Moving FOCUS – The Fire Service Organizational Culture of Safety survey – From research to practice

Introduction: FOCUS, the Fire Service Organizational Culture of Safety survey, has evolved from a research to practice enterprise within the United States fire and rescue service. The FOCUS tool was developed through a FEMA Assistance to Firefighters Research & Development grant. Then it moved to practice in the field. To date over 35,000 firefighters have participated. A current FEMA Fire Prevention & Safety grant can support FOCUS assessment in up to 1,000 fire departments, with the potential of nearly 120,000 respondents. With each funding cycle, the goal of the FOCUS program is to grow and measure its research to practice impact. Methods: We describe how FOCUS safety culture results are disseminated to fire service stakeholders. By utilizing customized reports and a training curriculum we demonstrate how FOCUS is moving research to practice by: (1) illustrating how survey results can be delivered effectively to practitioners, (2) providing examples of how fire departments are using results, and (3) sharing the reactions of the fire service to the FOCUS instrument, reports, and our flagship data training curriculum – Culture Camp. Results' Conclusions: Qualitative and quantitative data are analyzed to demonstrate the impact and acceptance of the FOCUS report and Culture Camps. Stakeholders reflect on the report and the experience of having quantitative safety culture data. Culture Camps are evaluated qualitatively and quantitatively using a matching game exercise, pre/post-test, a fire department teach back, and a Qualtrics evaluation. Practical Applications: Traditionally, the fire service has focused on reducing negative safety outcomes. FOCUS is helping shift their attention further upstream in the prevention pathway through the measurement of important organizational outcomes. The research to practice evolution of the FOCUS program may hold utility for other occupational groups when considering how to steadily move occupational health and safety research to practice in the field for measurable impact.     

Income and distance-decay effects on willingness to pay estimated by the contingent valuation method

This study suggests a methodology for enhancing accuracy in evaluating amenity by the contingent valuation method when household's willingness to pay (WTP) is dependent to its income and the distance between a respondent's residence and the location of a target facility. Using a linear city model, this study demonstrates the influences of income and distance-decay effects on WTP. Simulations are performed to check the validity of the model, as well as to predict consequences when income and distance-decay effects are not properly treated. Finally, the suggested methodology is applied to two real cases. The estimation results from a structural model show that the calculated total benefit varies largely when income and distance-decay effects exist and are ignored. Also, an ad hoc model generates significantly different estimates from the utility difference model this study adopted. The difference in estimates suggests that the total benefit has to be estimated by a structural model.     

Optimal Reorganization of NASA Earth Science Data for Enhanced Accessibility and Usability for the Hydrology Community

A long‐standing “Digital Divide” in data representation exists between the preferred way of data access by the hydrology community and the common way of data archival by earth science data centers. Typically, in hydrology, earth surface features are expressed as discrete spatial objects (e.g., watersheds), and time‐varying data are contained in associated time series. Data in earth science archives, although stored as discrete values (of satellite swath pixels or geographical grids), represent continuous spatial fields, one file per time step. This Divide has been an obstacle, specifically, between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. and NASA earth science data systems. In essence, the way data are archived is conceptually orthogonal to the desired method of access. Our recent work has shown an optimal method of bridging the Divide, by enabling operational access to long‐time series (e.g., 36 years of hourly data) of selected NASA datasets. These time series, which we have termed “data rods,” are pre‐generated or generated on‐the‐fly. This optimal solution was arrived at after extensive investigations of various approaches, including one based on “data curtains.” The on‐the‐fly generation of data rods uses “data cubes,” NASA Giovanni, and parallel processing. The optimal reorganization of NASA earth science data has significantly enhanced the access to and use of the data for the hydrology user community.     

