Disruptive developments in automated driving systems, new powertrain concepts and digital mobility are shaping changes in the way people move in rural and urban areas. In combination with these technical potentials, novel mobility concepts as for instance demand responsive transportation (DRT) can improve the everyday mobility of people in terms of both cost-efficiency and sustainability. Moreover, challenges related to demographic transitions and urbanisation can be addressed and negative developments mitigated. One potential application of DRT might be the connection of rural areas with the urban core.

The following paper aims to evaluate the viability and feasibility of DRT systems in the interplay of rural and urban areas. The city of Bremerhaven and the immediate surrounding are selected as area of investigation and the agent-based modelling framework MATSim is used to simulate the inhabitant mobility behaviour. On this basis, the global operational costs are calculated for different scenarios, e.g. fully automated vehicles and various powertrain types. The results imply that automated DRT systems are applicable to reduce the economic and environmental costs of transportation when applied in the interplay of rural and urban areas.

自动驾驶系统、新动力系统概念和数字移动的颠覆性发展正在改变人们在农村和城市地区的出行方式。结合这些技术潜力，新的出行概念，例如需求响应交通 (DRT)，可以在成本效益和可持续性方面改善人们的日常出行。此外，可以解决与人口转变和城市化相关的挑战并减轻负面发展。DRT 的一种潜在应用可能是将农村地区与城市核心区连接起来。

以下论文旨在评估 DRT 系统在城乡相互作用中的可行性和可行性。选择不来梅哈芬市及其周边地区作为调查区域，并使用基于代理的建模框架 MATSim 来模拟居民的移动行为。在此基础上，针对不同场景（例如全自动车辆和各种动力总成类型）计算全球运营成本。结果表明，自动化 DRT 系统适用于在农村和城市地区的相互作用中降低交通的经济和环境成本。