Testing the Effects of Constraints on Climate Change–Friendly Behavior among Groups of Australian Residents

This study explores the relationship between Australian's attitudes toward climate change impacts on the Great Barrier Reef (GBR) and environmentally responsible behavior (ERB). We hypothesize that general attitudes toward climate change, subjective norms, and perceived behavioral control predict intended and reported behavior, and that attitude negatively influences constraints on adopting ERB. The moderating effect of residential condition (urban vs. rural contexts) was tested across these hypothesized relationships. We randomly selected 200 individuals from eight regions: Five within 50 km of the GBR Coastline and three from the Statistical Metropolitan Areas in Australia. We yielded 1,623 surveys by telephone interviews. Findings confirm our hypotheses and suggest the most important predictor of intentions is perceived behavioral control. The two groups of respondents (urban vs. rural) illustrate different relationships. This study offers insight on how managers of the GBR can effectively shape residents' behavioral tendencies that minimize human impacts on the natural environment.     

Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk

The second part of the state-of-the-art focuses on the development of the founders' double streams explaining single-outcome indicators (probability of accidents and fatalities, respectively) by fixed form regression, as outlined in the Part 1. Following Page (1997, pp. 67–122, 2001) and others, we use as turning point of the evolution of both aggregate and discrete approaches the DRAG-1 model of 1984, itself based on aggregate data, which introduced four key innovations in principle applicable to both streams.     

A cause of oversupply and failure in the shipping market: measuring herding behavior effects

ABSTRACT

The shipping market is volatile. In general, the shipping market cycle shows four stages, through—recovery—peak—collapse, while a upward trend lasts for 7~8 years and a downward trend for another 7~8 years. So the market’s bubble is not sustainable but always ends in a recessionary trend. The economic cycle is common knowledge and an axiom of the shipping industry, but many ship-owners take no account of it. Previous study stated that ship-owners’ fears, triggered by a violently changeable market, make them mimic the crowd mind or herd mentality, following market sentiment. This study aims to measure the effects of herding behavior (HB), triggered by market sentiment, on the shipping market. We attempt to address two research questions: (1) How does HB arise, and what course does it follow? (2) How many vessels (or how many tons) were purchased under the influence of HB? We estimate that 50.5% (227.8 vessels) of the total vessels or 30.4% (3,670.2 tons) of the total tonnage were purchased under the influence of HB. Looking at international finance, we found that ship investment HB is a very strong factor of the recent shipping market, at least in Korea.     

Peak current control strategy with extended-state tracking compensator for DC-DC in hybrid energy storage system

Because variations of ultra-capacitor voltage and battery voltage generate subharmonic and chaotic behaviors in hybrid energy storage system (HESS) application when a DC-DC converter is under the peak current control, a novel digital control strategy, i.e., peak current control with extended-state tracking compensator, is introduced to deal with the stability. The gains of the control algorithm are selected based on pole locations formulated from the Bessel filter. The simulation results validate that under the peak current control strategy with compensator, the DC-DC converter does not have the subharmonic and chaotic behaviors. The response time under the peak current control with compensator is the same as that under the peak current control. The ripple voltage and ripple current of battery are less. The tracking error of inductor current tends to zero.     

初始应力状态对加固后混凝土梁力学性能的影响

加固后混凝土梁的力学行为与加固时的既有截面初始应力状态密切相关,为了解在不同的初始应力状态下加固混凝土梁的力学性能,通过模型试验,对3片结构参数相同的混凝土试验梁,分别在不同的初始应力状态下采用增大截面法加固,并进行正常使用极限状态与承载能力极限状态下的加载试验,对试验梁的承载力、钢筋与混凝土的应变及裂缝发展过程进行分析。结果表明:在不同的初始应力状态下,加固混凝土梁的正常使用极限状态的承载力存在明显差别;加固后混凝土梁的变形不满足平面假定,其承载力计算必须考虑分阶段受力的影响;初始应力状态对极限承载力影响不大。     

公交驾驶员驾驶行为对油耗的影响及其评价指标

基于通过车辆无线远程监控系统采集的天津市某公交线路6位不同驾驶员累计达2.5万km的车辆运行数据,分析了描述驾驶员驾驶行为的车辆相对正加速度、加速踏板行程分布和换挡切换速度分布3个因素对行车油耗的影响。再采用因子分析法将3种影响因素归纳成一个综合评价因子。结果表明,该综合评价因子与行车油耗的相关系数达到0.9,可作为驾驶员驾车油耗的有效评价指标。     

雾天对驾驶行为的影响研究——避撞驾驶行为

考虑雾天环境下不良视距对驾驶行为的影响,基于驾驶模拟器为实验平台,通过对46名实验人员在不同雾天实验场景下的测试来分析雾天对驾驶人紧急避撞行为的影响.选取一组非平衡重复测量数据,以刹车瞬时速度和刹车反应时间为因变量,将性别、职业作为固定效应,雾天作为重复测量变量建立线形混合效应模型,并采用SPSS求解.结果表明,在无雾、轻雾与浓雾环境下,驾驶人的平均刹车反应时间分别是1.22,1.26,1.56s,而平均刹车瞬时速度分别为68.10,45.53,48.85 km/h.与无雾环境相比,驾驶人在有雾环境下的可视距离受到限制,刹车反应时间分别增加了0.04 s和0.34s,刹车瞬时速度分别减少了22.57 km/h和19.25 km/h.     

基于车载信息调度的驾驶行为控制分析

车载信息系统可向驾驶人提供丰富信息,从而影响驾驶行为,提高道路交通系统运行安全效率.但目前车载信息发布形式与内容并不完善,对驾驶行为控制作用差.为了提高驾驶安全水平,从驾驶人驾驶行为的信息调节特性人手,分析了车载信息不同表达方式及其对驾驶行为控制作用,并探讨将信息进程与驾驶行为进程交互融合.从信息调度的角度,分析车载信息调度形式、参数及可调度的信息集合,分析调度过程,并举例说明如何通过信息调度实现驾驶行为控制,提高车辆运行的安全性、可靠性.研究结果表明,车载信息系统通过发布车载信息影响驾驶行为,能够在一定程度上达到驾驶行为控制目的.针对驾驶人的多感官复合感知特性,将信息进程与行为进程相互融合,采用多种形式的信息调度,能够有效提高其对驾驶行为控制作用.     

驾驶心理对交通安全的影响

分析驾驶心理对交通安全造成的影响,并总结其中的主要因素.通过文献调研,综述了驾驶心理的主要过程和关键特征对交通安全的不同影响,并分析了驾驶心理对交通安全的影响方式.驾驶心理已经成为引发交通事故的重要因素之一,驾驶心理通过影响驾驶员的行为,间接地对交通安全产生影响,其中知觉、注意、态度、驾驶疲劳等是影响交通安全的主要因素.了解驾驶人行为的心理机制,有助于找到改善交通安全的方法,研究发现通过改变驾驶人态度是1种有效的途径.