基于BIM的装配式建筑并行施工作业空间冲突识别

为识别装配式建筑施工并行作业之间的空间冲突,分析装配式建筑施工项目现场各类作业空间占用需求,利用BIM技术模拟作业空间占用,引入混合轴向包围盒（AABB）与有向包围盒（OBB）算法,建立施工现场并行作业空间冲突检测模型。结果表明:所建立的模型可有效预测施工现场并行作业之间的空间冲突,为进一步的空间资源优化与项目安全管理提供支撑。     

Development of machine learning based prediction models for hazardous properties of chemical mixtures

Lower flammability limit (LFL), upper flammability limit (UFL), auto-ignition temperature (AIT) and flash point (FP) are crucial hazardous properties for fire and explosion hazards assessment and consequence analysis. In this study, a comprehensive prediction model set was constructed by using expanded chemical mixture databases of chemical mixture hazardous properties. Machine learning based gradient boosting quantitative structure-property relationship (GB-QSPR) method is implemented for the first time to improve the model performance and prediction accuracy. The result shows that all developed models have significantly higher accuracy than other regular QSPR models, with the 5-fold cross-validation RMSE of LFL, UFL, AIT, and FP models being 1.06, 1.14, 1.08, and 1.17, respectively. All developed QSPR models can be used to estimate reliable chemical mixture hazardous properties and provide useful guidance in chemical mixture hazard assessment and consequence analysis.     

An evaluation scheme for assessing the effectiveness of intersection movement assist (IMA) on improving traffic safety

Objective: Intersection movement assist (IMA) has been recognized as one of the prominent countermeasures to reduce angle crashes at intersections, which constitute 22% of total crashes in the United States. Utilizing vehicle-based sensors, vehicle-to-vehicle (V2V), and vehicle-to-infrastructure (V2I) communications, IMA offers extended vision to provide early warning for an imminent crash. However, most of IMA-related research implements their methods and strategies only in simulations, test tracks, or driving simulator studies that have quite a few assumptions and limitations and hence the effectiveness evaluations reported may not be transferable or comparable.

Methods: This study seeks to develop a generalized evaluation scheme that can be used not only to assess the effectiveness of IMA on improving traffic safety at intersections but to facilitate comparisons across similar studies. The proposed evaluation scheme utilizes the concepts of traffic conflict in terms of time-to-collision (TTC) as a crash surrogate. This approach avoids the issue of having insufficient crash frequency data for system evaluation. To measure the effectiveness of IMA on reducing traffic conflicts, a relative risk is calculated for comparing the risk of with/without using the IMA. As a proof-of-concept study, this study applied the proposed evaluation scheme and reported the effectiveness of IMA on improving traffic safety in a field operation test (FOT). Seven test scenarios were conducted at 4 intersections, and a total of 40 participants were recruited to use the IMA for 6 months.

Results: It was estimated that IMA users have 26% fewer conflicts with TTC less than 5 s and have 15% fewer conflicts with TTC less than 4 s. However, the results vary across different sites and different definitions of conflicts in terms of TTC.

Conclusions: Overall, IMA is promising to effectively reduce angle crashes related to sight obstruction and has potential to reduce not only crash frequency but crash severity.     

A path analysis model for explaining unsafe behavior in workplaces: the effect of perceived work pressure

Background. Unsafe behavior is closely related to occupational accidents. Work pressure is one the main factors affecting employees’ behavior. The aim of the present study was to provide a path analysis model for explaining how work pressure affects safety behavior. Methods. Using a self-administered questionnaire, six variables supposed to affect safety employees’ behavior were measured. The path analysis model was constructed based on several hypotheses. The goodness of fit of the model was assessed using both absolute and comparative fit indices. Results. Work pressure was determined not to influence safety behavior directly. However, it negatively influenced other variables. Group attitude and personal attitude toward safety were the main factors mediating the effect of work pressure on safety behavior. Among the variables investigated in the present study, group attitude, personal attitude and work pressure had the strongest effects on safety behavior. Conclusion. Managers should consider that in order to improve employees’ safety behavior, work pressure should be reduced to a reasonable level, and concurrently a supportive environment, which ensures a positive group attitude toward safety, should be provided. Replication of the study is recommended.     

