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A bikeway network design model for urban areas

机译:市区单车道网络设计模型

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摘要

This work develops a bikeway network design model for cycling in urban areas. The objectives of the proposed model are to minimize cyclist risk, maximize cyclist comfort, maximize service coverage for residents, and minimize the impact of the bikeway on existing traffic. The proposed model considers the following constraints: bikeway type, monetary budgets, path continuities, and value ranges of decision variables. Grey numbers are employed to deal with parameter uncertainties, and the proposed model is developed as a multi-objective grey 0–1 programming problem. A case study of the Xinyi District, Taipei City, is conducted. The grey one-stage algorithm is applied to solve this problem. In total, six non-dominated alternatives are generated for the case study. In comparing model alternatives with the existing network, this work confirms that the existing biking network prioritizes cyclist comfort. Scenario analyses indicate that maintaining the lower bound of the length percentage of wooded areas at 20–40 % generates better performance than that of the other scenarios, while decreasing the number of traffic accidents only decreases cyclist risk and does not alter the other objectives. The proposed model is the first network design model for bikeways in literature and will assist bikeway planners in developing alternatives for further evaluation and in developing detailed designs efficiently and systematically.
机译:这项工作开发了用于城市地区骑行的单车道网络设计模型。拟议模型的目标是最大程度地降低骑车人的风险,最大程度地提高骑车人的舒适度,最大程度地为居民提供服务,并最大程度地减少自行车道对现有交通的影响。提出的模型考虑了以下约束:自行车道类型,货币预算,路径连续性和决策变量的值范围。使用灰度数来处理参数不确定性,并且将提出的模型开发为多目标灰度0-1规划问题。以台北市信义区为例。灰色的一级算法被用来解决这个问题。总共为案例研究生成了六个非主要选择。在将模型替代方案与现有网络进行比较时,这项工作证实了现有自行车网络优先考虑骑车人的舒适性。方案分析表明,将林区长度百分比的下限保持在20%至40%会产生比其他方案更好的性能,而减少交通事故的数量只会降低骑车人的风险,而不会改变其他目标。提议的模型是文献中自行车道的第一个网络设计模型,将帮助自行车道规划者开发替代方案以进行进一步评估,并有效,系统地开发详细设计。

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