對柬埔寨漫灘地區(qū)和越南湄公河三角洲地區(qū)家庭洪水脆弱性進(jìn)行的評估,揭示了社區(qū)在應(yīng)對周期性災(zāi)害的優(yōu)劣勢。該研究首先評估了可能受到洪水影響的因素。結(jié)果顯示,受教育程度高的家庭、本地家庭及長期居住在研究區(qū)域的家庭可以減少受洪水影響的可能。同時,兒童似乎給其家庭帶來了更大的壓力,這也使得家庭更容易受到洪水影響。本研究是少數(shù)在災(zāi)害評估中采用偏最小二乘結(jié)構(gòu)方程模型的研究之一,通過采用結(jié)構(gòu)方程模型和反距離加權(quán)方法相結(jié)合的方法指出,無論從空間分布還是職業(yè)種類來看,柬埔寨漫灘地區(qū)的家庭比其在湄公河三角洲地區(qū)中的鄰居更容易受到洪水的影響。在大多數(shù)情況下,居住在洞里薩湖中部的磅清揚(yáng)市和北部的暹粒市的家庭,往往具有最高的洪水脆弱性指數(shù)。在湄公河三角洲地區(qū),家庭洪水脆弱性大多保持在中等范圍,這也表明該地區(qū)的災(zāi)情不如柬埔寨嚴(yán)重。人口統(tǒng)計學(xué)和社會資本對洪水暴露有直接影響。在本研究中發(fā)現(xiàn),社會經(jīng)濟(jì)地位可以通過調(diào)節(jié)家庭應(yīng)對風(fēng)險能力來降低洪水影響的效應(yīng)水平。此外,越南和柬埔寨家庭之間也存在異質(zhì)性,由此突出了環(huán)境對理解社會脆弱性的影響。本文運(yùn)用保護(hù)動機(jī)理論框架對防災(zāi)減洪行為進(jìn)行了研究。結(jié)果表明,災(zāi)害評估、洪水經(jīng)歷和社會網(wǎng)絡(luò)均...

【文章頁數(shù)】：147 頁

【學(xué)位級別】：博士

【文章目錄】：
摘要
Abstract
Chapter1.Introduction
    1.1.Research background
        1.1.1.Problem statement
        1.1.2.Research questions
        1.1.3.Research objectives
    1.2.Literature review
        1.2.1.Previous studies on vulnerability assessment
        1.2.2.Previous studies on SEM in natural hazards assessment
    1.3.Study areas and data
        1.3.1.Overview of Vietnam’s Mekong River Delta
        1.3.2.Overview of the Cambodian Floodplain
        1.3.3.Data
Chapter2.Research concepts and theoretical framework
    2.1.Research concepts
        2.1.1.Vulnerability
        2.1.2.Types of flooding
        2.1.3.Household
        2.1.4.Production activities in the study area
        2.1.5.Flood mitigation and adaptation strategies
    2.2.Flood vulnerability assessment framework
        2.2.1.The proposed structure of flood vulnerability
        2.2.2.Proposed hypotheses on the interrelationship of vulnerability determinants
        2.2.3.Partial least squares structural equation modeling(PLS-SEM)
Chapter3.Flood vulnerability assessment
    3.1.Extreme floods in the Cambodian floodplain and the MRD
    3.2.Overview of demographics and socioeconomic status
    3.3.Flood vulnerability assessment
        3.3.1.Estimation result
        3.3.2.Statistical analysis of flood vulnerability index
        3.3.3.Regional analysis of flood vulnerability
    3.4.Interaction among flood vulnerability determinants
        3.4.1.Demographic factors have significant influences on flood exposure
        3.4.2.Social capital assists in reducing flood exposure
        3.4.3.Cross-national differences and the indirect effects of socioeconomic status,coping capacity,and exposure
        3.4.4.Summary
Chapter4.Factors affecting farmers’disaster vulnerability
    4.1.Factors affecting the probabilities of being affected by floods
        4.1.1.Method
        4.1.2.Results
        4.1.3.Discussion
    4.2.The influence of gender in vulnerability assessment
        4.2.1.Results
        4.2.2.Discussion
    4.3.Factors that influence flood damage mitigation behavior
        4.3.1.Method
        4.3.2.Results
        4.3.3.Discussion
        4.3.4.Conclusion
    4.4.Social capital,livelihood diversification,and physical flood damages
        4.4.1.Introduction
        4.4.2.Method
        4.4.3.Results and discussion
        4.4.4.Conclusion
Chapter5.Policy recommendations for flood mitigation and adaptation
    5.1.Analyzing flood management frameworks
        5.1.1.Cambodia
        5.1.2.Vietnam
        5.1.3.Summary
    5.2.Recommendations to improve flood mitigation and adaptation
        5.2.1.Providing social protection through structural measures
        5.2.2.Institutional revamping
        5.2.3.Preventing risk redistribution on marginal groups
        5.2.4.Improvement of warning systems and management capability
        5.2.5.Increasing farmers’coping capacity
        5.2.6.International cooperation
    5.3.Challenges of flood management in the new contexts
        5.3.1.Challenges by anthropogenic factors
        5.3.2.Challenges from climate change
        5.3.3.Implications for the new context
Chapter6.Conclusion
    6.1.Achievements
    6.2.Limitations and challenges
    6.3.Final words
References
Acknowledgement
Biographical Sketch



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