Lu Gan, Leqi Zhou, Shan Yang, Xia Liao, Jiangjun Wan
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引用次数: 0
Abstract
Multi-ethnic areas often involve diverse demographic and social characteristics, which may create additional challenges for disaster vulnerability assessment and governance. However, existing research has paid relatively little attention to the social vulnerability of multi-ethnic areas. Therefore, this study constructs an integrated framework for assessing social vulnerability in multi-ethnic areas. This framework combines the Social Vulnerability Index (SoVI) with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods to assess township-level variations in social vulnerability within a multi-ethnic area and the influence relationships among its dimensions. The framework was applied to a case study in Lushan County, southwestern China. The results show that areas with lower social vulnerability are concentrated in the county center - Luyang Subdistrict, while areas with higher social vulnerability are distributed around it. The DEMATEL analysis shows that socioeconomic status has the highest centrality (D + R = 9.644), while its net influence is close to zero (D - R = 0.032). Ethnic composition shows the strongest net influencing tendency (D - R = 1.528), followed by age structure (D - R = 0.946). Emergency and governance capacity has the strongest net influenced position (D - R = -1.732). The ISM analysis further reveals hierarchical relationships among the vulnerability dimensions based on expert judgments. These results indicate that social vulnerability involves interconnected demographic, socioeconomic, service, and governance dimensions. They also provide a context-specific reference for differentiated governance in multi-ethnic areas.
多民族地区往往具有不同的人口和社会特征，这可能给灾害脆弱性评估和治理带来额外的挑战。然而，现有研究对多民族地区社会脆弱性的关注相对较少。因此，本研究构建了一个综合的多民族地区社会脆弱性评估框架。该框架将社会脆弱性指数（SoVI）与决策试验与评估实验室（DEMATEL）和解释结构建模（ISM）方法相结合，以评估多民族地区社会脆弱性的乡镇水平变化及其各维度之间的影响关系。该框架应用于中国西南部芦山县的一个案例研究。结果表明：社会脆弱性较低的区域集中在县城中心——庐阳街道，而社会脆弱性较高的区域则分布在其周边。DEMATEL分析显示，社会经济地位的中心性最高（D + R = 9.644），而其净影响接近于零（D - R = 0.032）。种族构成的净影响趋势最强（D - R = 1.528），其次是年龄结构（D - R = 0.946）。应急和治理能力的净影响位置最强（D - R = -1.732）。ISM分析进一步揭示了基于专家判断的漏洞维度之间的层次关系。这些结果表明，社会脆弱性涉及相互关联的人口、社会经济、服务和治理维度。这也为多民族地区的差别化治理提供了具体的参考。
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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