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Strategic Planning for Integrated Mobility-on-Demand and Urban Public Bus Networks

机译:综合流动性按需和城市公共巴士网络的战略规划

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App-based services and ridesharing in the field of mobility-on-demand (MoD) create a new mode of transport between motorized individual transport and public transportation whose long-term role in the urban mobility landscape and within public transport systems is not fully understood as of today. For the public transport industry, these new services offer new chances but also risks, making planning models and tools for integrated intermodal network planning indispensable. We develop a strategic network planning optimization model for bus lines that allows for intermodal trips with MoD as a first or last leg. Starting from an existing public transport network, we decide simultaneously on the use of existing line segments in the future fixed-route network, on areas of the city where an integrated MoD service should be offered, on how MoD interacts with the fixed-route network via transfer points, and on passenger routes fulfilling given service-level requirements. The main challenges from a modeling point of view are to capture the interplay between MoD services and the fixed public network, as well as the approximation of MoD costs taking into account that vehicle utilization is a key factor influencing these costs. We develop a path-based formulation and a branch-and-price algorithm, as well as an enhanced enumeration-based approach, to solve real-world instances to proven optimality. The solution methods are tested on instances generated with the help of realworld data from a medium-sized German city, Gottingen, that currently operates around 20 bus lines.
机译:基于应用的服务和riveSharing在移动性的服务领域(MOD)在机动个人运输和公共交通工具之间创建了新的运输方式,其在城市移动景观和公共交通系统中的长期作用不完全理解截至今日。对于公共交通行业而言,这些新服务提供了新的机会,也为风险提供了风险,使策划模型和工具进行集成的多式电网规划不可或缺。我们开发了一个用于总线线路的战略网络规划优化模型,允许用Mod作为第一或最后腿的多式联运跳闸。从现有的公共交通网络开始,我们同时决定在未来的固定路线网络中使用现有的线段,在应提供集成MOD服务的城市区域,在MOD与固定路线网络上的交互通过传输点,以及乘客路线履行给定的服务级别要求。来自建模的观点来看的主要挑战是捕获MOD服务与固定公共网络之间的相互作用,以及考虑到车辆利用的MOD成本的近似值是影响这些成本的关键因素。我们开发了一种基于路径的制定和分支和价格算法,以及增强的基于枚举的方法,以解决现实世界的实例以证明最佳状态。解决方案方法在借助来自中型德国城市的Realworld数据的实例上测试了目前在20辆总线上运行的实例。

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