ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 143-146, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-4-W2/143/2015/
doi:10.5194/isprsannals-II-4-W2-143-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
10 Jul 2015
CLUSTERING ANALYSIS OF OFFICER'S BEHAVIOURS IN LONDON POLICE FOOT PATROL ACTIVITIES
J. Shen and T. Cheng SpaceTimeLab for Big Data Analytics, Department of Civil, Environmental and Geomatic Engineering, University College London, Gower Street, London WC1E 6 BT, UK
Keywords: Clustering, Behaviour Pattern, Similarity, GPS Trajectory, Region of Interest Abstract. In this small paper we aim at presenting a framework of conceptual representation and clustering analysis of police officers’ patrol pattern obtained from mining their raw movement trajectory data. This have been achieved by a model developed to accounts for the spatio-temporal dynamics human movements by incorporating both the behaviour features of the travellers and the semantic meaning of the environment they are moving in. Hence, the similarity metric of traveller behaviours is jointly defined according to the stay time allocation in each Spatio-temporal region of interests (ST-ROI) to support clustering analysis of patrol behaviours. The proposed framework enables the analysis of behaviour and preferences on higher level based on raw moment trajectories. The model is firstly applied to police patrol data provided by the Metropolitan Police and will be tested by other type of dataset afterwards.
Conference paper (PDF, 833 KB)


Citation: Shen, J. and Cheng, T.: CLUSTERING ANALYSIS OF OFFICER'S BEHAVIOURS IN LONDON POLICE FOOT PATROL ACTIVITIES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 143-146, doi:10.5194/isprsannals-II-4-W2-143-2015, 2015.

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