Raising awareness of transport issues: The potential to bring about behavioural change?

Changes in the directions of transport policy in the UK in the last few years have led to a wider consideration of possible measures to bring about behavioural change, in particular measures which have the potential to reduce car dependence. Among the measures currently being implemented by local authorities are public awareness or travel awareness campaigns. This paper examines the findings of a research project which evaluated a travel awareness scheme in the context of an integrated transport policy. The research project monitored the attitudes, beliefs and intentions of a sample of the residents who had been targeted by the Maidstone Initiative for Sustainable Transport (MIST) implemented by Kent County Council and Maidstone Borough Council. The research project found some remarkably consistent attitudes about car and bus travel over a period of three years, It also found that whilst people seem to be aware of the impact of travel on the environment they do not consider the environmental impact with the same degree of importance as other attributes of travel. A further finding was a hidden desire to switch modes from the car. The paper will conclude by looking critically at the future for travel awareness campaigns.     

不同浓度的五氯酚对斑马鱼运动行为的影响

由于突发性水源污染频发,建立一种实时的风险监测评估系统十分迫切。本研究通过在线生物监测仪实时记录斑马鱼在五氯酚(PCP)中暴露前后的3D行为响应数据,分别从运动轨迹、游动速度(中值)、浮出水面频率及熵值4个指标分析斑马鱼的行为响应。结果表明：与对照组相比,暴露于低浓度(0.25、0.5 mg·L^-1)的PCP中的斑马鱼,其游动速度(中值)和熵值呈递减趋势,但趋势不明显,其浮出水面频率有不同程度的增加;而暴露于较高浓度(1.0、2.0 mg·L^-1)的PCP中的斑马鱼,其游动速度(中值)、浮出水面频率、熵值约有10 min的急速升高之后降低;暴露于高浓度(4.0 mg·L^-1)的PCP中的斑马鱼,所有指标均呈明显下降趋势。这表明斑马鱼的毒性行为响应随PCP的浓度变化而变化,所以可以通过监测鱼类的行为变化来反映水体的污染状况。因此,鱼类行为学研究在高浓度突发性水源污染的实时监测方面具有一定的应用前景。     

Incorporating behaviour into simple models of dispersal using the biological control agent Dicyphus hesperus

We explored the utility of incorporating easily measured, biologically realistic movement rules into simple models of dispersal. We depart from traditional random walk models by designing an individual-based simulation model where we decompose animal movement into three separate processes: emigration, between-patch movement, and immigration behaviour. These processes were quantified using experiments on the omnivorous insect Dicyphus hesperus moving through a tomato greenhouse. We compare the predictions of the individual-based model, along with a series of biased random walk models, against an independent experimental release of D. hesperus. We find that in this system, the short-term dispersal of these insects is described well by our individual-based model, but can also be described by a 2D grid-based biased random walk model when mortality is accounted for.     

Towards a complex model of disaster behaviour

This paper outlines why a move towards a complex adaptive systems model of behaviour is required if the goal is to generate better understanding of how individuals and groups interact with their environment in a disaster setting. To accomplish this objective, a bridge must be built between the broader social sciences and behavioural economics to incorporate discipline‐specific insights that are needed to move towards complexity. This is only possible through a deeper understanding of behaviour and how the environment in which they occur can influence actions. It is then that one can counteract the poor behavioural predictions, flawed policies based on myth, inefficient design, and suboptimal outcomes that have flourished in the absence of a complex adaptive systems model. This paper provides a conceptual framework that draws on concepts from across the natural and social sciences, such as behavioural economics, endocrinology, psychology, sociobiology, and sociology in order to build an interactive theory of disaster behaviour.     

Identifying fishing trip behaviour and estimating fishing effort from VMS data using Bayesian Hidden Markov Models

Recent advances in technologies have lead to a vast influx of data on movements, based on discrete recorded position of animals or fishing boats, opening new horizons for future analyses. However, most of the potential interest of tracking data depends on the ability to develop suitable modelling strategies to analyze trajectories from discrete recorded positions. A serious modelling challenge is to infer the evolution of the true position and the associated spatio-temporal distribution of behavioural states using discrete, error-prone and incomplete observations. In this paper, a Bayesian Hierarchical Model (HBM) using Hidden Markov Process (HMP) is proposed as a template for analyzing fishing boats trajectories based on data available from satellite-based vessel monitoring systems (VMS). The analysis seeks to enhance the definition of the fishing pressure exerted on fish stocks, by discriminating between the different behavioural states of a fishing trip, and also by quantifying the relative importance of each of these states during a fishing trip. The HBM approach is tested to analyse the behaviour of pelagic trawlers in the Bay of Biscay. A hidden Markov chain with a regular discrete time step is used to model transitions between successive behavioural states (e.g., fishing, steaming, stopping (at Port or at sea)) of each vessel. The parameters of the movement process (speed and turning angles) are defined conditionally upon the behavioural states. Bayesian methods are used to integrate the available data (typically VMS position recorded at discrete time) and to draw inferences on any unknown parameters of the model. The model is first tested on simulated data with different parameters structures. Results provide insights on the potential of HBM with HMP to analyze VMS data. They show that if VMS positions are recorded synchronously with the instants at which the process switch from one behavioural state to another, the estimation method provides unbiased and precise inferences on behavioural states and on associated movement parameters. However, if the observations are not gathered with a sufficiently high frequency, the performance of the estimation method could be drastically impacted when the discrete observations are not synchronous with the switching instants. The model is then applied to real pathways to estimate variables of interest such as the number of operations per trip, time and distance spent fishing or travelling.     