农地整理项目农户耕地损失补偿额度的实证研究——基于耕地资源价值与农户受偿意愿

从耕地资源价值出发,测算农地整理项目农户耕地损失补偿额度,并基于湖北省孝感市和潜江市的农户调查数据分析农户的受偿意愿及其影响因素。研究表明:基于耕地资源价值体系,测算得到孝感市和潜江市农地整理项目农户耕地损失补偿额度分别为1 449 695.76、1 784 296.17元/hm~2;农户所期望得到的耕地损失补偿标准远低于耕地资源价值体系测算出来的理论值,两市农户对耕地损失的平均受偿意愿额度为336 197.95元/hm~2,可以农户受偿意愿为主、耕地农业生产价值和社会保障价值为辅,制定农地整理项目农户耕地损失补偿标准;受教育程度对补偿标准有显著负向影响,农户文化程度的提高有助于提高其对农地整理事业的认知程度,进而促进我国农地整理事业的发展;土地权属调整是解决农户耕地损失的一项重要措施,做好农地整理项目土地权属调整工作需充分尊重农户的意愿,并以农业现代化作为土地权属调整的目标。     

农业机械化、非农就业与农民的承包地退出意愿

工业化和城镇化必然要求部分农民与农村土地"人地分离",农业生产方式的转变加快了上述进程。理论分析表明,农业机械的广泛使用,不仅可能对农民的承包地退出意愿直接产生正负两种作用,还可能会通过非农就业这一中介变量间接影响农民的退地意愿。为了考察当前我国农民的农村土地退出意愿以及农业机械化、非农就业对其造成的影响,本文首先采用两阶段随机抽样法,对河北、山东、河南三省九县(市、区)620个农户进行了问卷调查,发现相当一部分农民愿意有偿退出农村承包地,且对不同的退出方式有不同的选择偏好。利用上述农户调查数据,本文将农村承包地退出划分为"换工资收入"、"直接出售"和"被政府征用"三种具体方式,通过构建mvprobit模型,计量分析了农业机械化、非农就业与农民的承包地退出意愿之间的联系。研究发现,农业机械使用比例的提高会强化农民以承包地换养老保险等工资性收入的意愿,而农民对农机作业服务满意程度的提升,则会抑制其直接出售承包地或用之换养老保险等工资性收入的意愿。整体来看,农业机械化对农民"弃地进城"有显著的积极作用。非农就业是农业机械化影响农民退地意愿的中介变量,但它对退地意愿的作用不显著。成员非农就业较稳定的农户家庭,更愿意以一次性卖断(直接出售或被政府征用)的方式处置承包地。为了避免陷入"日韩陷阱",推动农业转型发展和农民市民化,需要实施农民的承包地退出制度,尽快为有意愿、有能力的进城农户彻底放弃农村土地提供制度出口。     

全球低碳发展评估及中国低碳发展的实现路径

低碳发展日益成为国际关注的热点问题,中国正处在快速工业化和城镇化进程当中,通过低碳发展实现经济社会转型尤为迫切。在全球大背景下正确判断中国的低碳发展水平,汲取各国有益的低碳发展经验,寻求适合中国的低碳发展路径尤为重要。从低碳发展特征指标变动出发,通过统计分析,得出全球低碳发展历史和现状水平,以及中国所处的位置。研究表明,近20年来全球碳生产力水平不断提高,近年来中国的碳生产力水平飞速提升,但是中国的碳生产力仍然远远低于全球平均水平,离先进国家的差距更大,不足法国的1/10,人均二氧化碳排放增速位居世界前列,减排压力巨大。因此,结合国内外实践经验,总结了中国低碳发展的5个实现路径,分别是调整能源结构、发展低碳产业、倡导低碳消费、建设低碳城市和加强碳汇建设。     

