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Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp
European Transport Research Review ( IF 5.1 ) Pub Date : 2021-06-17 , DOI: 10.1186/s12544-021-00493-3
Gabriel Wilkes , Lars Briem , Michael Heilig , Tim Hilgert , Martin Kagerbauer , Peter Vortisch

Ridesourcing services have become popular recently and play a crucial role in Mobility as a Service (MaaS) offers. With their increasing importance, the need arises to integrate them into travel demand models to investigate transport system-related effects. As strong interdependencies between different people’s choices exist, microscopic and agent-based model approaches are especially suitable for their simulation. This paper presents the integration of shared and non-shared ridesourcing services (i.e., ride-hailing and ride-pooling) into the agent-based travel demand model mobiTopp. We include a simple vehicle allocation and fleet control component and extend the mode choice by the ridesourcing service. Thus, ridesourcing is integrated into the decision-making processes on an agent’s level, based on the system’s specific current performance, considering current waiting times and detours, among other data. In this paper, we analyze the results concerning provider-related figures such as the number of bookings, trip times, and occupation rates, as well as effects on other travel modes. We performed simulation runs in an exemplary scenario with several variations with up to 1600 vehicles for the city of Stuttgart, Germany. This extension for mobiTopp provides insights into interdependencies between ridesourcing services and other travel modes and may help design and regulate ridesourcing services.

中文翻译:

通过在出行需求模型 mobiTopp 中进行仿真,确定与乘车服务相关的服务提供商和交通系统影响

乘车服务最近变得流行,并在移动即服务 (MaaS) 产品中发挥着至关重要的作用。随着它们越来越重要,需要将它们整合到旅行需求模型中,以研究与交通系统相关的影响。由于不同人的选择之间存在很强的相互依赖性,微观和基于代理的模型方法特别适合他们的模拟。本文介绍了将共享和非共享拼车服务(即叫车和拼车)集成到基于代理的旅行需求模型 mobiTopp 中的方法。我们包括一个简单的车辆分配和车队控制组件,并通过拼车服务扩展模式选择。因此,基于系统的特定当前性能,将拼车服务集成到代理级别的决策过程中,考虑当前的等待时间和弯路,以及其他数据。在本文中,我们分析了有关供应商相关数据的结果,例如预订数量、旅行时间和占用率,以及对其他出行方式的影响。我们在德国斯图加特市使用多达 1600 辆车的示例场景中进行了模拟运行,该场景具有多种变化。mobiTopp 的这一扩展提供了对乘车服务与其他出行方式之间相互依存关系的见解,并可能有助于设计和规范乘车服务。我们在德国斯图加特市使用多达 1600 辆车的示例场景中进行了模拟运行,该场景具有多种变化。mobiTopp 的这一扩展提供了对乘车服务与其他出行方式之间相互依存关系的见解,并可能有助于设计和规范乘车服务。我们在德国斯图加特市使用多达 1600 辆车的示例场景中进行了模拟运行,该场景具有多种变化。mobiTopp 的这一扩展提供了对乘车服务与其他出行方式之间相互依存关系的见解,并可能有助于设计和规范乘车服务。
更新日期:2021-06-17
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