Truck parking is a crucial element of the United States’ transportation system as it provides truckers with safe places to rest and stage for deliveries. Demand for truck parking spaces exceeds supply and shortages are especially common in and around urban areas. Freight operations are negatively affected as truck drivers are unable to park in logistically ideal locations. Drivers may resort to unsafe practices such as parking on ramps or in abandoned lots. This report seeks to examine the potential parking availability of vacant urban parcels by establishing a methodology to identify parcels and examining whether the identified parcels are suitable for truck parking. Previous research has demonstrated that affordable, accessible parcels are available to accommodate truck parking. When used in conjunction with other policies, adaptation of urban sites could help reduce the severity of truck parking shortages. Geographic information system parcel and roadway data were obtained for one urban area in each of the 10 Mid America Association of Transportation Officials region states. Area and proximity filters were applied followed by spectral analysis of satellite imagery to identify candidate parcels for truck parking facilities within urban areas. The automated processes created a ranked short list of potential parcels from which those best suited for truck parking could be efficiently identified for inspection by satellite imagery. This process resulted in a manageable number of parcels to be evaluated further by local knowledge metrics such as availability and cost, existing infrastructure and municipal connections, and safety.

卡车停车位是美国运输系统的关键要素，因为它为卡车司机提供了安全的休息和登台地点。卡车停车位的需求超过供应，并且短缺在城市地区及其周围尤为普遍。货运操作受到不利影响，因为卡车司机无法将车辆停在后勤理想的位置。驾驶员可能会采取不安全的做法，例如在坡道或废弃地段停车。本报告旨在通过建立识别包裹的方法并检查确定的包裹是否适合卡车停车来检查空置城市包裹的潜在停车位。先前的研究表明，价格合理，交通便利的包裹可用于停放卡车。与其他政策一起使用时，城市场地的改造可以帮助减少卡车停车短缺的严重性。在美国中部10个运输官员协会地区州中的每个州，都获得了一个市区的地理信息系统地块和道路数据。应用区域过滤器和邻近过滤器，然后对卫星图像进行频谱分析，以识别市区内卡车停车设施的候选地块。自动化流程创建了潜在包裹的排序简短列表，可以从中有效筛选出最适合卡车停车的包裹，以通过卫星图像进行检查。此过程导致了可管理数量的包裹，这些包裹将通过本地知识指标（如可用性和成本，现有基础设施和市政连接以及安全性）进行进一步评估。