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Poster Presentation at the Conference

Transportation Safety

Session: Meet the Author - Poster Session PS-6

1371662 - Conceptual Development for a Generalized Tribal Crash Safety Dashboard

Friday, June 16, 2023

3:30 PM – 5:00 PM CST

Room: Governor's Grand Ballroom
Salon ABC

TRACK: Poster Presentation

Primary Author(s)

Tianyi Chen, Ph.D.

Postdoc Research Associate
University of Wisconsin - Madison
Madison, Wisconsin, United States

Presenter(s)

Keshu Wu

Research Assistant
University of Wisconsin-Madison
Madison, WI, United States
HS

Haotian Shi

Research Assistant
UW-Madison
Madison, WI, United States

Co-Author(s)

Steven T. Parker, Ph.D.

Managing Director, TOPS Lab
University of Wisconsin-Madison
Madison, Wisconsin, United States
Glenn A. Vorhes, PE, GISP

Traveler Information Systems Developer
University of Wisconsin
Verona, Wisconsin, United States
David A. Noyce, Ph.D.

Executive Associate Dean and Arthur F. Hawnn Professor
University of Wisconsin-Madison
Madison, Wisconsin, United States

Tribal lands have historically experienced higher crash rates and injury severities compared to other areas throughout the United States. Effective data-driven safety analysis methods are critical for tribal lands to allocate resources and develop tribal safety programs. To perform the feasible and reproducible tribal crash analysis, this study identifies the minimum data requirement and creates a generic tribal crash dashboard prototype. The dashboard effectively provides statistical performance measurement approaches, monitors the tribal safety trend regarding different indicators, and gets updated as real-time data flows in, which can be implemented by any state. Specifically, the dashboard capabilities are demonstrated concerning the Wisconsin tribal crash data. It is used to locate the high-risk tribal land in Wisconsin meanwhile analyzing and comparing Wisconsin statewide crashes and tribal crashes based on the crash severity. The findings illustrate that the roads in tribal lands are more dangerous than roads in other areas in Wisconsin, especially the rural areas. The crash types are then analyzed in the dashboard to investigate the reasons and insights behind the Wisconsin tribal crashes. This dashboard concept demonstration shows that it can facilitate a more intuitive understanding of tribal crashes from the statistical perspective, which helps leverage available data sources and better develop effective safety countermeasures.

Learning Objectives:

Attendees can expect to learn the following from this session:

This study identifies the minimum data requirements to perform tribal crash data analysis.
This study develops and demonstrates a generic dashboard of analysis techniques based on the data.
This study analyzes and locates high-risk roadways and crash hotspots in tribal lands and provides the starting point for deeper crash analysis.