High road utilizers surveys compared to police data for road traffic crash hotspot localization in Rwanda and Sri Lanka

BMC Public Health
Catherine A StatonTruls Østbye

Abstract

Road traffic crashes (RTCs) are a leading cause of death. In low and middle income countries (LMIC) data to conduct hotspot analyses and safety audits are usually incomplete, poor quality, and not computerized. Police data are often limited, but there are no alternative gold standards. This project evaluates high road utilizer surveys as an alternative to police data to identify RTC hotspots. Retrospective police RTC data was compared to prospective data from high road utilizer surveys regarding dangerous road locations. Spatial analysis using geographic information systems was used to map dangerous locations and identify RTC hotspots. We assessed agreement (Cohen's Kappa), sensitivity/specificity, and cost differences. In Rwanda police data identified 1866 RTC locations from 2589 records while surveys identified 1264 locations from 602 surveys. In Sri Lanka, police data identified 721 RTC locations from 752 records while survey data found 3000 locations from 300 surveys. There was high agreement (97 %, 83 %) and kappa (0.60, 0.60) for Rwanda and Sri Lanka respectively. Sensitivity and specificity are 92 % and 95 % for Rwanda and 74 % and 93 % for Sri Lanka. The cost per crash location identified was $2.88 for police and $2.75 ...Continue Reading

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Citations

Mar 7, 2020·International Journal of Injury Control and Safety Promotion·Joao Ricardo Nickenig VissociCatherine A Staton
Feb 9, 2018·International Journal of Injury Control and Safety Promotion·Meredith WaldonCatherine A Staton

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Software Mentioned

REDCap
Quantum GIS ( QGIS )
REDCap ( Research Electronic Data Capture )
Valmiera [ QGIS ]

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