1949年以来中国环境与发展关系的演变

从IPAT方程出发,发现了环境影响随着经济发展或时间的演变依次遵循三个"倒U型"曲线规律,即环境影响强度的倒U型曲线、人均环境影响的倒U型曲线和环境影响总量的倒U型曲线。根据此规律,可以将该演化过程划分为四个阶段即:环境影响强度高峰前阶段、环境影响强度高峰到人均环境影响量高峰阶段、人均环境影响量高峰到环境影响总量高峰阶段以及环境影响总量稳定下降阶段。在环境演变的不同阶段,主要驱动力存在着明显的差异。在环境影响强度高峰前阶段,资源消耗或污染物排放增长更多地由资源或污染密集型技术进步驱动;在资源消耗或污染物强度高峰到人均资源消耗或污染物排放高峰阶段,主要由经济增长驱动;而在人均资源消耗或污染物排放高峰到资源消耗或污染物排放总量高峰阶段以及总量高峰以后的发展阶段,则主要由节约高效技术或污染减排技术进步来驱动。实证分析表明,中国目前环境与发展关系基本上处于经济增长主要驱动的环境影响强度高峰向人均环境影响高峰过渡阶段,这同时意味着中国要在短期内实现人均环境影响和环境影响总量高峰的跨越是异常困难的。     

新疆“十五”至“十一五”期间影响工业固废产生及排放的主要社会经济因素分析

采用灰色关联分析,找出了影响工业固废量的主要社会经济因素,认为第二产业是影响工业固废的主要因素。第二产业结构比重加大,工业固废量增加。从减少工业固废的角度来看,调整产业结构已是当务之急;环境污染治理投资与工业固废因子关联度最小,说明环保投资已远不能满足环境治理的实际需要,需加大环保投资。     

偶氮类染料脱色率的定量构效关系

偶氮类染料的生产和使用过程中存在着三废多、难脱色和污染严重等问题,该染料是印染工业的主要污染物。选取偶氮类染料的分子结构参数和其光催化氧化脱色率之间建立定量结构活性关系(QSAR),进而得到回归方程,为印染废水处理和染料环境行为评价提供理论预测。结果表明,偶氮类染料的光催化氧化脱色率与其结构之间存在着线性相关性,线性方程为:D=0.647μ+66.277,(D为脱色率、μ为偶极矩)R=0.989方程具有预测能力。     

经济与环境发展关系研究进展与述评

经济与环境发展关系一直备受关注。国内外关于经济与环境关系的研究多年来有不同程度的发展。文章对经济与环境协调发展研究的基本特征、研究形式进行了探讨。在经济与环境关系的实证研究方面,主要3种表现形式:①对投入产出模型、非线性的扩展型生产函数及新古典经济模型等经典模型进行了应用研究;②以协调发展指标、环境承载力对区域经济与环境的协调发展进行评判;③以环境库兹涅茨曲线来表现区域经济与环境的关系。未来对于经济与环境关系的研究应该注意:通过采用时间序列和横截面相结合的方法来减少环境数据欠缺的限制;注重经济发展与环境建设的相互作用的研究;注重探究经济与环境背后作用机制;通过拓宽环境指标、模型改进、改变内生缺陷等方式来完善环境库兹涅茨曲线研究。     

环保型中小企业借贷环境分析

在经济多元发展的新历史阶段,环保型中小型企业作为正在蓬勃发展和活跃市场的重要经济个体,可以优化产业经济结构,推动循环经济发展.本文从软信息与关系型借贷研究入手,针对目前环保型中小企业财务信息不甚清晰、抵抗外界经济冲击能力有限和融资渠道特殊等特点,建立博弈模型,深入分析完全信息和不完全信息条件下,小额贷款公司与环保型中小企业客户之间的借贷关系.通过整体构建基于软信息特征的制度化信用风险控制准则,最终达到合理满足环保型中小企业激增的特殊融资需求.研究结果表明:以关系型借贷理论为依托,为满足各自的市场需求和利益保障,需要充分考虑环保型中小企业贷款客户的各类软信息,建立符合软信息时效性的信贷流程,决策权相对集中的组织结构和面向软信息收集的正向激励机制,从而实现对环保型中小企业客户贷款信用风险的有效控制,最终达到完善区域信用环境、支持中小企业发展和活跃社会主义市场经济的多重目标.