Towards a national low traffic neighbourhood dataset

Low traffic neighbourhoods (LTNs) form a major part of active travel infrastructure planning within the UK. However, despite considerable academic and public discourse, there remains a lack of empirical studies on these neighbourhood zones. This study looks to create the foundations for a national dataset of plausible low traffic neighbourhoods. Neighbourhoods are defined by identifying the bounding features of each zone. LTNs are indicated through the presence of modal filters and high internal neighbourhood accessibility. Modal filters within neighbourhoods are extracted through analysis of OpenStreetMap data. Internal accessibility is assessed through comparison of shortest-path lengths of pedestrians and motor vehicles.