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BikeMaps.org: A Global Tool for Collision and Near Miss Mapping
There are many public health benefits to cycling, such as chronic disease reduction and improved air quality. Real and perceived concerns about safety are primary barriers to new ridership. Due to limited forums for official reporting of cycling incidents, lack of comprehensive data is limiting our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378118/ https://www.ncbi.nlm.nih.gov/pubmed/25870852 http://dx.doi.org/10.3389/fpubh.2015.00053 |
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author | Nelson, Trisalyn A. Denouden, Taylor Jestico, Benjamin Laberee, Karen Winters, Meghan |
author_facet | Nelson, Trisalyn A. Denouden, Taylor Jestico, Benjamin Laberee, Karen Winters, Meghan |
author_sort | Nelson, Trisalyn A. |
collection | PubMed |
description | There are many public health benefits to cycling, such as chronic disease reduction and improved air quality. Real and perceived concerns about safety are primary barriers to new ridership. Due to limited forums for official reporting of cycling incidents, lack of comprehensive data is limiting our ability to study cycling safety and conduct surveillance. Our goal is to introduce BikeMaps.org, a new website developed by the authors for crowd-source mapping of cycling collisions and near misses. BikeMaps.org is a global mapping system that allows citizens to map locations of cycling incidents and report on the nature of the event. Attributes collected are designed for spatial modeling research on predictors of safety and risk, and to aid surveillance and planning. Released in October 2014, within 2 months the website had more than 14,000 visitors and mapping in 14 countries. Collisions represent 38% of reports (134/356) and near misses 62% (222/356). In our pilot city, Victoria, Canada, citizens mapped data equivalent to about 1 year of official cycling collision reports within 2 months via BikeMaps.org. Using report completeness as an indicator, early reports indicate that data are of high quality with 50% being fully attributed and another 10% having only one missing attribute. We are advancing this technology, with the development of a mobile App, improved data visualization, real-time altering of hazard reports, and automated open-source tools for data sharing. Researchers and citizens interested in utilizing the BikeMaps.org technology can get involved by encouraging citizen mapping in their region. |
format | Online Article Text |
id | pubmed-4378118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43781182015-04-13 BikeMaps.org: A Global Tool for Collision and Near Miss Mapping Nelson, Trisalyn A. Denouden, Taylor Jestico, Benjamin Laberee, Karen Winters, Meghan Front Public Health Public Health There are many public health benefits to cycling, such as chronic disease reduction and improved air quality. Real and perceived concerns about safety are primary barriers to new ridership. Due to limited forums for official reporting of cycling incidents, lack of comprehensive data is limiting our ability to study cycling safety and conduct surveillance. Our goal is to introduce BikeMaps.org, a new website developed by the authors for crowd-source mapping of cycling collisions and near misses. BikeMaps.org is a global mapping system that allows citizens to map locations of cycling incidents and report on the nature of the event. Attributes collected are designed for spatial modeling research on predictors of safety and risk, and to aid surveillance and planning. Released in October 2014, within 2 months the website had more than 14,000 visitors and mapping in 14 countries. Collisions represent 38% of reports (134/356) and near misses 62% (222/356). In our pilot city, Victoria, Canada, citizens mapped data equivalent to about 1 year of official cycling collision reports within 2 months via BikeMaps.org. Using report completeness as an indicator, early reports indicate that data are of high quality with 50% being fully attributed and another 10% having only one missing attribute. We are advancing this technology, with the development of a mobile App, improved data visualization, real-time altering of hazard reports, and automated open-source tools for data sharing. Researchers and citizens interested in utilizing the BikeMaps.org technology can get involved by encouraging citizen mapping in their region. Frontiers Media S.A. 2015-03-30 /pmc/articles/PMC4378118/ /pubmed/25870852 http://dx.doi.org/10.3389/fpubh.2015.00053 Text en Copyright © 2015 Nelson, Denouden, Jestico, Laberee and Winters. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Nelson, Trisalyn A. Denouden, Taylor Jestico, Benjamin Laberee, Karen Winters, Meghan BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title | BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title_full | BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title_fullStr | BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title_full_unstemmed | BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title_short | BikeMaps.org: A Global Tool for Collision and Near Miss Mapping |
title_sort | bikemaps.org: a global tool for collision and near miss mapping |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4378118/ https://www.ncbi.nlm.nih.gov/pubmed/25870852 http://dx.doi.org/10.3389/fpubh.2015.00053 |
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