Executive Summary PART 1 INTRODUCTION Background – Challenges facing digital policing – Big Data in policing – Intelligent data-driven policing – Our approach PART 2 RESEARCH Crime prediction & evaluation – Space-time prediction of crime – Prediction on street networks

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[7]  Tao Cheng,et al.  Group Behaviour Analysis of London Foot Patrol Police , 2015 .

[8]  Tao Cheng,et al.  Designing Daily Patrol Routes for Policing Based on ANT Colony Algorithm , 2015 .

[9]  Alex Singleton,et al.  The internal structure of Greater London: a comparison of national and regional geodemographic models , 2015 .

[10]  Tao Cheng,et al.  Spatio-Temporal Patterns of Passengers’ Interests at London Tube Stations , 2015 .

[11]  T. Cheng,et al.  Clustering Analysis of London Police Foot Patrol Behaviour from Raw Trajectories , 2015 .

[12]  T. Cheng,et al.  Modifiable Temporal Unit Problem (MTUP) and Its Effect on Space-Time Cluster Detection , 2014, PloS one.

[13]  Tao Cheng,et al.  Event Detection using Twitter: A Spatio-Temporal Approach , 2014, PloS one.

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[15]  Shane D. Johnson,et al.  Near repeats and crime forecasting , 2013 .

[16]  Tao Cheng,et al.  Guidelines for trust interface design for public engagement Web GIS , 2013, Int. J. Geogr. Inf. Sci..

[17]  Tao Cheng,et al.  Detecting Emerging Space-Time Crime Patterns by Prospective STSS , 2013 .