Dairy farm worker milking equipment training with an E-learning system.

In many farms, the logistics of on-farm training are a limiting factor due to communication challenges in the workplace (i.e., cultural differences, language barriers, impaired listening skills) and limited access to industry professionals. The use of E-learning systems may help to improve communication and can be sensitive to cultural challenges. The objectives of this study were to (1) identify how many of the high-priority problems in the milking parlor relate to milker training in the areas of milking equipment and milking routine, (2) design and test an E-learning training system for dairy farm milkers related to milking equipment, and (3) gain feedback targeted to improve subsequent E-learning training modules. An interactive online training course on basic checks of the milking equipment was developed with a cloud-based authoring software. A total of 95 dairy farm workers on 15 commercial dairy farms in northern New York State (USA) were trained and participated in the study. Milk quality professionals performed an initial evaluation of 3 main areas: equipment analysis, milker assessment, and cow assessment. The 3 most important risk factors for mastitis were summarized for each farm. A training event was scheduled with milkers guided by a bilingual (English and Spanish) professional in milk quality. Over 50% of the farms (8/15) had one or more of the top 3 priorities involving problems with milking equipment, which milkers could have detected and reported to management. All participants completed the module, 95% stated that they felt capable of checking the equipment before milking, and 86% felt more confident in reporting equipment problems to the manager after having taken the course. There were also differences between managers' and milkers' statements on how and whether milking equipment training was offered or not on the farm. This can be explained due to the lack of or secondary to poor communication between managers and employees on training objectives and goals on the farm. Our results also show that milking equipment issues which milkers could detect and report are common on dairy farms and reinforces the need for additional milker training in this area.

Safety of freeway median high occupancy vehicle lanes: a comparison of aggregate and disaggregate analyses.

This paper addresses safety issues associated with High Occupancy Vehicle (HOV) lanes constructed along freeway medians, without physical separation from adjacent traffic. Data associated with operation of such an HOV facility in Southern California are analyzed relative to the pattern of accidents on the facility and the potential role of congestion. Detailed analyses of accident characteristics point out that potentially false conclusions regarding the safety of HOV lanes can be drawn from simple analyses that are based on aggregate measures of accident frequencies and assumed traffic volumes.

An analysis of the severity and incident duration of truck-involved freeway accidents.

Data associated with over 9000 accidents involving large trucks and combination vehicles during a two-year period on freeways in the greater Los Angeles area are analyzed relative to collision factors, accident severity, and incident duration and lane closures. Relationships between type of collision and accident characteristics are explored using log-linear models. The results point to significant differences in several immediate consequences of truck-related freeway accidents according to collision type. These differences are associated both with the severity of the accident, in terms of injuries and fatalities, as well as with the impact of the accident on system performance, in terms of incident duration and lane closures. Hit-object and broadside collisions were the most severe types in terms of fatalities and injuries, respectively, and single-vehicle accidents are relatively more severe than two-vehicle accidents. The durations of accident incidents were found to be log-normally distributed for homogeneous groups of truck accidents, categorized according to type of collision and, in some instances, severity. The longest durations are typically associated with overturns.