Using Big Spatial Data for Planning User Mobility

Saiedur Rahaman, M, Hamilton, M and Salim, F 2018, 'Using Big Spatial Data for Planning User Mobility' in Sherif Sakr and Albert Zomaya (ed.) Encyclopedia of Big Data Technologies, Springer International Publishing, Cham, Switzerland, pp. 1-6.


Document type: Book Chapter
Collection: Book Chapters

Title Using Big Spatial Data for Planning User Mobility
Author(s) Saiedur Rahaman, M
Hamilton, M
Salim, F
Year 2018
Title of book Encyclopedia of Big Data Technologies
Publisher Springer International Publishing
Place of publication Cham, Switzerland
Editor(s) Sherif Sakr and Albert Zomaya
Start page 1
End page 6
Subjects Interorganisational Information Systems and Web Services
Computer-Human Interaction
Neural, Evolutionary and Fuzzy Computation
Summary User mobility is the movement of individuals from one place to another. Trip is a segment of user mobility. A context is any information that can be used to characterise the situation of an entity (ie any user), according to (Dey and Abowd 2000). Trip contexts provide trip-related information to any person planning to make a trip. Further, route planner is a system designed to help user mobility which consists of a number of trips. Usually, the route planners present some predefined contexts to a user and provide a route plan between two locations on the basis of user-selected contexts. The big spatial data can facilitate diverse sets of trip contexts with their respective geographic location information on the earths surface which can aid the effective planning of user mobility.
Copyright notice © Springer International Publishing AG 2018
Keyword(s) Context-aware user mobility
trip context inference
user mobility planning
DOI - identifier 10.1007/978-3-319-63962-8_224-1
ISBN 9783319639628
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