We present a methodology to extract points of interest (POIs) data from OpenStreetMap (OSM) for application in travel demand models. We use custom taglists to identify and assign POI elements to typical activities used in travel demand models. We then compare the extracted OSM data with official sources and point out that the OSM data quality depends on the type of POI and that it generally matches the quality of official sources. It can therefore be used in travel demand models. However, we recommend that plausibility checks should be done to ensure a certain quality. Further, we present a methodology for calculating attractiveness measures for typical activities from single POIs and national trip generation guidelines. We show that the quality of these calculated measures is good enough for them to be used in travel demand models. Using our approach, therefore, allows the quick, automated, and flexible generation of attractiveness measures for travel demand models.

我们提供一种从OpenStreetMap（OSM）提取兴趣点（POI）数据以应用于旅行需求模型的方法。我们使用自定义标签列表来识别POI元素并将其分配给旅行需求模型中使用的典型活动。然后，我们将提取的OSM数据与官方来源进行比较，并指出OSM数据质量取决于POI的类型，并且通常与官方来源的质量相匹配。因此，它可以用于旅行需求模型中。但是，我们建议应进行合理性检查以确保一定的质量。此外，我们提供了一种方法，可根据单个POI和国家旅行产生指南来计算典型活动的吸引力度量。我们表明，这些计算出的量度的质量足以将其用于旅行需求模型中。