高速公路建设对植被的影响及绿化补偿效应分析--以信(阳)-泌(阳)高速公路为例

在生态环境现状分析基础上,研究建设项目对评价区植被及生产力的影响.结果表明,拟建的信阳至南阳高速公路工程永久占用基本农田449.4hm2,永久占地造成的农作物产量损失约704045kg/a;工程建设将使评价区植被覆盖率减少0.10%～1.35%;公路绿化可以在一定程度补偿植被损失,10%～37%的植被损失可以得到补偿;工程建设将造成评价区生物量损失约68.5672T·km-2·a-1,绿化补偿约12.1659T·km-2·a-1.补偿率约为14.8%～22.3%.针对存在的问题提出了植被恢复和补偿建议.     

Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey

Objective: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fault rates related to procession of accidents which just represents the type of collision (side impact, head to head, rear end, etc.) in No. 2918 Turkish Highway Traffic Act (THTA 1983). The aim of this study is to introduce a scientific and systematic approach for determination of fault rates in most frequent property damage–only (PDO) traffic accidents in Turkey.

Methods: In this study, data (police reports, skid marks, deformation, crush depth, etc.) collected from the most frequent and controversial accident types (4 sample vehicle–vehicle scenarios) that consist of PDO were inserted into a reconstruction software called vCrash. Sample real-world scenarios were simulated on the software to generate different vehicle deformations that also correspond to energy-equivalent speed data just before the crash. These values were used to train a multilayer feedforward artificial neural network (MFANN), function fitting neural network (FITNET, a specialized version of MFANN), and generalized regression neural network (GRNN) models within 10-fold cross-validation to predict fault rates without using software. The performance of the artificial neural network (ANN) prediction models was evaluated using mean square error (MSE) and multiple correlation coefficient (R).

Results: It was shown that the MFANN model performed better for predicting fault rates (i.e., lower MSE and higher R) than FITNET and GRNN models for accident scenarios 1, 2, and 3, whereas FITNET performed the best for scenario 4. The FITNET model showed the second best results for prediction for the first 3 scenarios. Because there is no training phase in GRNN, the GRNN model produced results much faster than MFANN and FITNET models. However, the GRNN model had the worst prediction results. The R values for prediction of fault rates were close to 1 for all folds and scenarios.

Conclusions: This study focuses on exhibiting new aspects and scientific approaches for determining fault rates of involvement in most frequent PDO accidents occurring in Turkey by discussing some deficiencies in THTA and without regard to initiative and/or experience of experts. This study yields judicious decisions to be made especially on forensic investigations and events involving insurance companies. Referring to this approach, injury/fatal and/or pedestrian-related accidents may be analyzed as future work by developing new scientific models.     

大型水电工程构建双重预防机制的探索与实践——以白鹤滩水电站为例

为有效遏制大型水电工程中重特大事故的发生,探索并构建双重预防机制。以白鹤滩水电站为例,系统介绍双重预防机制构建流程,在大量工程项目风险控制实践的基础上,总结提炼出“以安全设计减少风险源头、以本质安全强化风险管控、以安全隐患微信系统深化隐患排查治理”作为重要途径和手段。结果表明:以建设单位为主导,在参建单位主动参与的管理模式下,使用反馈分析并持续改进的方法,可形成统一、规范、高效的双重预防机制。     

The Merseyside Accident Information Model (MAIM) can reveal components of accidents that lead to attendance at fracture clinics and cause disability: a new approach to accident prevention

The objectives of this study were to identify components of accidents that cause the most disability and to discover the principal sources of injuries treated in the fracture clinics. Patients attending fracture clinics of the Royal Liverpool University Hospital were interviewed using a portable computer-based questionnaire, the Merseyside Accident Information Model (MAIM). Patients were followed up by telephone interview or letter to enquire about disability continuing after discharge. Disability was measured by the pre-accident to post-discharge changes in scores for 11 normal functions. Of the 1326 patients interviewed, 900 (68%) were successfully followed up and 37% reported disability after discharge. First events ‘tripping’, ‘slipping’ and ‘other underfoot events’ accounted for 433 patients (194 reporting disability), and ‘collapsed/fainted — no other event' for 66 patients (27 reporting disability). Activities at the time of accident most frequently associated with disability involved moving about on foot. Among first event objects, ground surfaces and underfoot hazards were reported in 35%. Sources of injuries included underfoot accidents (48%), sport (13%), and transport accidents (12%.). Underfoot accidents contributed to 58% of patients reporting disability, sport 6% and transport accidents 11%. Underfoot accidents together with ‘collapsed/fainted — no other event’ accounted for 79% of female patients reporting disability and 50% of men. Such data could be used for cost-effective targeting of preventative measures, and to study the effectiveness of accident prevention initiatives.     

An integrated approach to assessing the environmental and health impacts of pollution in the urban environment: Methodology and a case study

This paper presents a new decision-support methodology and software tool for sustainable management of urban pollution. A number of different methods and tools are integrated within the same platform, including GIS, LCA, fate and transport modelling, health impact assessment and multi-criteria decision analysis. The application of the framework is illustrated on a case study which investigates the environmental and health impacts of pollution arising from different industrial, domestic and transport sources in a city. The example city chosen for the study is Sheffield, UK, and the main pollutants considered are NO_x, SO₂ and PM10. The results suggest that the absence of the current large industrial sources in the city would lead to a 90% reduction of the SO₂ and 70% of the NO₂ ground concentrations, consequently preventing 27 deaths and 18 respiratory hospital admissions per annum for a population of 500,000. Based on the total annual mortality and hospital admissions in Sheffield for the year of the assessment, this means that 0.53% of premature deaths and 0.49% of respiratory hospital admissions would be prevented by the estimated reduction in air pollution.     

Using a pattern‐oriented approach to study leaders: Implications for burnout and perceived role demand

Using a pattern‐oriented approach, we identified clusters of leaders who shared theoretically meaningful combinations of transformational, contingent reward, management by exception active, management by exception passive, and laissez‐faire leadership styles. Drawing upon conservation of resources theory, we examined whether leaders who shared a similar pattern of leadership styles differed from leaders who belonged to other profile groups, with respect to felt burnout and perceived role demands. Hypotheses were tested using a time‐lagged field study involving 183 leaders. Using latent profile analyses, we found four theoretically interpretable patterns. Leaders who belonged to the comprehensive cluster (elevated scores on the transformational, contingent reward, and the passive styles; 14.2%) experienced the highest levels of burnout and role demands, whereas those who were disengaged (low scores on all styles; 33.3%) reported the lowest levels. Leaders who exhibited a passive behavioral pattern (elevated scores on management by exception active, management by exception passive, and laissez‐faire relative to the other styles; 27.3%) experienced more burnout and role demands than did leaders who exhibited an optimal pattern (elevated scores on transformational and contingent reward styles relative to the passive styles; 25.1%). The theoretical and practical implications of a pattern‐oriented approach to leadership research were discussed. Copyright © 2017 John Wiley & Sons, Ltd.