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Identifying 'Sensible Locations' for Separated Bike Lanes on a Congested Urban Road Network: A Toronto Case Study

机译:在拥挤的城市道路网络上识别分离自行车道的“明智地点”:多伦多案例研究

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Across North America, separated bike lanes have generated political challenges from drivers concerned that such facilities might increase their travel times. Toronto is one such city where vocal complaints have limited the development of a separated bike lane network. To address these issues, a new approach to evaluating the travel-time impact of installing a separated bike lane is proposed. Aided by a transportation geographic information system (GIS) and a GIS toolkit, we apply a method called the network robustness index (NRI) to scan the Toronto road network for changes in vehicular travel times. Additionally, we use the approach to evaluate the potential travel-time impact of adding a separated bike lane to a target corridor, one where plans have encountered political opposition in the past. These two applications demonstrate the value of integrating the NRI approach into cycling planninga method that can be used to both identify potential separated bike lane locations and to measure the specific travel-time impacts of separated bike lanes.
机译:遍布北美,分居的自行车车道从涉及这些设施可能增加旅行时间的司机产生了政治挑战。多伦多是一个这样的城市,声乐投诉限制了分离的自行车道网络的发展。为了解决这些问题,提出了一种评估安装分离自行车道的行驶时间影响的新方法。通过运输地理信息系统(GIS)和GIS工具包辅助,我们应用一种称为网络鲁棒性索引(NRI)的方法,以扫描多伦多道路网络以进行车辆旅行时间的变化。此外,我们使用这种方法来评估将分离的自行车道添加到目标走廊的潜在旅行时间的影响,计划在过去遇到政治反对的情况下。这两个应用程序展示将NRI方法集成到循环策划方法中,该方法可用于识别潜在的分离的自行车道位置,并测量分离的自行车道的特定行进时间撞击。

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