Several cities worldwide have been attempting to adopt “car-lite” policies to reduce traffic congestion and urban pollution. In addition to measures such as re-designing neighbourhoods and encouraging active modes, much expectation has been placed on the adoption of new and innovative modes, particularly shared AVs, or Automated Mobility-on-Demand (AMOD). Although the realisation of AMOD appears to be imminent, little is known about its potential effects on current transport systems. In this paper, using SimMobility, an agent-based microsimulation platform, we explored the impact of AMOD on public transport (PT). Two AV adoption scenarios were simulated: (1) “Partial Automation” where AMOD is introduced alongside existing modes, and (2) “Full Automation” where the use of private human-driven vehicles is prohibited upon the implementation of AMOD. We found that, compared to the base case (where there is no AMOD), the share of PT usage increased significantly in the AMODscenarios. While the overall congestion level was reduced in the Full Automation scenario, road in the Partial Automation scenario tended to suffer from high travel demand. The increased demand for PT also prompts for a revision of current service schedules. The temporal and spatial analyses of PT demand between scenarios have brought some useful implications on the implementation of AMOD for urban and transport planners.

全球多个城市一直在尝试采用“少开车”政策来减少交通拥堵和城市污染。除了重新设计社区和鼓励活跃模式等措施外，人们还对采用新的创新模式寄予厚望，特别是共享 AV 或自动按需移动 (AMOD)。尽管 AMOD 的实现似乎迫在眉睫，但人们对其对当前运输系统的潜在影响知之甚少。在本文中，我们使用基于代理的微观仿真平台 SimMobility 探讨了 AMOD 对公共交通 (PT) 的影响。模拟了两种 AV 采用场景：(1) “部分自动化”，其中 AMOD 与现有模式一起引入，以及 (2) “完全自动化”，其中在实施 AMOD 时禁止使用私人人力驾驶车辆。我们发现，与基本情况（没有 AMOD）相比，在 AMOD 场景中 PT 使用的份额显着增加。虽然在完全自动化方案中总体拥堵水平有所降低，但在部分自动化方案中道路往往会受到高出行需求的影响。对 PT 的需求增加也促使修改当前的服务时间表。情景之间 PT 需求的时间和空间分析为城市和交通规划人员实施 AMOD 带来了一些有用的启示。对 PT 的需求增加也促使修改当前的服务时间表。情景之间 PT 需求的时间和空间分析为城市和交通规划人员实施 AMOD 带来了一些有用的启示。对 PT 的需求增加也促使修改当前的服务时间表。情景之间 PT 需求的时间和空间分析为城市和交通规划人员实施 AMOD 带来了一些有用的启示。