Abstract：
Human performance in the rail freight yard has been identified as a source of risk for rail freight operations. This is both within the yard itself, and also with train preparation issues leading to incidents on the network. The rail freight yard is an area that has received limited research attention. Over 30 hours of observations were conducted at five major freight yards in Great Britain, along with 30 interviews of rail freight ground staff. Task models, human performance factors and potential solutions that were further explored in a workshop with freight personnel. This analysis led to an understanding of freight yard activities, the impact of freight yard design and environment, and the role external pressures on freight yard performance including upstream planning. The implications are discussed for both current freight operations, and for future technology and process change within the rail freight sector.
Human performance in the rail freight yard is critical to safety and performance, but receives little research attention. A structured study included observations in the yard, interviews with ground staff, and a validation workshop. Results include task models, influencing factors, potential solutions and implications for future technology and process change.
Human performance in the rail freight yard is critical to safety and performance, but receives little research attention. A structured study included observations in the yard, interviews with ground staff, and a validation workshop. Results include task models, influencing factors, potential solutions and implications for future technology and process change.
摘要：
铁路货运场的人力绩效已被确定为铁路货运运营的风险来源。这两者都在院子里，以及导致网络事件的培训准备问题。铁路货场是一个研究关注有限的领域。在英国的五个主要货运场进行了30多个小时的观察，以及30名铁路货运地面工作人员的采访。任务模型,在与货运人员的研讨会上进一步探讨了人的绩效因素和潜在的解决方案。这一分析导致了对货场活动的理解，货场设计和环境的影响，以及外部压力对货场性能的影响，包括上游规划。讨论了当前两种货运业务的含义，以及铁路货运部门未来的技术和流程变革。
铁路货场的人力性能对安全和性能至关重要，但很少受到研究关注。一个结构化的研究包括在院子里的观察，采访地面工作人员,和一个验证研讨会。结果包括任务模型，影响因素，对未来技术和流程变革的潜在解决方案和影响。
铁路货场的人力性能对安全和性能至关重要，但很少受到研究关注。一个结构化的研究包括在院子里的观察，采访地面工作人员,和一个验证研讨会。结果包括任务模型，影响因素，对未来技术和流程变革的潜在解决方案和影响。
