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SUMMARY:OSM Can-BICS: Mapping bicycle infrastructure across Canada
DESCRIPTION:\n\n\nHigh quality and consistent bicycling infrastructure data 
 are needed to advance research into equity and safety and for planning and 
 promoting active transportation. Yet there is no consistent and complete 
 national dataset for bicycling infrastructure in Canada. We are developing 
 a national bicycling infrastructure dataset. First\, we classified 
 OpenStreetMap (OSM) using the Canadian Bikeway Comfort and Safety 
 Classification System (Can-BICS) as a consistent categorization for 
 infrastructure type. Next\, we performed a site-specific accuracy 
 assessment by comparing the classification with more than 2\,000 reference 
 points from a stratified random sample in 15 cities. We met with city 
 planners to validate the classified network dataset and solicited feedback 
 and improvements in a mapathon. Finally\, we used the classified network 
 dataset to develop a standardized measure of cycling infrastructure for all 
 dissemination areas in Canada. In this talk\, we will present the OSM 
 Can-BICS classified dataset and metric of the cycling environment\, 
 including detail on the development\, validation\, and descriptive 
 results.\n\nColin Ferster is a research assistant in the Cities\, Health\, 
 & Active Transportation Research Lab (CHATR) and at bikemaps.org. Colin 
 uses traditional and emerging sources of geographic data to study people 
 and their environments. He completed a PhD and MSc at the University of 
 British Columbia and a BSc at the University of Victoria — all focused on 
 integrating diverse types of spatial data.\n\nThis event is part of Love 
 Data Week 2022\, co-sponsored by SFU\, UBC\, UNBC\, and UVic. Registration 
 is open to everyone.\n\n\nIf you have questions\, concerns\, or 
 accessibility needs please email research.commons@ubc.ca.\n\n \n\n \n\nThis 
 event is online. Registrants receive the link 1 hour before the event. 
 Registration closes 2 hours before the event.
ORGANIZER;CN="Research Commons":MAILTO:research.commons@ubc.ca
CATEGORIES:Data, Research Commons
CONTACT;CN="Research Commons":MAILTO:research.commons@ubc.ca
STATUS:CONFIRMED
UID:LibCal-3655221
URL:https://libcal.library.ubc.ca/event/3655221
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