Social network properties within a fish assemblage invaded by non-native sunbleak Leucaspius delineatus

Network theory is commonly used to reveal social interactions and the organisation of interconnected nodes—but has not yet been applied to animal invasions. Non-native species invasions are now considered one of the foremost threats to natural ecosystems and biodiversity. This is the first attempt to assess social network properties within a freshwater fish assemblage invaded by a non-native fish species. We show that invasive sunbleak Leucaspius delineatus is socially more strongly interconnected with native species than the native species with each other. The social networks also reveal characteristics of a ‘small world’ such as low clustering coefficients C and short path lengths L. The findings may indicate potential traits of successful invaders and the implication for the spread of pathogens between individuals within a group of animals that contain a non-native invasive species. The success of establishment and subsequent invasion may be highlighted not only by the capacity of the new species to adapt to the new environment, but also in its capacity to penetrate the social circle of the native community.     

Predation, scramble competition, and the vigilance group size effect in dark-eyed juncos (Junco hyemalis)

In socially feeding birds and mammals, as group size increases, individuals devote less time to scanning their environment and more time to feeding. This vigilance “group size effect” has long been attributed to the anti-predatory benefits of group living, but many investigators have suggested that this effect may be driven by scramble competition for limited food. We addressed this issue of causation by focusing on the way in which the scan durations of free-living dark-eyed juncos (Junco hyemalis) decrease with group size. We were particularly interested in vigilance scanning concomitant with the handling of food items, since a decrease in food handling times (i.e. scan durations) with increasing group size could theoretically be driven by scramble competition for limited food resources. However, we showed that food-handling scan durations decrease with group size in an environment with an effectively unlimited food supply. Furthermore, this food-handling effect was qualitatively similar to that observed in the duration of standard vigilance scans (scanning exclusive of food ingestion), and both responded to changes in the risk of predation (proximity of a refuge) as one might expect based upon anti-predator considerations. The group size effects in both food-handling and standard scan durations may reflect a lesser need for personal information about risk as group size increases. Scramble competition may influence vigilance in some circumstances, but demonstrating an effect of competition beyond that of predation may prove challenging. Received: 22 September 1998 / Received in revised form: 1 February 1999 / Accepted: 14 February 1999     

The feeding behaviour of Schistocerca gregaria,the desert locust,on two starch mutants of Arabidopsis thaliana

Summary. Schistocerca gregaria, the desert locust, has been shown to regulate its dietary intake with respect to specific macronutrients in synthetic foods. This study examined the nutrients in the leaves of two starch mutants of Arabidopsis thaliana, and then compared the feeding behaviour of locusts on the two starch mutants. The high-starch mutant had c. 25 times more starch than the no-starch mutant. Newly molted 5th stadium locusts were preconditioned for 3 days on one of the mutants, and then observed for 90 min while exposed to the same or the alternative mutant. Locusts pretreated with the no-starch mutant fed longer during the first meal on high-starch mutants, spent more time feeding, and had the smaller latency to begin a meal when compared to the locusts pretreated on the high-starch mutant. The results of the study are interpreted in light of an integrative model of nutrient balancing. Received 16 November 1999; accepted 23 December 1999     

有冰海区中的溢油行为

在冰海区中的溢油事故直接污染海洋环境。本文介绍了国外对溢油在有冰海区中行为的研究。研究表明，与温水中有很大的不同在于，结冰海区溢油行为与冰的密集度、冰厚及冰的类型等有关。本文学介绍了国内第一个为海洋管理服务的渤海有冰海区溢油行为数值计算模拟。     

实施行为安全修正机制的探讨

行为安全修正理论是在“行为ABC”心理学研究的基础上提出的改变人的行为的理论,它通过变革型领导的领导方式来获得员工对组织的信任,并通过强化行为的实施结果对行为人本身的影响来强化人们实施安全的或是考虑更加安全的工作方法.本文通过对国内外一些相关研究进行回顾和对比,结合行为心理学理论,对行为安全的要旨进行了概述,并指出通过...