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TZID:Europe/Paris
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DTSTART:20251026T030000
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DTSTART:20260329T030000
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SUMMARY:OpenStreetMap Data for Spatial Regression Modeling of Urban Operat
 ing Speed - Rafael Szeliga
DTSTART;TZID=Europe/Paris:20260829T160000
DTEND;TZID=Europe/Paris:20260829T160500
DTSTAMP:20260917T073458Z
UID:pretalx-sotm2026-osm-science-CAPXCT@pretalx.com
DESCRIPTION:This study evaluates how well OpenStreetMap (OSM) data can exp
 lain urban operating speeds using spatial regression models in Curitiba\, 
 Brazil\, combining naturalistic driving data with socioeconomic and built-
 environment variables. The results show that OSM-derived variables\, espec
 ially road network density and traffic signals\, are useful for identifyin
 g spatial patterns in speed\, but their limited detail reduces predictive 
 accuracy\, making OSM more suitable for exploratory large-scale safety ana
 lyses than precise modeling.
LOCATION:Martinique
URL:https://pretalx.com/sotm2026-osm-science/talk/CAPXCT/
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