Evaluating urban neighbourhoods in terms of mobility performances, using open data and GPS tracks to assess actual people travel behaviour

Evaluating urban neighbourhoods in terms of mobility performances, using open data and GPS tracks to assess actual people travel behaviour

van der Spek, S.C. (TU Delft OLD Urban Design)
Oliveti, M. (TU Delft Urbanism)

Urbanism

2017-12-20

Managing urban areas has become one of the most important development challenges of the 21st century. Building sustainable cities is a major factor nowadays. In this context, the advent of technologies such as GPS (Global Positioning System) and GIS (Geographical Information Systems) enables to better address the relationship between urban form and people travel behaviour. Spatial and temporal data can be collected at once, giving an insight into the actual movement pattern of people. In this paper we make a contribution to the existing literature in mobility and urban studies by comparing a series of GIS-based neighbourhood indicators with the actual people travel behaviour detected by GPS survey. Information about built environment characteristics is retrieved by OpenStreetMap and other datasets. 10 different neighbourhoods in The Netherlands are compared and in the end the main features that characterize efficient neighbourhoods in terms of sustainable mobility patterns are identified.

GPS tracking
Open Data
OpenStreetMap
People Travel Behaviour
Mobility Patterns
Neighbourhoods

http://resolver.tudelft.nl/uuid:bcbea3e5-3473-4d76-8faf-98f7196cb5f9

https://doi.org/10.4108/eai.20-12-2017.153495

2518-3893

EAI Endorsed Transactins on Smart Cities, 2 (6)

based on thesis document "Analysis of mobility patterns in different neighbourhoods, integrating GPS tracks with OpenStreetMap data", Oliveti, M (2015)

Institutional Repository

journal article

© 2017 S.C. van der Spek, M. Oliveti