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Pedestrian and bicycle safety on a college campus: Crash and conflict analyses with recommended design alternatives for Clemson University.

机译:大学校园中的行人和自行车安全:克莱姆森大学的碰撞和冲突分析以及推荐的设计替代方案。

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摘要

The primary goal of this study is to investigate pedestrian and bicycle safety qualitatively and quantitatively on the campus of Clemson University and to provide recommendations for safety improvement based on these analyses. Because of heavy pedestrian and bicycle volumes, the well-being of these users is critical to the overall safety culture of a university. The analysis of crashes, pedestrian-vehicle conflict data, vehicular speeds and volumes, and crosswalk facility characteristics on Clemson's campus enabled the development of a prioritization scheme for the selection of pedestrian crossing sites for design improvement. These data components were utilized in verifying the validity of current pedestrian safety rating models developed in urban/suburban contexts, the Pedestrian Intersection Safety Index and the Midblock Level of Service, and their applicability to rural college campus settings.;The findings of the research study provided the impetus for the development of a conflict prediction model for campus applications using data from 69 of Clemson's crossing locations. Indicative variables included in the conflict prediction model included type of crossing (stop controlled marked, signal controlled marked, midblock marked, uncontrolled marked, and unmarked), crossing width, marking type (brick, ladder, zebra, parallel line), 85 th percentile vehicle speed, pedestrian volume, conflicting vehicle volume, and on-street parking presence. The benefits of this method are twofold: the model can be used as a prioritization tool while deciding areas on campus to improve, and the model can also be used to measure the potential benefits of implementing countermeasures by quantifying potential pedestrian-vehicle conflict reductions.
机译:这项研究的主要目的是在克莱姆森大学校园内定性和定量地研究行人和自行车的安全性,并根据这些分析为改善安全性提供建议。由于行人和自行车的体积大,这些使用者的健康状况对于大学的整体安全文化至关重要。通过对克莱姆森校园内的交通事故,行人车辆冲突数据,行车速度和交通量以及人行横道设施的特征进行分析,可以制定优先方案来选择行人过路处,以改善设计。这些数据成分被用于验证当前在城市/郊区环境下开发的行人安全等级模型,行人交叉路口安全指数和中段服务水平的有效性以及它们在农村大学校园环境中的适用性。使用来自克莱姆森69个过境地点的数据,为校园应用程序开发冲突预测模型提供了动力。冲突预测模型中包含的指示变量包括交叉点的类型(停止控制标记,信号控制标记,中间块标记,非控制标记和未标记),交叉宽度,标记类型(砖,梯子,斑马,平行线),第85个百分位数车速,行人通行量,冲突的车辆通行量和路旁停车位。这种方法的好处是双重的:该模型可以用作确定校园中需要改善的区域时的优先排序工具,并且该模型还可以通过量化潜在的行人与车辆之间的冲突减少量来衡量实施对策的潜在利益。

著录项

  • 作者

    Dobbs, Gabriel Lyle.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Psychology Social.;Transportation.;Engineering Civil.
  • 学位 M.S.
  • 年度 2009
  • 页码 287 p.
  • 总页数 287
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 社会心理、社会行为;建筑科学;综合运输;
  • 关键词

  • 入库时间 2022-08-17 11:38:11

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