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A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation

  New article first published online: Applied Geography; DOI: 10.1016/j.apgeog.2018.08.001 ABSTRACT: Predictive hotspot mapping plays a critical role in hotspot policing. Existing methods such as the popular kernel density estimation (KDE) do not consider the temporal dimension of crime. Building upon recent works in related fields, this article proposes a spatio-temporal framework for predictive hotspot mapping and […]

Where are the dangerous intersections for pedestrians and cyclists: A colocation-based approach

  New article first published online: Transportation Research Part C: Emerging Technologies; DOI: 10.1016/j.trc.2018.07.030 ABSTRACT: Understanding the spatio-temporal road network accessibility during a hurricane evacuation—the level of ease of residents in an area in reaching evacuation destination sites through the road network—is a critical component of emergency management. While many studies have attempted to measure road accessibility […]

Automated delineation of hospital service areas and hospital referral regions by modularity optimization

  New article first published online: Health Services Research; DOI: 10.1111/1475-6773.12616 ABSTRACT: Objective To develop an automated, data‐driven, and scale‐flexible method to delineate hospital service areas (HSA s) and hospital referral regions (HRR s) that are up‐to‐date, representative of all patients, and have the optimal localization of hospital visits. Data Sources The 2011 state inpatient database in […]