Thinking about space-time connections: Spatiotemporal scheduling of individual activities

Kathleen Stewart, Junchuan Fan, Emily White

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

This article presents a spatiotemporal model for scheduling applications that is driven by the events and activities individuals plan and manage every day. The framework is presented using an ontological approach where ontologies at different levels of generalization, e.g. domain, application, and task ontologies, are linked together through participation and inheritance relationships. S_Events are entered into a schedule as a new S_Entry, or modifications can be made to existing entries including reschedule, postpone, change location, and delete as schedules vary over time. These schedule updates are formalized through changes to planned start and end times and the planned locations of S_Entries are expressed using SWRL, a semantic web rule language. SWRL is also used for reasoning about schedule changes and the space-time conflicts that can occur. The sequence of entries in a schedule gives rise to S_trajectories representing the locations that individuals plan to visit in order to carry out their schedule, adding an additional spatial element to the framework. A prototype Geoscheduler application maps S_Entries against a timeline, offering a spatiotemporal visualization of scheduled activities showing the evolution of a schedule over space-time and affecting spatiotemporal accessibility for individuals.

Original languageEnglish
Pages (from-to)791-807
Number of pages17
JournalTransactions in GIS
Volume17
Issue number6
DOIs
StatePublished - Dec 2013
Externally publishedYes

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