Construction of a walkability quality dataset in GIS: the case study of Berlin

Abstract. This work aims to define and build a pedestrian network database by exploiting the information and potential of Google Street View. Compared to existing data such as Open Street Map, this dataset offers more detailed information on the quality of the street from a walker's point of view, also including urban context and safety characteristics in addition to those related to the geometry of a route. The research work is experimentation on the Berlin case study. The construction of the database allows, in turn, to obtain thematic maps of network classification as a result, providing a first element for local decision makers on where to implement possible improving solutions.