Mobility data - The new treasure-troves?; [Mobilitätsdaten - Die neuen Datenschätze?]
Keywords:
Mobility Data, Transport Planning, GIS, Urban Mobility, Spatial Analysis, Big Data, Data PrivacyAbstract
This article explores mobility data as a potential source of insight into movement patterns. Information about trips, traffic and transport use can help planners understand how people move through cities and regions. The value of these datasets depends on coverage, representativeness, temporal detail and responsible handling of personal information. GIS can relate mobility records to transport networks, land use and destinations, supporting analysis of accessibility and demand. The topic highlights opportunities for data-informed transport planning while recognising that collection methods and privacy safeguards shape what conclusions can be drawn.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.
