Titlebook: Navigating Complexity: Understanding Human Responses to Multifaceted Disasters; Yibin Ao,Homa Bahmani Book 2023 The Editor(s) (if applicab

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書(shū)目名稱Navigating Complexity: Understanding Human Responses to Multifaceted Disasters影響因子(影響力)




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書(shū)目名稱Navigating Complexity: Understanding Human Responses to Multifaceted Disasters讀者反饋




書(shū)目名稱Navigating Complexity: Understanding Human Responses to Multifaceted Disasters讀者反饋學(xué)科排名

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清唱?jiǎng)?/a>

,Trust and Stakeholders’ Assistance in Households’ Earthquake Preparedness Behavior,74 valid questionnaires were obtained through field household surveys. A Multinominal Logit Model (MNL) was constructed to explore the influence of villagers’ trust in the disaster relief ability of stakeholders and the help they can get from stakeholders on their preparedness behavior. The results

Coterminous

,Flood-Prone Rural China: Famers’ Livelihood Capital and Strategy Choices,cal data of 360 rural households in six sample villages in the Jialing River Basin of Sichuan Province, China through a village-to-household field questionnaire and applies the Multinominal Logit Model (MNL) to explore the influence of farmer households’ capital on livelihood strategy choice. Resear

CRACK

,Early Stage COVID-19 Impact on Chinese Residents’ Mental Health,llected our data through an online questionnaire survey. Specifically, we adopted the Impact of Event Scale-Revised (IES-R) and State-Trait Anxiety Inventory (STAI) to assess symptomatic responses to exposure to traumatic life events and public anxiety, respectively, in the COVID-19 pandemic outbrea

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ANTE

Influence of COVID-19 Home-Based Learning on Future Online Study Intentions in China,e are validated by data gained from questionnaires. 6933 students from 54 institutions in China participated in the investigation, with 5456 valid questionnaires returned. This study employs partial least squares (PLS) regression and confirmative factor analysis (CFA) to analyze and estimate the mea

前奏曲

Seismic Evacuation Decision-Making During COVID-19 Lockdown-Lunding Earthquake Case Study,uding earthquake on 5 September 2022, when most parts of Sichuan province were experiencing strict pandemic restrictions. Using these data and per the emergency evacuation decision-making mechanism, we developed six hierarchical series of logistic regression models. Our major results suggest that (1

LEERY

Emergency Evacuation Choices and Reasons Under Pandemic Situation; Lessons from the Luding Earthquaing the Luding earthquake, 5th September 2022, whose lives have been affected by the Covid-19 epidemic and subsequent mobility limitations. To answer those questions, the study employed K-means clustering to recognize the patterns of evacuation reasons among the population and later attempted to ide

CAJ