Systematic review of conservation interventions to promote voluntary behavior change

Understanding human behavior is vital to developing interventions that effectively lead to proenvironmental behavior change, whether the focus is at the individual or societal level. However, interventions in many fields have historically lacked robust forms of evaluation, which makes it hard to be confident that these conservation interventions have successfully helped protect the environment. We conducted a systematic review to assess how effective nonpecuniary and nonregulatory interventions have been in changing environmental behavior. We applied the Office of Health Assessment and Translation systematic review methodology. We started with more than 300,000 papers and reports returned by our search terms and after critical appraisal of quality identified 128 individual studies that merited inclusion in the review. We classified interventions by thematic area, type of intervention, the number of times audiences were exposed to interventions, and the length of time interventions ran. Most studies reported a positive effect (n = 96). The next most common outcome was no effect (n = 28). Few studies reported negative (n = 1) or mixed (n = 3) effects. Education, prompts, and feedback interventions resulted in positive behavior change. Combining multiple interventions was the most effective. Neither exposure duration nor frequency affected the likelihood of desired behavioral change. Comparatively few studies tested the effects of voluntary interventions on non-Western populations (n = 17) or measured actual ecological outcome behavior (n = 1). Similarly, few studies examined conservation devices (e.g., energy-efficient stoves) (n = 9) and demonstrations (e.g., modeling the desired behavior) (n = 5). There is a clear need to both improve the quality of the impact evaluation conducted and the reporting standards for intervention results.     

Exploration of relationships between safety performance and unsafe behavior in the Chinese oil industry

Safety performance is comprised of two components, safety compliance and safety participation. However, relationships between safety performance and unsafe behavior have not been thoroughly investigated. In this work, scales for safety compliance and safety participation were revised for use in the oil industry, and job burnout scale was developed on the basis of the Maslach Burnout Inventory-General Survey (MBI-GS). A structural equation model was then employed to investigate the interactions of these factors for 238 front-line oil workers from the PetroChina Huabei Oilfield Company in China. From the results, it was determined that workers' unsafe behavior could not be reduced significantly solely from these two dimensions of safety performance. Compared with safety participation, safety compliance was found to have a greater influence on unsafe behavior. However, job burnout was found to be a significant moderator between these two components and unsafe behavior. Furthermore, it was determined that oil workers' occupational psychological health conditions must be taken into account to improve organizational safety management and reduce workers’ unsafe behavior.     

收入差距是否影响环境质量?——国内外研究综述

近年来,收入差距扩大与环境质量恶化成为许多国家同时面临的问题,也让一些经济学家开始思考,这两者之间是否存在关联。继20世纪90年代环境库兹涅茨曲线提出以来,一些研究发现不仅收入的绝对水平会对环境质量产生影响,收入差距对环境质量也有影响。本文对这一课题的理论研究进行了梳理,发现现有理论中收入差距对环境质量的影响途径主要有三条。第一条途径是消费者途径,即收入差距影响着以消费为主的个人经济行为,进一步影响着社会消费总量和消费结构,及其过程中产生的污染总量。第二条途径是企业途径,即认为收入差距的扩大会削弱环保型产品的正外部性,不利于环保技术的创新活动,对未来环境质量的改善产生动态影响。第三条途径是政府途径,即认为收入差距会影响相关的环境政策方式与强度选择;而且在不同的社会政策决策机制下,收入差距对环境政策的影响也是不同的,现有的社会决策机制分析框架主要有两种——权利权重型社会决策规则和简单多数规则。此外,本文还对现存的主要实证研究进行了总结,发现大多数研究结论都支持收入差距对环境质量存在着影响,但这种影响并不是线性的。一方面,收入差距对环境的影响与研究的污染物种类有关,大多数研究都显示,收入不平等对CO 2排放和土壤污染存在着负向影响,但有关收入差距对空气污染和水污染影响的研究结论并不统一或并不显著。另一方面,这种影响还与经济发展水平相关,在高收入国家与低收入国家是不同的,存在着阈值效应。最后本文总结了针对中国的研究现状,讨论了其在我国的适用性。     

两地区涂层板自然老化和评价方法的比较

将不同颜色(红色、海蓝、白灰)的三种涂层板分别置于热带乡村气候区和热带海洋气候区进行大气暴露5年,每年对样品进行外观评估、颜色和光泽测量;收集相关气象数据,比较两地区涂层老化的差异;建立涂层板老化曲线模型,比较不同评估方式,得出光泽和色差模型可以反映材料的老化过程。     

E-bikers’ braking behavior: Results from a naturalistic cycling study

Abstract

Objective: The number of e-bike users has increased significantly over the past few years and with it the associated safety concerns. Because e-bikes are faster than conventional bicycles and more prone to be in conflict with road users, e-bikers may need to perform avoidance maneuvers more frequently. Braking is the most common avoidance maneuver but is also a complex and critical task in emergency situations, because cyclists must reduce speed quickly without losing balance. The aim of this study is to understand the braking strategies of e-bikers in real-world traffic environments and to assess their road safety implications. This article investigates (1) how cyclists on e-bikes use front and rear brakes during routine cycling and (2) whether this behavior changes during unexpected conflicts with other road users.

Methods: Naturalistic data were collected from 6 regular bicycle riders who each rode e-bikes during a period of 2 weeks, for a total of 32.5?h of data. Braking events were identified and characterized through a combined analysis of brake pressure at each wheel, velocity, and longitudinal acceleration. Furthermore, the braking patterns obtained during unexpected events were compared with braking patterns during routine cycling.

