This webinar is being presented as part of a series partnership with the National Travel Monitoring Exposition and Conference, or NaTMEC. NaTMEC was created to provide travel monitoring professionals and transportation data users from around the world opportunities to share knowledge and good practices, exchange ideas, revisit fundamental concepts, learn new processes, procedures and techniques, and see the latest advancements in policy, technology, and equipment. In lieu of an in-person conference in 2020, NaTMEC is moving to a virtual format to be held June 21-25, 2021. Check natmec-dot-org for more information as it becomes available.
Pedestrian injuries and fatalities have increased (in both number and share) in recent years, nationally and in many states. There is a need for improved pedestrian crash prediction methods to better understand (geometric, traffic, operational, and other) factors associated with pedestrian safety and also to assist in the prioritization and selection of countermeasures to improve pedestrian safety at signalized intersections. Pedestrian exposure data is one of the biggest barriers to overcome for pedestrian safety analysis.
Learn about three different approaches used to improve pedestrian safety through better estimation tools. Two presentations will focus on efforts that use pedestrian push button data at signalized intersections – one project uses these novel data to improve crash prediction models to test the ‘safety in numbers’ concept that’s been demonstrated with bicycling; another uses these data through a machine learning approach to create typologies of pedestrian activity patterns to better convert short-term counts to annual volumes. The third presentation shares a new method developed for identifying and prioritizing additional count locations to aid cities or states seeking to grow their count data collection programs.
- Understand how push button data as a measure of exposure can be used predict pedestrian safety at signalized intersections
- Appreciate distinctive typologies of pedestrian activity that could be used as factor groups to extrapolate short duration counts to daily, weekly, and annual volume estimates.
- Recognize how travel monitoring through an iterative process of model estimation and count location identification can be pursued to continuously refine an agency’s pedestrian exposure estimates.
- Ahadul Islam, Graduate Assistant | Utah State University
- Prasanna Humagain, Research Assistant | Utah State University
- Brian Almdale, Planner II | Toole Design Group
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 completion only. PDHs not included; please see PDH Credit Certificate section for more information on receiving PDHs.
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.
Recordings are available for 30 days following the date of the recording posted. Additional attendees at one location are not eligible to earn PDH credit for viewing an archived recording.