高铁网络可达性测度及经济潜力分析——以安徽省为例

高速铁路的开通给沿线城市的建设带来了重大影响。基于可达性测度以及修正的经济潜力模型,利用GIS对安徽省高铁可达性以及经济潜力进行深入分析。研究表明:(1)高铁开通后安徽省可达性显著提高,但总体格局保持不变,呈现出以合肥为中心,淮南、芜湖等地为副中心的"多核心"模式。池州、铜陵两城市可达性上升幅度最大,黄山紧随其后,芜湖、滁州变化最小。高铁开通后,滁州可达性排名下降5名,下降幅度最大,合肥、淮南、黄山最为稳定,其他城市均有小幅变化。(2)可达性的提升对城市经济潜力造成了一定影响,总体呈现出以合肥为中心的外围扩展模式。池州、铜陵经济潜力增长最为显著,黄山位列第3,可达性的提升直接影响了池州、铜陵、黄山三市的经济发展。高铁开通后,合肥、芜湖经济潜力排名始终位于前二,传统经济中心地位不变。马鞍山排名上升4名,幅度最大,池州、黄山两市处于末端,经济潜力仍然较为薄弱。(3)高铁开通后,时空收敛效应明显,可达性的提升令城市经济潜力增长显著,但受多方面因素影响,可达性与经济潜力呈现不完全契合关系。     

驾驶员风险认知能力对交通安全的影响

为辨别不同驾驶员风险认知能力对驾驶安全的影响。通过设置13种存在潜在风险的交通情景,引入惩罚用时机制,利用驾驶模拟器,对熟练驾驶员和非熟练驾驶员在风险认知培训前后的风险认知能力进行比较,找出不同驾驶员对风险认知的差异。试验结果显示,熟练驾驶员的风险认知能力比非熟练驾驶员要高,两者在引起交通风险的因素上是不同的,培训后的风险认知能力较之前有很大提高。培训能够拓宽驾驶员对潜在风险的认知程度,更好地将驾驶员的操作技能、知识体系和外在行为衔接在一起,从而减少交通事故的发生。     

The Value of Using Feasibility Models in Systematic Conservation Planning to Predict Landholder Management Uptake

Understanding the social dimensions of conservation opportunity is crucial for conservation planning in multiple‐use landscapes. However, factors that influence the feasibility of implementing conservation actions, such as the history of landscape management, and landholders’ willingness to engage are often difficult or time consuming to quantify and rarely incorporated into planning. We examined how conservation agencies could reduce costs of acquiring such data by developing predictive models of management feasibility parameterized with social and biophysical factors likely to influence landholders’ decisions to engage in management. To test the utility of our best‐supported model, we developed 4 alternative investment scenarios based on different input data for conservation planning: social data only; biological data only; potential conservation opportunity derived from modeled feasibility that incurs no social data collection costs; and existing conservation opportunity derived from feasibility data that incurred collection costs. Using spatially explicit information on biodiversity values, feasibility, and management costs, we prioritized locations in southwest Australia to control an invasive predator that is detrimental to both agriculture and natural ecosystems: the red fox (Vulpes vulpes). When social data collection costs were moderate to high, the most cost‐effective investment scenario resulted from a predictive model of feasibility. Combining empirical feasibility data with biological data was more cost‐effective for prioritizing management when social data collection costs were low (<4% of the total budget). Calls for more data to inform conservation planning should take into account the costs and benefits of collecting and using social data to ensure that limited funding for conservation is spent in the most cost‐efficient and effective manner.     

好氧颗粒污泥自生动态膜生物反应器处理碱减量印染废水

自生动态膜生物反应器(SFDMBR)接种颗粒污泥启动,研究溶解氧浓度和水力停留时间对该反应器处理碱减量印染废水的影响。自生动态膜生物反应器形成稳定的动态膜后,出水浊度小于10 NTU,系统对浊度的去除率在90%以上,溶解氧和水力停留时间对反应器出水浊度基本无影响。系统对废水色度的去除率随着溶解氧浓度的提高和水力停留时间的延长而增加,但是系统对色度的去除效率一般不超过40%。溶解氧浓度由0.3 mg/L逐渐增大至2.4 mg/L,COD的去除率由40%提升至80%,而当溶解氧浓度大于1.0 mg/L后,UV254的去除率达到95%。水力停留时间在8~48 h时,COD去除效率由65%逐渐上升至85%左右;水力停留时间在8~32 h,UV254去除效率为68%~93%,超过32 h后水力停留时间对UV254去除效率的影响已不明显。