可靠性理论在公共安全领域的应用研究

对公共安全体系从系统可靠性的视角,综合运用可靠性方面的知识,构建公共安全系统混联模型;进而将可靠性分配理论与故障树分析方法相结合,根据系统安全目标的要求,确定混联系统的第一层次各单元事件的可靠性目标值,对构成各单元的各个下属单元采取最小工作量可靠度分配方法,从而建立系统中各单元可靠度再分配量化模型。通过建筑物火灾引起人员伤亡事故实例,详述系统各单元可靠性分配的计算过程。研究表明,可靠性理论可以成功地应用到公共安全领域;使系统在给定的目标值条件下达到系统的安全性优化,实现了公共安全保障效能,减小灾害损失。     

高危企业社会保险投资与员工忠诚度的博弈分析

运用经济博弈论方法,研究高危企业社会保险投资与员工忠诚度问题,建立博弈模型,得出混合策略纳什均衡解,并对影响企业社会保险投资概率和员工忠诚度大小的因素进行分析,得出以下结论:企业对于员工社会保险投资力度越大,或对于不忠诚员工的惩罚力度越大,或对于忠诚员工的奖励越高,越有助于员工忠诚企业。同时指出:企业对员工采取"一刀切"的做法,会挫伤忠诚员工爱企强企的积极性;启发企业实行公平分配机制,来提高员工忠诚度和企业效益,要从积极的态度出发,以人为本,加大保险投资力度,为员工提供安全和生活保障;只有使双方的"非合作博弈"逐步过渡到"合作博弈",才能调动和爱护员工的爱岗敬业积极性。     

三峡库区移民贫困致因的精准识别与减贫路径的实证研究

随着我国经济发展和扶贫成效的显现,老区、山区、民族地区和移民库区等集中连片的特殊贫困区已经成为我国当前精准扶贫的主战场。由于面临生产资料匮乏、生态环境恶化和地质灾害频发等恶劣环境,库区移民贫困问题已成为新时期扶贫攻坚最难啃的"硬骨头"。因此,开展库区移民贫困致因的精准识别与减贫路径研究具有重要的现实意义。基于对库区移民贫困现状的扎根理论分析,本文提出了分析农户生计的新框架。在此基础上,本文以三峡库区26个县(区)为研究对象,随机抽取4县(区)796户移民作为样本,首先,采用灰色关联分析法和熵权法对库区移民主要致贫因子进行挖掘;接着,采用PLS-SEM模型分析影响库区移民生计状况的关键因子和关键路径。研究表明:(1)三峡库区移民贫困现象仍很严重,患病、劳动能力弱和失地是移民致贫的三大主因。三峡库区仍有175.94万人生活在贫困线以下,三大致贫原因依次是:因病致贫26.49%、因劳动能力弱致贫22.10%和失地致贫21.65%。(2)心理资本可有效促进移民其他资本效能的发挥,对生计状况存在着显著的直接效应和间接效应。(3)在影响生计状况的四类资本中,人力资本对库区移民生计状况影响最大。基于以上发现,本文提出了实现库区移民精准脱贫的政策建议:(1)国家应高度重视三峡库区移民贫困问题,大力开展精准扶贫;(2)增加心理干预措施以提高移民心理资本存量,帮助移民摆脱心理贫困;(3)开展劳动力技能培训,提高库区移民人力资本水平。     

推拉理论视角下的农村宅基地退出机制研究——基于南京市栖霞区农户意愿调查

以推拉理论为视角,分别从农村宅基地作为资源和资产属性以及拥有农村宅基地使用权的农民迁移到城市这两个角度,重新梳理影响农户宅基地退出意愿的因素,建立了农村宅基地退出影响因素的推拉分析框架。在理论分析的基础上,利用在南京市栖霞区农村实地调查得到的数据,建立二元Logistic模型归纳主要影响农户退出意愿的推力和拉力因素。研究发现,受教育水平、农户年总收入、家庭居住人口数和农户是否参加农村养老保险是宅基地退出的主要推动因素;而非农业收入占比、外出务工人口数、是否参加城镇养老保险、是否拥有城镇住所、是否有宅基地产权证书以及宅基地抵押权认知情况是影响宅基地退出的主要拉力因素。基于以上的影响因素分析,提出完善农村宅基地退出机制的政策建议。     

城市旅游的一个研究剖面：国内外城市旅游产品研究述评

在回顾国内外城市旅游已有文献的基础上,对国外城市旅游产品这一专项内容进行了文献述评,内容集中于城市旅游产品类型包括城市文化旅游产品、城市遗产旅游产品、城市事件旅游产品、城市夜间旅游产品和城市旅游产品,要素包括城市旅游吸引物、城市旅游设施、城市旅游服务、城市可进人性。     