Results: In the majority of braking events during routine cycling, cyclists used only one brake at a time, favoring one of the 2 brakes according to a personal pre-established pattern. However, the favored brake varied among cyclists: 66% favored the rear brake and 16% the front brake. Only 16% of the cyclists showed no clear preference, variously using rear brake, front brake, or combined braking (both brakes at the same time), suggesting that the selection of which brake to use depended on the characteristics of the specific scenario experienced by the cyclist rather than on a personal preference. In unexpected conflicts, generally requiring a larger deceleration, combined braking became more prevalent for most of the cyclists; still, when combined braking was not applied, cyclists continued to use the favored brake of routine cycling. Kinematic analysis revealed that, when larger decelerations were required, cyclists more frequently used combined braking instead of single braking.

Conclusions: The results provide new insights into the behavior of cyclists on e-bikes and may provide support in the development of safety measures including guidelines and best practices for optimal brake use. The results may also inform the design of braking systems intended to reduce the complexity of the braking operation.     

Minimizing the cost of translocation failure with decision‐tree models that predict species’ behavioral response in translocation sites

The high number of failures is one reason why translocation is often not recommended. Considering how behavior changes during translocations may improve translocation success. To derive decision‐tree models for species’ translocation, we used data on the short‐term responses of an endangered Australian skink in 5 simulated translocations with different release conditions. We used 4 different decision‐tree algorithms (decision tree, decision‐tree parallel, decision stump, and random forest) with 4 different criteria (gain ratio, information gain, gini index, and accuracy) to investigate how environmental and behavioral parameters may affect the success of a translocation. We assumed behavioral changes that increased dispersal away from a release site would reduce translocation success. The trees became more complex when we included all behavioral parameters as attributes, but these trees yielded more detailed information about why and how dispersal occurred. According to these complex trees, there were positive associations between some behavioral parameters, such as fight and dispersal, that showed there was a higher chance, for example, of dispersal among lizards that fought than among those that did not fight. Decision trees based on parameters related to release conditions were easier to understand and could be used by managers to make translocation decisions under different circumstances. Minimizar el Costo del Fracaso de la Reubicación con Modelos de Árboles de Decisión que Predigan la Respuesta Conductual de la Especie en los Sitios de Reubicación     

Driving concerns among older adults: Associations with driving skill,behaviors, and experiences

Objectives: The purpose of this investigation was to determine what older adults find most concerning about driving as they age and how these concerns are related to driving skill, behaviors, and experiences.

Methods: In partnership with the Maryland Motor Vehicle Administration, a sample of 751 older adults ages 65 and older completed an online survey between October 2017 and May 2018. A content analysis was used to code open-ended responses about driver concerns, and multivariate logistic regression models were used to analyze the associations between driving concerns and driving skill, behavior, and experiences.

Results: Eighty-four percent of participants reported at least one driving concern, with 44% concerned about others’ driving, 34% concerned about their own driving, and 24% concerned about driving conditions. The most frequently mentioned driving concerns were other drivers in general, driving at night, visual ability and awareness, and other drivers being aggressive or reckless. Being concerned with their own driving was significantly associated with decreased perceived driving skill and increased odds of experiencing negative driving experiences in the past year. Being concerned about others’ driving was associated with increased odds of wearing a seat belt (adjusted odds ratio [AOR]?=?2.67; 95% confidence interval [CI], 1.02, 7.00), having high perceived driving skills in emergency situations (AOR = 1.56; 95% CI, 1.14, 2.12), and getting in a near crash or collision in the past year (AOR = 1.50; 95% CI, 1.04, 2.18).

Conclusions: Older adult drivers are frequently concerned about their own driving as well as the driving of others. Implications for future research and health practice are discussed.     

Interactive mechanism of working environments and construction behaviors with cognitive work analysis: an elevator installation case study

Unsafe behavior is a leading factor in accidents, and the working environment significantly affects behaviors. However, few studies have focused on detailed mechanisms for addressing unsafe behaviors resulting from environmental constraints. This study aims to delineate these mechanisms using cognitive work analysis (CWA) for an elevator installation case study. Elevator installation was selected for study because it involves operations at heights: falls from heights remain a major cause of construction worker mortality. This study adopts a mixed research approach based on three research methodology stages. This research deconstructs the details of the working environment, the workers’ decision-making processes, the strategies chosen given environmental conditions and the conceptual model for workers’ behaviors, which jointly depict environment–behavior mechanisms at length. By applying CWA to the construction industry, environmental constraints can easily be identified, and targeted engineering suggestions can be generated.     

高层官员地震应急演练中应急决策行为的质性分析

为了研究高层官员在非常规突发事件应对中的决策行为,通过地震应急演练,从决策建议的影响、决策对象的选择与优先级排序等方面对决策样本进行质性分析。应用NVivo12软件对某次高层官员参与的特大地震应急决策演练中采集的45份决策样本,在结构化处理的基础上确定编码标准,遍历样本并对应急决策编码,得到观测数据并进行分析。研究结果表明,演练中的高层官员决策行为有以下3方面特征:受决策建议影响明显;在灾情、舆情以及基础设施等方面有自主决策;不同层级间对决策权重排序存在显著差异。     

New directions for exploring the consequences of proactive behaviors: Introduction to the special issue

This special issue introduces new directions for exploring the consequences of proactive behaviors. The authors summarize the new scopes of consequences, new social contexts, and new methods in this exploration. They also identify several limitations of the existing literature and call for more future research in this stream.