Mapping knowledge structure and research trends of emergency evacuation studies

Hui, Liu; Chen, Hailun; Hong, Rui; Liu, Huiguang; You, Wenjiao

doi:10.1016/j.ssci.2019.09.020

Cited by 85 publications

(40 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have linked higher rates of depression to large-scale crises that affect public and economic health – including earthquakes ( Tang et al, 2015 ), wildfires ( Zeller et al, 2015 ), and terrorist attacks ( Liu et al, 2020 ). The situation generated by the COVID-19 pandemic, however, is unprecedented in terms of its consequences of mandated social isolation ( Brooks et al, 2020 ; Golberstein et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

et al. 2021

View full text Add to dashboard Cite

BackgroundExposure to early life stress (ELS) is alarmingly prevalent and has been linked to the high rates of depression documented in adolescence. Researchers have theorized that ELS may increase adolescents’ vulnerability or reactivity to the effects of subsequent stressors, placing them at higher risk for developing symptoms of depression.MethodsWe tested this formulation in a longitudinal study by assessing levels of stress and depression during the COVID-19 pandemic in a sample of adolescents from the San Francisco Bay Area (N = 109; 43 male; ages 13–20 years) who had been characterized 3–7 years earlier (M = 5.06, SD = 0.86 years) with respect to exposure to ELS and symptoms of depression.ResultsAs expected, severity of ELS predicted levels of depressive symptoms during the pandemic [r(107) = 0.26, p = 0.006], which were higher in females than in males [t(107) = −3.56, p < 0.001]. Importantly, the association between ELS and depression was mediated by adolescents’ reported levels of stress, even after controlling for demographic variables.ConclusionsThese findings underscore the importance of monitoring the mental health of vulnerable children and adolescents during this pandemic and targeting perceived stress in high-risk youth.

show abstract

Section: Discussionmentioning

confidence: 99%

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Previous studies have linked higher rates of depression to large-scale crises that affect public and economic healthincluding earthquakes (Tang et al, 2015), wildfires (Zeller et al, 2015), and terrorist attacks (Liu et al, 2020). The situation generated by the COVID-19 pandemic, however, is unprecedented in terms of its consequences of mandated social isolation (Brooks et al, 2020;Golberstein et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Existing studies can be divided into three aspects: Metro emergency evacuation studies, metro emergency response process, and site selection of rescue facilities. Firstly, metro emergency evacuation has achieved universal attention of many scholars in recent years [15]. There are three existing evacuation simulation models: Discrete, continuous, and multi-agent [16,17].…”

Section: Metro Emergency Managementmentioning

confidence: 99%

Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro

Sun

2020

Sustainability

View full text Add to dashboard Cite

As metro systems are becoming more and more widely used, all kinds of emergencies happen from time to time. A series of cases indicate that inefficient emergency response is a dominating cause of tremendous casualties and losses. The fast and valid allocation of emergency resources after the occurrence of metro emergencies has become a key point in improving the sustainability of metro operations. However, few studies have attempted to determine the allocation of emergency resources in metro emergencies. In this study, considering the unpredictability of different emergency scenarios in the metro system, the scenario-response mode was applied in the resource allocation decision. In this mode, a metro emergency scenario framework was first constructed through the identification of metro emergency elements. Next, a multi-objective model was established for the allocation of emergency resources in the metro emergency rescue process using a scenario-based analysis. The model aims to minimize both the penalty costs due to delays and the sum of allocation costs. The particle swarm optimization algorithm was adopted to solve the model. Eventually, a fire accident scenario at Nanjing Metro was applied to verify the feasibility and validity of the presented model and algorithm. The research results not only enrich and improve metro emergency management theoretically, but also enhance metro emergency rescue ability in practice.

show abstract

Mapping knowledge structure and research trends of emergency evacuation studies

Cited by 85 publications

References 56 publications

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

Early Life Stress Predicts Depressive Symptoms in Adolescents During the COVID-19 Pandemic: The Mediating Role of Perceived Stress

Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro

Contact Info

Product

Resources

About