自行车交通服务品质分级方法
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同济大学,同济大学,同济大学

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U491

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Method of Classification Criteria About Quality of Service for Bicycle Lanes
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    摘要:

    从自行车交通出行者的实际感受出发,建立自行车交通服务品质的指数统计模型,旨在构建面向差异化需求的自行车交通服务品质分级标准.通过逐步回归等数理统计方法,量化骑行者安全、舒适、清洁感受和总体感受,构建自行车交通服务品质指数统计模型.基于自行车出行者的性别、年龄以及使用频率等特征,将自行车出行者进行分类,继而构建4级自行车道交通服务品质分级标准.对上海市中心区干道进行自行车服务品质分级和评价,绘制中心区干道自行车交通设施服务品质分级图.结果表明:非机动车道宽度、机非隔离形式、助动车速度、路边遮阳比例等是显著影响要素.研究结果可帮助决策人员找到影响路段服务水平的显著要素,确定优先改善次序.

    Abstract:

    The objectives of this research were to propose Bicycle Quality of Service (BQOS) models from the users’ perspective and to develop a new BQOS criterion based on a new classification of persons. The BQOS models affecting bicyclists’ perception of safety, comfort, cleanliness, and overall quality were produced on the basis of the stepwise regression analysis. A new classification of cyclists based on cyclists’ gender, age, and cycling frequency was determined, including four classes of people. A new BQOS criterion corresponding directly to the classification of cyclists was made. Two classification figures of BQOS on main roads in the center of Shanghai were drawn as an application example. The results show that such factors as nonmotorized vehicle lane width, the separation form, the moped speed, and the proportion of roadside planting are statistically significant. It will help decisionmakers to find out the most important factors influencing cyclists’ satisfaction at road segments, and determine the sort order of the improvement works for the nonmotorized vehicle lane.

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方雪丽,陈小鸿,叶建红.自行车交通服务品质分级方法[J].同济大学学报(自然科学版),2016,44(10):1573~1578

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  • 收稿日期:2015-12-01
  • 最后修改日期:2016-07-12
  • 录用日期:2016-06-03
  • 在线发布日期: 2016-11-04
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