Bicycle Level of Service Model for the Cycloruta, Bogota, Colombia

IF 0.1 Q4 ENGINEERING, CIVIL Romanian Journal of Transport Infrastructure Pub Date : 2019-07-01 DOI:10.2478/rjti-2019-0001
I. Okon, C. Moreno
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引用次数: 8

Abstract

Abstract Segment videos were produced at different peaks to reflect different sampling criteria like land use characteristics, trails, Ciclocarrils and Ciclovia. Each segment was filmed for 20–40 seconds during bicycle rides at a speed of about 5km/h with a camera strapped, at an angle of 45 degrees, on the head. Curb lane variables such as bicycle pathway widths, curb lane motorised volume (veh/h) and vehicle speed (km/h), bicycle volume on segment, and median width were recorded in addition to secondary data. About 1,360 ratings were acquired from study participants and used in the estimation process. Ordered probability models were used to estimate random parameters of cyclists LOS perception to account for unobserved heterogeneity for all respondents. The deviance (1.085) and Pearson Chi-Square (2.309) with 1,635 degree of freedom at 0.05 level of significance shows that our model provides a better fit of the data. The study observed that BLOS was strongly influenced by side path separation, vehicle speed, motorised traffic volume and conflicts with pedestrians. However, many other factors were found to have high probabilities to influence level of service with unit change. They include bicycle lane width, wide outside lane, pavement conditions, trees and benches, daylight, gender and experience of cyclist. The impact of the variety of observed factors affecting bicyclists reveal the nature and character of urban transportation in Bogota which suggests a range of important trade-offs in further planning and management of the Cicloruta bicycle paths.
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哥伦比亚波哥大Cycloruta自行车服务水平模型
摘要在不同的峰值制作片段视频,以反映不同的采样标准,如土地利用特征、小径、Ciclocarils和Ciclovia。在以约5公里/小时的速度骑自行车的过程中,每个片段都被拍摄了20到40秒,相机以45度的角度绑在头上。除次要数据外,还记录了路缘车道变量,如自行车道宽度、路缘车道机动交通量(veh/h)和车速(km/h)、路段自行车交通量和中间带宽度。从研究参与者那里获得了大约1360个评级,并在评估过程中使用。使用有序概率模型来估计骑车人视线感知的随机参数,以解释所有受访者未观察到的异质性。偏差(1.085)和Pearson Chi Square(2.309),1635自由度为0.05显著性水平,表明我们的模型提供了更好的数据拟合。该研究观察到,超视距受到侧道分隔、车速、机动交通量和与行人冲突的强烈影响。然而,许多其他因素被发现有很高的概率随着单位的变化而影响服务水平。它们包括自行车道宽度、外侧车道宽度、路面状况、树木和长椅、日光、性别和骑自行车的经历。影响骑自行车者的各种观察因素的影响揭示了波哥大城市交通的性质和特征,这表明在Ciclouta自行车道的进一步规划和管理中需要进行一系列重要的权衡。
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0.00%
发文量
6
审稿时长
10 weeks
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