Modelling Regional Crime Risk using Directed Graph of Check-ins

Shakila Khan Rumi · Flora Dilys Salim

8 citations0/0 files storedACM International Conference on Information and Knowledge Management (CIKM)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human Mobility and Location-Based Analysis Crime Patterns and Interventions Urban Design and Spatial Analysis

Abstract

The location-based social network, Foursquare, reflects the human activities of a city. The mobility dynamics inferred from Foursquare helps us understanding urban social events like crime In this paper, we propose a directed graph from the aggregated movement between regions using Foursquare data. We derive region risk factor from the movement direction, quantity and crime history in different periods of the day. Later, we propose a new set of features, DIrected graph Flow FEatuRes (DIFFER) which are associated with region risk factor. The reliable correlations between DIFFER and crime count are observed. We verify the effectiveness of the DIFFER in monthly crime count using Linear, XGBoost, and Random Forest regression in two cities, Chicago and New York City.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 8 citations exist upstream.

References

2010Social Change and Crime Rate Trends: A Routine Activity Approach (1979)2004A Measurement Theory for Time Geography 2017Environment, Routine, and Situation: Toward a Pattern Theory of Crime 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness 2014Once Upon a Crime 2016Crime Rate Inference with Big Data 2015Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics 2018Mining large-scale human mobility data for long-term crime prediction

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.