New England UTC Year 24 – Research/Education Project Description UTC Project Number: UCNR24-30 Project Title: Investigation of Road and Roadside Design Elements Associated with Elderly Pedestrian Safety University: University of Connecticut Principal Investigators: John N. Ivan, Ph.D. and Nalini Ravishanker, Ph.D. PI Contact Information: John N. Ivan, john.ivan@uconn.edu Nalini Ravishanker, Nalini.ravishanker@uconn.edu Funding Sources: $63,038 (Federal), $65,199 (Cost Share) Total Project Cost: $128,237 Funding Agency: USDOT/RITA Grant number: DTRT12-G-UTC01 Start date: 1/1/12 (Start date at UConn: 8/23/12) End date: 12/31/13 Brief description of project: This project will investigate factors associated with senior pedestrian crash severity relative to non-seniors and the extent to which observations of conflict severity between senior pedestrians and vehicles are adequate indicators of the actual crash severity. The project will also explore the sensitivity of the findings to the size of sample drawn from a large database consisting of all crashes involving pedestrians in Connecticut from 1995 to 2011. We will draw several repeated random samples of crashes involving senior pedestrians and non-senior pedestrians from the large crash database, merge each of these samples against a database containing the road and roadside characteristics, fit suitable regression, and then use meta-analysis methods to combine information from the repeated samples to obtain a robust covariate selection. Conflicts between pedestrians and vehicles will be observed using a variation of the Swedish Traffic Conflicts Technique, and classified by estimated age of the pedestrian and the severity of the conflict. Observations will be made at locations specifically targeted for having characteristics found to be associated with senior pedestrian crash severity relative to non-seniors. We propose a statistical test of association between conflict severity and crash severity based on data obtained through the field observation and 1 sampled from the crash database. We also propose a hierarchical regression of crash severity on road and road characteristics as well as conflicts severity, where conflicts severity is itself modeled as a function of relevant predictors. The project will acquire data from the Connecticut Crash Data Repository now being developed at the University and share results with the users of the Repository through a Living Laboratory arrangement. Describe implementation of research/education outcomes: In addition to the living laboratory application, described below, the findings from this research will be transferred to both researchers and practitioners by the following products: A final report documenting the study objectives, data collection, statistical analysis and interpretation of the results; Papers prepared for scholarly conferences and peer-reviewed journals; and An article summarizing the findings for the newsletter of the Connecticut Transportation Institute’s Technology Transfer Center. Impacts/benefits of implementation: Most efforts to improve safety of senior pedestrians have focused on behavioral and human factor considerations. This project will identify physical characteristics of the road and roadside associated with higher severity for senior pedestrian crashes relative to non-seniors. We will also identify the extent to which - and the contexts in which observations of pedestrian-vehicle conflicts are good predictors for the actual crash severity distribution for senior pedestrians. These findings will be valuable for road safety analysts both to learn the road and neighborhood contexts that are most critical for improving senior pedestrian safety as well as the value of using short term observations of conflicts as a tool for learning where to further focus safety improvement efforts. A team at the University of Connecticut is developing a crash data repository (CDR) for the State of Connecticut. This development is currently funded by the National Highway Traffic Safety Administration (NHTSA); the ConnDOT Bureau of Policy and Planning is now considering transferring long-term maintenance of its crash record database to the University, effectively institutionalizing the CDR for archiving crash data for the State. At this point the repository includes data extracted from police reports describing crashes on the State road network since January 1, 1995, along with all crashes on local roads since January 1, 2007 and all injury or fatal crashes on local roads from January 1, 1995 to December 31, 2006. The CDR will soon include roadway characteristics, including traffic volumes for all State roads. The CDR offers an outstanding opportunity for a “living laboratory” application of the outcomes of this proposed research as well as other road safety research conducted in Connecticut. In fact, the CDR will provide the data for the project. The CDR will offer users the capability of preparing canned or user-defined reports as well as download raw data for any selection of roads in Connecticut. The CDR can also incorporate the findings from this project by offering users pre-defined reports and analysis that will 2 identify road locations with characteristics associated with senior pedestrian safety issues and then compare the observed crash experience to identify the locations where action is indicated. This project will be an excellent opportunity to demonstrate the potential for a two-way “living laboratory” relationship between practice and research using the CDR. 3