危机管理体制构建与政府职能转变--后非典时期对于突发公共灾害处置的思考

本文以公共卫生危机和社会突发事件为个案,以政府面对这些危机所面临的挑战和取得的经验为研究对象,分析公共危机产生的原因和基本特征,提出了面对公共危机时应建立政府危机管理的预警系统,建立快速反应机制,动员社会参与危机救治,加强信息流通,加强公共危机的法制化建设.     

循环经济发展模式下公众参与问题分析

中国循环经济工作的深入开展是一项系统工程,离不开公众的广泛、深入和积极参与.本文首先指出了公众参与在中国循环经济整体发展进程中具有基础性地位的重要作用;继而探讨了目前中国循环经济工作的公众参与方面主要存在着公众对循环经济的认识和参与技能严重不足,参与形式单一、范围较窄,各级政府部门职能尚未予以足够重视,环境资源NG0s较薄弱等障碍性因素;最后提出国家应积极从政策、制度层面来构筑公众参与的平台,并通过宣教、规制、激励等措施来提高公众参与中国循环经济工作的力度和效率.     

环境影响评价中的公众参与现状及其改进建议

通过对30多份环境影响报告书的分析,针对我国目前的公众参与现状及存在的问题,提出改进建议。     

环境公益诉讼原告的立法缺陷与完善

随着中国经济的迅速发展,许多侵害公众环境权益事件的频频发生,有些甚至造成了很大的社会影响和国际影响。建立环境公益诉讼制度迫切需要。但中国在环境公益诉讼原告的立法规定上存在缺陷,限制了环境公益诉讼的提起。应该赋予环境保护行政监督主管部门、检察机关、公民、环保社团的环境公益诉讼原告资格,通过环境公益诉讼原告资格的扩展,来维护我们公众的环境权益。     

环境保护公众参与制度回顾、评估和建议

文章总结了国际上公众参与环境保护的发展与趋势,分析了中国公众参与环境保护现状、存在问题及原因,并借鉴国际经验,明确中国公众参与的具体方式和主要内容,提出了进一步推进中国公众参与环境保护的政策建议。     

试谈突发环境污染事件的舆论引导

突发环境污染事件的舆论引导,是政府特别是环保部门应对突发环境污染事件,降低其对环境造成严重污染和破坏,减少对人身和财产造成重大损失的重要举措。本文全面分析了突发环境污染事件舆论引导工作的现实意义、基本要求,并提出建立突发环境污染事件的舆论引导机制。     

关于我国发展循环经济的思考

循环经济在我国还处于研究探索的阶段,其理论基础和实践途径有待进一步发展。发展循环经济,建设资源节约型社会,需要积极发挥政府的主导作用,努力实现企业行为的转变,大力倡导社会公众的积极参与,以及尽快建设绿色技术支撑体系。但是,我国的现实情况是,政府在循环经济发展中主导作用不强;企业生态化转型滞后;公众对发展循环经济的意识淡薄。     

环境影响评价中公众参与绩效考核指标体系构建与实证研究

本文构建了公众参与绩效考核指标体系,通过专家咨询法确定各指标权重,然后以湘潭垃圾焚烧发电厂环境影响评价中公众参与为例,运用模糊综合评判法进行实证研究。研究结论对提高环境影响评价中公众参与力度,考核公众参与的绩效水平提供科学依据。     

Dangerous student car drop-off behaviors and child pedestrian–motor vehicle collisions: An observational study

Objectives: The objective of this study was to examine the association between dangerous student car drop-off behaviors and historical child pedestrian–motor vehicle collisions (PMVCs) near elementary schools in Toronto, Canada.

Methods: Police-reported child PMVCs during school travel times from 2000 to 2011 were mapped within 200 m of 118 elementary schools. Observers measured dangerous student morning car drop-off behaviors and number of children walking to school during one day in 2011. A composite score of school social disadvantage was obtained from the Toronto District School Board. Built environment and traffic features were mapped and included as covariates. A multivariate Poisson regression was used to model the rates of PMVC/number of children walking and dangerous student car drop-off behaviors, adjusting for the built environment and social disadvantage.

Results: There were 45 child PMVCs, with 29 (64%) sustaining minor injuries resulting in emergency department visits. The mean collision rate was 2.9/10,000 children walking/year (SD = 6.7). Dangerous drop-off behaviors were observed in 104 schools (88%). In the multivariate analysis, each additional dangerous drop-off behavior was associated with a 45% increase in collision rates (incident rate ratio [IRR] = 1.45, 95% confidence interval [CI], 1.02, 2.07). Higher speed roads (IRR = 1.27, 95% CI, 1.13, 1.44) and social disadvantage (IRR = 2.99, 95% CI, 1.03, 8.68) were associated with higher collision rates.

Conclusions: Dangerous student car drop-off behaviors were associated with historical nonfatal child PMVC rates during school travel times near schools. Some caution must be taken in interpreting these results due small number of events and limitations in the data collection, because collision data were collected historically over a 12-year period, whereas driving behavior was only observed on a single day in 2011. Targeted multifaceted intervention approaches related to the built environment, enforcement, and education could address dangerous drop-off behaviors near schools to reduce child PMVCs and promote safe walking to school.     

Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype

Disasters evolving from hazards are a persistent and deadly occurrence in the United States. Despite this, hazard alerts have remained spatially vague, temporally imprecise, and lack actionable information. These deficiencies indicate a divide between the status quo and what is possible given modern environmental models, geographic information systems (GIS), and smartphone capabilities. This work describes an alternative, prototype system, “FloodHippo,” which integrates operational model outputs, cloud‐based GIS, and expanded communication channels to provide personal and interactive disaster alerts for floods. The precepts and methods underpinning FloodHippo apply equally to other disasters that evolve over space and time, presenting the opportunity for a more intelligent disaster response system. The development of such a system would not only minimize current shortcomings in disaster alerts but also improve resilience through individual action, along with community, academic, and federal cooperation.