Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we developed a geospatially disaggregated system dynamics (SD) model, through the use of subscripts, of the Copenhagen metropolitan region. We used this SD model to explore the consequences of 12 main uncertainties related to the introduction of AVs on urban development and develop future scenarios following the exploratory modelling and analysis methodology. Our analysis led to two distinct scenarios. In one scenario, AVs lead to more vehicle use, which leads to more urban sprawl and more congestion as a consequence. In the other scenario, more shared use of cars leads to less traffic and more open space in the city.

城市形态在不同的交通方式下得到密切的反馈。引入和采用自动驾驶汽车（AV）预计也会对城市的发展产生影响，例如，使用自动驾驶汽车可能会导致更高效的道路使用和更少的停车位需求。为了研究这些影响，我们通过使用下标，开发了哥本哈根都会区的地理空间分解系统动力学（SD）模型。我们使用此SD模型来探索与引入有价证券对城市发展有关的12个主要不确定性的后果，并按照探索性建模和分析方法制定未来方案。我们的分析导致了两种不同的情况。在一种情况下，自动驾驶导致更多的车辆使用，结果导致更多的城市蔓延和拥堵。在另一种情况下，更多地共享汽车使用会减少城市中的交通和更多开放空间。