The prospect of automated mobility on-demand (AMoD) services in urban areas has highlighted critical challenges surrounding the sustainable development of urban mobility. To address this gap, we created an improved simulation tool by combining SimMobility’s demand simulator with the hybrid meso-micro supply model of Aimsun Next. A realistic and city-scale examination of AMoD using such an advanced simulation tool can address the limitations identified in the literature and significantly promote the understanding of AMoD services. In this paper, we demonstrate the use of our improved simulation tool and focus on demand exploration of AMoD services in the Tel-Aviv metropolitan area. We employ an activity- and agent-based framework, for both single and shared AMoD rides, and explore 6 service cost scenarios and its impact on demand elasticities, mode choice, travel patterns and AMoD use by population groups. Our results indicate that there is no existing latent demand in Tel-Aviv metropolitan area and the extent of mode shifts from active modes and public transportation to AMoD is neglectable. This is due to AMoD services average travel costs, which is high as compared to all other modes, even with the largest fare reduction examined. Furthermore, it was found that AMoD demand, as a single service, is more elastic than when AMoD is shared, as cost elasticities drops as fare reduction increases. Unlike other modes of transportation, the maximum number of AMoD trips is obtained for trips between 10 to 20 kilometers, while young riders and full-time students are responsible for most of AMoD trips.

中文翻译：

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使用创新仿真工具对自动化移动按需服务进行需求探索


城市地区自动按需出行（AMoD）服务的前景凸显了围绕城市出行可持续发展的关键挑战。为了解决这一差距，我们通过将 SimMobility 的需求模拟器与 Aimsun Next 的混合中微观供应模型相结合，创建了一种改进的模拟工具。使用这种先进的模拟工具对 AMoD 进行现实的城市规模检查可以解决文献中发现的局限性，并显着促进对 AMoD 服务的理解。在本文中，我们演示了改进的模拟工具的使用，并重点关注特拉维夫大都市区 AMoD 服务的需求探索。我们针对单一和共享 AMoD 乘车采用基于活动和代理的框架，并探索 6 种服务成本场景及其对需求弹性、模式选择、出行模式和人群 AMoD 使用的影响。我们的研究结果表明，特拉维夫大都市区不存在潜在需求，并且从主动模式和公共交通到 AMoD 的模式转变程度可以忽略不计。这是因为 AMoD 服务的平均旅行成本比所有其他模式都高，即使在检查了最大的票价折扣后也是如此。此外，我们发现，AMoD 需求作为单一服务，比 AMoD 共享时更具弹性，因为成本弹性随着票价降低的增加而下降。与其他交通方式不同，AMoD 出行次数最多的是 10 至 20 公里之间的出行，而年轻骑手和全日制学生承担了大部分 AMoD 出行。