Publications: crime

Transafe: a crowdsourced mobile platform for crime and safety perceptionmanagement

This paper describes a proposed mobile platform, Transafe, that captures and analyses public perceptions of safety to deliver ‘crowdsourced’ collective intelligence about places in the City of M

Crime event prediction with dynamic features

Nowadays, Location-Based Social Networks (LBSN) collect a vast range of information which can help us to understand the regional dynamics (i.e. human mobility) across an entire city. LBSN provides

Multi-officer Routing for Patrolling High Risk Areas Jointly Learnedfrom Check-ins, Crime and Incident Response Data

A well-crafted police patrol route design is vital in providing community safety and security in the society. Previous works have largely focused on predicting crime events with historical crime da

Crime Rate Prediction with Region Risk and Movement Patterns

Location Based Social Network, Foursquare helps us to understand the human movement of a city. It provides data that characterises the volume of movements across regions and Places of Interests (

Transafe: a crowdsourced mobile platform for crime and safety perception management

This paper describes a proposed mobile platform, Transafe, that captures and analyses public perceptions of safety to deliver ‘crowdsourced’ collective intelligence about places in the City of M

© 2021 Flora Salim - CRUISE Research Group.