We study the impact of a tightening of a private driving restriction in Germany’s capital, the city of Berlin, on house prices in its affluent suburbs. Using geo-referenced data on train stations, motorway access points and offers of single-family houses for sale from Germany’s leading online property broker ImmobilienScout24 in a spatially staggered DiD framework, we find evidence for sizeable price growth premia for houses located in walking distance of train stations that lie within 30 min commuting duration to Berlin main station. Property located in immediate vicinity (5 min walking distance) of train stations within 30–40 min commuting duration, however, face penalties. Our findings are of relevance for the design of public infrastructure planning policies that seek to accommodate and facilitate changes in local demands for alternative and more environmentally sustainable modes of transport induced by private driving restrictions.

我们研究了德国首都柏林收紧私人驾驶限制对其富裕郊区房价的影响。使用来自德国领先的在线房地产经纪人ImmobilienScout24的火车站、高速公路接入点和待售单户住宅的地理参考数据在空间交错的 DiD 框架中，我们发现距离火车站步行距离且距离柏林主站 30 分钟通勤时间的房屋的价格增长溢价相当大的证据。然而，在 30-40 分钟通勤时间内位于火车站附近（步行 5 分钟）的物业将面临处罚。我们的研究结果与公共基础设施规划政策的设计相关，这些政策旨在适应和促进当地对私人驾驶限制引起的替代性和更环保的交通方式的需求变化。