance warning of threats (hurricanes, floods, and tsunamis) [55]. From another point of view, two parallel considerations were taken into account when categorising emergency evacuation planning studies: (a) annotated evacuation scenario taxonomy (such as building evacuations [56], mass evacuations [57], and mixed traffic evacuations [58]) and (b) annotated evacuation cause taxonomy (such as evacuation in response to natural hazards [59], evacuation in response to man-made disasters [60], and evacuation in response to hybrid disasters such as Natech events (combined technological accidents and natural hazards) [52,61,62] or cascading natural hazards [63,64]). As this study focuses on transit-based evacuation planning studies, we will articulate the "evacuation scenario taxonomy" to position our study among these classifications.…”

Section: Literature Taxonomy: Transit-based Evacuation Planningmentioning

confidence: 99%

A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

Khalili,

Mojtahedi,

Steinmetz-Weiss

et al. 2024

Buildings

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Increasing disasters in recent years have necessitated the development of emergency logistics plans. Evacuation planning plays an important role in emergency logistics management, particularly when it comes to addressing transit-dependent populations that are often neglected in previous studies. This systematic literature review explores the current state of transit-based evacuation planning and examines the current gaps. We focused on transit-based evacuation planning problems that used optimisation and modelling approaches. This review conducts an extensive analysis of relevant studies to provide a comprehensive overview, identify research gaps, and outline future directions in the evacuation planning body of knowledge. Using an integrated systematic review methodology, a thorough search of the Scopus and Web of Science databases was conducted, resulting in a total of 538 articles. These articles were screened and evaluated based on predetermined inclusion and exclusion criteria, ultimately yielding 82 studies for final analysis. The findings highlight the growing importance of optimisation and modelling approaches within transit-based evacuation planning. Studies emphasize the integration of public transportation networks into evacuation strategies to enhance operational efficiency, optimize resource allocation, and ensure evacuee safety. Transit-based evacuation planning is vital for both those without personal vehicles, making evacuation more equitable, and vehicle owners, particularly in earthquakes where vehicles might be inaccessible or trapped, demonstrating its wide usefulness in all emergency scenarios. Various optimisation and modelling approaches have been employed in transit-based evacuation planning studies to simulate and analyse the flow of evacuees and vehicles during emergencies. Transit-based evacuation planning exhibits unique characteristics within disaster management, including the consideration of spatial and temporal dynamics of transit systems, integration of social and demographic factors, and involvement of multiple stakeholders. Spatial and temporal dynamics encompass transportation schedules, capacities, and routes, while social and demographic factors involve variables such as income, age, and mobility status. Stakeholder engagement facilitates collaborative decision-making and effective plan development. However, transit-based evacuation planning faces challenges that require further research and development. Data availability and accuracy, model validation, stakeholder coordination, and the integration of uncertainty and dynamic factors pose significant hurdles. Addressing these challenges necessitates advances in data collection, robust modelling frameworks, and improved communication and coordination mechanisms among stakeholders. Addressing these gaps requires interdisciplinary collaborations and advances in data analytics and modelling techniques.

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Section: Literature Taxonomy: Transit-based Evacuation Planningmentioning

confidence: 99%

A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

Khalili,

Mojtahedi,

Steinmetz-Weiss

et al. 2024

Buildings

View full text Add to dashboard Cite

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“…Risk perception refers to the psychological state in which individuals perceive external risks and reflect their intuitive judgment, subjective feelings, and responses to the external environment. Numerous studies have previously demonstrated that risk perception is an important factor that influences individual decision-making behavior [23][24][25], and according to the planned behavior theory and the technology acceptance theory, behavioral intention is a key determinant of behavior occurrence, whereby risk perception equally influences the subject's behavioral intention [26][27][28]. Small-scale farmers are subject to various influences from external policy, market, and natural environments while managing their bamboo forests.…”

Section: Risk Perception (Rp) and Reinvestment Willingness (Rw)mentioning

confidence: 99%

How to Promote Sustainable Bamboo Forest Management: An Empirical Study from Small-Scale Farmers in China

Huang,

Hou,

Ren

et al. 2023

Forests

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Bamboo is an important agroforestry and forest plant managed and utilized by rural communities in some countries in the Asia Pacific region, which can generate various benefits to meet social and environmental needs. In rural areas of China, as a large number of forest land management rights have been allocated to small-scale farmers, the willingness of small-scale farmers to reinvest in bamboo forest management has become a key factor for bamboo forest ecosystems to be able to sustainably supply quality ecosystem services. Therefore, it is necessary to answer the question of how to enhance small-scale farmers’ willingness to reinvest in bamboo forest management in the current policy and market context. Combining the prospect theory, the mindsponge theory, the theory of planned behavior (TPB), and the technology acceptance model (TAM), this study constructs theoretical models of perceived property rights security, perceived bamboo forest certification, government support, group decision making, risk perception, perceived value, geographic conditions, and resource endowment affecting willingness to reinvest in bamboo forest management. Based on 1090 questionnaires from a field study in Fujian, China, in 2021, structural equation modeling (SEM) was used to test the theoretical model. The results show that, under the current policy and market environment, government support is the key to enhance small-scale farmers’ willingness to reinvest in bamboo forest management, and their perception of ecological certification also has a facilitating effect on small-scale farmers’ willingness to reinvest in bamboo forest management, in which risk perception plays a significant mediating role. The government can enhance small-scale farmers’ willingness to reinvest in bamboo forest management by maintaining stable land property rights policies, increasing the publicity and promotion of bamboo forest certification, and enhancing information exchange among farmers.

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“…Because of outside factors, refugees frequently spend years or even months in shelters for emergencies or transitional shelters [2]. The research in [3] examines how people decide whether to evacuate during unexpected emergencies, with an emphasis on the variables that affect how people react to man-made disasters. The study appears on the variables affecting the response to the explosion that occurred at the Port of Beirut in Lebanon in August 2020 the usage of the protective movement decision model (PADM).…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Post-Disaster Analysis Using Image Processing Techniques

Gupta,

Helena Raj,

Lal

et al. 2024

E3S Web of Conf.

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Post-disaster recovery is a multifaceted system essential for rebuilding communities and infrastructure. Despite its importance, many limitations obstruct powerful recuperation, main to tremendous loss of life and monetary assets. This paper synthesizes varied approaches in the direction of sustainable restoration, highlighting the increasing reliance on technology for disaster management. Image processing strategies, pivotal in addressing these demanding situations, are reviewed across studies. Those strategies range from SLIC segmentation and Random forest classification to advanced deep learning models together with U-net and YOLOv8, machine learning algorithms like SVM, and image category methodologies along with bi-temporal analysis. Comparative evaluation reveals that those strategies presents promising consequences, with accuracies starting from 75% to over 94%. The paper gives a framework for understanding the role of various image processing strategies in improving disaster control strategies, emphasizing their implications for future studies and application.

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Risk perception and travel behavior under short-lead evacuation: Post disaster analysis of 2020 Beirut Port Explosion

Cited by 4 publications

References 125 publications

A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

How to Promote Sustainable Bamboo Forest Management: An Empirical Study from Small-Scale Farmers in China

A Comparative Analysis of Post-Disaster Analysis Using Image Processing Techniques

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