Webinar Description:
Bicycle and pedestrian exposure data are needed to help contextual crash data and determine crash rates. Without the crash rate based on reliable exposure data, it is difficult to understand and accurately determine if crash increases are due to more people on the road or other factors. The first presentation summarizes efforts to launch a statewide pedestrian and bicyclist monitoring program at Texas DOT and provides a foundation for one approach to institutionalize the collection of these exposure data. The second presentation exemplifies how big data can be used to create an exposure map of bicyclists in San Francisco and showed that the number of crashes and the number of people bicycling is needed to understand which corridors actually have higher risk through crash rates. Finally, a unique type of pedestrian exposure is described through data collection efforts to determine the extent of pedestrian trespassing events along railways in North Carolina.
Learning Objectives:
- Become familiar with different program strategies and elements used to implement a statewide pedestrian and bicyclist monitoring program.
- Understand how location-based service apps combined with machine learning can differentiate transportation modes to identify bicycling activity.
- Recognize how estimating the universe of pedestrian trespassing along railroads provides a more complete picture of exposure than the limited strike data available through the Federal Railroad Administration that only represents crash events.
Fee:
No Charge to Register for the webinar
Registration for webinar includes an archived recording with access for 30 days to each registrant and a webinar evaluation that provides a certificate of participation only.
PDH Credit Certificate: If you would like PDH Credit for this webinar, there is a processing fee for each registrant of $15 members/ $25 nonmembers to receive 1.5 PDH credits certificate.
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