Time‐geographic Derivation of Feasible Co‐presence Opportunities from Network‐constrained Episodic Movement Data. Issue 5 (12th September 2013)

• Record Type: Journal Article
• Authors: Versichele, Mathias; Neutens, Tijs; Claeys Bouuaert, Manuel; Van de Weghe, Nico
• Is Part Of: Transactions in GIS. Volume 18:Issue 5(2014:Oct.)
• Page Start: 687
• Page End: 703
• Publication Date: 2013-09-12
• Subjects: Geographic information systems -- Periodicals; 910.285
• DOI: 10.1111/tgis.12050
• Languages: English
• ISSNs: 1361-1682

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>Certain datasets on moving objects are episodic in nature – that is, the data is characterized by time gaps during which the position of the object is unknown. In this article, a model is developed to study the sparsely sampled network‐constrained movement of several objects by calculating both potential and feasible (i.e. more likely) co‐presence opportunities over time. The approach is applied to the context of a static sensor network, where the location of an object is only registered when passing a sensor location along a road network. Feasibility is incorporated based on the deviation from the shortest path. As an illustration, the model is applied to a large Bluetooth tracking dataset gathered at a mass event. The model output consists of maps showing the temporal evolution of the distribution of feasible co‐presence opportunities of tracked visitors over the network (i.e. the number of visitors that could have been present together). We demonstrate the model's usefulness in studying the movement and distribution of a crowd over a study area with relatively few sampling locations. Finally, we discuss the results with a special emphasis on the distinction between feasible and actual presence, the need for further validation and calibration, and the performance of the implementation.</p> </abstract>