With the help of technologies such as GPS tracks, GIS and open data is now possible to study people travel behaviour in a new way. Nowadays, large datasets can be easily handled thanks to database and better visualized using GIS. Moreover, the availability of GPS data, open data and VGI makes accessible a lot of new information, which was not obtainable before.
This presentation assesses the analysis of mobility patterns in ten different neighbourhoods in the Netherlands. The study is based on the validation of mobility theoretical performances of each neighbourhood by the actual performances measured by the analysis of GPS logs of households who live in the neighbourhoods.
A series of spatial indicators based on proximity, density and accessibility are computed in order to assess the theoretical performances of the neighbourhoods, measuring what services and facilities are presented nearby. To achieve this task, information about built environment characteristics and infrastructure networks is retrieved from OpenStreetMap, BAG, BBG and CBS datasets. Then, using statistical methods the results are validated by the analysis of the GPS tracks of the residents. In the end the neighbourhoods are classified into five classes, according to the different levels of performances in terms of sustainable mobility.