基于多中心理论的辽宁沿海经济带环境治理模式研究

辽宁沿海经济带是我国沿海地区生态环境较为脆弱的地区之一,环境污染和破坏问题较突出。而环境治理直接关系到经济与社会的持续发展,环境治理模式则是决定环境治理绩效的重要因素之一。运用多中心模式分析辽宁沿海经济带环境治理存在的问题及其原因,构建该区域的多中心治理模式,并在此基础上提出相应的策略措施,为辽宁省沿海经济带发展规划的实施提供参考。     

基于轴-辐理论的皖江城市带物流网络空间构建

大力发展现代物流业和皖江城市带承接产业转移示范区建设是两大重要国家级战略。首先对轴-辐理论的国内外研究现状进行了总结和归纳,分析了轴-辐网络的结构及其优劣势。其次,设计了物流中心性指数的评价指标体系,运用主成分分析法对皖江城市带的9个地级城市进行物流节点等级划分,根据分析结果的总得分和区位特征确定合肥、芜湖、安庆3个一级物流节点,形成轴三角。分析了各级物流节点间的干线及支线物流通道,构建了皖江城市带轴-辐物流网络空间。     

基于排队论的城市垃圾箱最佳间距研究

针对城市垃圾箱最佳间距的研究不够精细的现状,本文通过建立排队论模型得到了可供不同城市参考的城市垃圾箱最佳间距参数表。通过对部分城市街道的垃圾箱摆放间距情况进行实地调查,运用层次分析法将影响垃圾箱间距分布的多重因素转化为单因素;建立了基于指数分布的数学模型,利用排队论分析单因素状态下的垃圾箱间距分布,得到了求解城市垃圾箱最佳间距的一般方法。     

Setting the most robust effluent level under severe uncertainty: Application of information-gap decision theory to chemical management

Decisions in ecological risk management for chemical substances must be made based on incomplete information due to uncertainties. To protect the ecosystems from the adverse effect of chemicals, a precautionary approach is often taken. The precautionary approach, which is based on conservative assumptions about the risks of chemical substances, can be applied selecting management models and data. This approach can lead to an adequate margin of safety for ecosystems by reducing exposure to harmful substances, either by reducing the use of target chemicals or putting in place strict water quality criteria. However, the reduction of chemical use or effluent concentrations typically entails a financial burden. The cost effectiveness of the precautionary approach may be small. Hence, we need to develop a formulaic methodology in chemical risk management that can sufficiently protect ecosystems in a cost-effective way, even when we do not have sufficient information for chemical management. Information-gap decision theory can provide the formulaic methodology. Information-gap decision theory determines which action is the most robust to uncertainty by guaranteeing an acceptable outcome under the largest degree of uncertainty without requiring information about the extent of parameter uncertainty at the outset. In this paper, we illustrate the application of information-gap decision theory to derive a framework for setting effluent limits of pollutants for point sources under uncertainty. Our application incorporates a cost for reduction in pollutant emission and a cost to wildlife species affected by the pollutant. Our framework enables us to settle upon actions to deal with severe uncertainty in ecological risk management of chemicals.     

Volunteer Macroinvertebrate Monitoring: Tensions Among Group Goals,Data Quality,and Outcomes

Volunteer monitoring of natural resources is promoted for its ability to increase public awareness, to provide valuable knowledge, and to encourage policy change that promotes ecosystem health. We used the case of volunteer macroinvertebrate monitoring (VMM) in streams to investigate whether the quality of data collected is correlated with data use and organizers' perception of whether they have achieved these outcomes. We examined the relation between site and group characteristics, data quality, data use, and perceived outcomes (education, social capital, and policy change). We found that group size and the degree to which citizen groups perform tasks on their own (rather than aided by professionals) positively correlated with the quality of data collected. Group size and number of years monitoring positively influenced whether a group used their data. While one might expect that groups committed to collecting good-quality data would be more likely to use it, there was no relation between data quality and data use, and no relation between data quality and perceived outcomes. More data use was, however, correlated with a group's feeling of connection to a network of engaged citizens and professionals. While VMM may hold promise for bringing citizens and scientists together to work on joint conservation agendas, our data illustrate that data quality does not correlate with a volunteer group's desire to use their data to promote regulatory change. Therefore, we encourage scientists and citizens alike to recognize this potential disconnect and strive to be explicit about the role of data in conservation efforts.