Scholarly Work - Western Transportation Institute
Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/9749
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Item Setting up ROaDS Partners with Customized Surveys(Western Transportation Institute, 2024-09) Bell, Matthew; Kack, DavidThe Roadkill Observation and Data System (ROaDS) project, developed through a partnership between the U.S. Fish and Wildlife Service, National Park Service, and the Western Transportation Institute at Montana State University, provides a user-friendly data collection system to monitor wildlife-vehicle collisions (WVCs) and identify safe crossing locations on roads managed by federal land management agencies (FLMAs). This report outlines recent outreach efforts and successful implementation of the ROaDS system with external partners, including the Nevada Department of Transportation (NDOT) and the Indiana Department of Natural Resources (IDNR). Custom surveys were developed for these agencies to address specific data collection and conservation goals, resulting in improved capacity to monitor WVCs and identify high-risk areas for targeted mitigation. The project has garnered interest from several other state transportation agencies, showcasing the adaptability of the ROaDS system for diverse road and wildlife management applications. The successful deployment in Nevada and Indiana demonstrates the system’s potential to support data-driven decision-making and enhance wildlife connectivity across the country.Item Exploring Apex Predator Effects on Wildlife-Vehicle Collisions: A Case Study on Wolf Reintroductions in Yellowstone(Western Transportation Institute, 2024-09) Bell, Matthew; Huijser, Marcel P.; Kack, DavidThis study investigates the impact of wolf reintroduction on wildlife-vehicle collisions (WVCs) along a segment of US-191 bordering Yellowstone National Park. Wolves were reintroduced in 1995–1996, and subsequent wolf pack establishment may have influenced the behavior and population dynamics of prey species, potentially altering WVC patterns. Using carcass data collected from 1989 to 2021, the analysis was divided into two primary phases: before wolves (1989–1996) and after wolves (1997–2021). A series of linear mixed-effects models were developed to assess changes in WVCs across these time periods. Predictor variables included average annual daily traffic (AADT), elk population estimates, and wolf counts. Results showed that WVCs significantly declined in the post-wolf period, suggesting that the presence of wolves may reduce WVCs directly by modifying prey behavior and movement patterns, or indirectly by reducing prey population densities. Further analysis revealed that while elk populations were a significant predictor of WVCs before wolves were reintroduced, this relationship weakened post-reintroduction. Traffic volume did not significantly influence WVC patterns in either period, nor did it interact significantly with wolf presence. The inclusion of wolf counts as a continuous variable showed a negative relationship with WVCs, indicating that higher wolf densities may contribute to a further reduction in collisions over time. These findings suggest that apex predators can play a role in mitigating human-wildlife conflicts, such as WVCs, by influencing prey species’ behavior and distribution. The study provides valuable insights for wildlife managers and transportation planners, highlighting the potential benefits of predator conservation for road safety and ecosystem health.Item Patterns of Domestic Animal-Vehicle Collisions on Tribal Lands in Montana, U.S.(Western Transportation Institute, 2024-09) Bell, Matthew; Huijser, Marcel P.; Kack, DavidAnimal-vehicle collisions (AVCs) are a significant concern for motorist safety and pose a risk to both wildlife and domestic animals. This report analyzes spatial patterns of wildlife-vehicle collisions (WVCs) and domestic animal-vehicle collisions (DAVCs) on Montana’s tribal lands to identify high-risk areas and inform mitigation strategies. Data from the Montana Department of Transportation (MDT) for large mammal carcasses (2008–2022) and reported crashes (2008–2020) were used to perform Kernel Density Estimation (KDE) and Getis-Ord Gi* (GOG) hotspot analyses for three tribal reservations with sufficient data: Blackfeet, Crow, and Flathead. The KDE results show distinct spatial patterns for DAVCs and WVCs on each reservation, with DAVC hotspots concentrated near agricultural and grazing areas, while WVC hotspots were associated with natural habitats and wildlife corridors. The GOG analysis further revealed that DAVC hotspots tend to be more temporally stable, suggesting that collisions with domestic animals are influenced by consistent factors such as livestock access points and grazing practices. In contrast, WVC hotspots were more variable, likely driven by changes in wildlife movement patterns and seasonal behavior. Overall, the findings indicate that the elevated rates of DAVCs on tribal lands, compared to non-tribal lands, are likely due to unique factors such as open range grazing practices and road infrastructure adjacent to grazing lands. This report emphasizes the need for targeted mitigation strategies on tribal roads, such as enhanced livestock fencing, road signage, and livestock underpasses in high-risk areas, to reduce collisions and improve safety for both motorists and animals. Understanding the distinct spatial and temporal patterns of DAVCs and WVCs is crucial for developing comprehensive mitigation approaches that enhance safety and connectivity on Montana’s tribal lands.Item Risk mapping of wildlife–vehicle collisions across the state of Montana, USA: a machine-learning approach for imbalanced data along rural roads(Oxford University Press, 2024-05) Bell, Matthew; Wang, Yiyi; Ament, RobWildlife–vehicle collisions (WVCs) with large animals are estimated to cost the USA over 8 billion USD in property damage, tens of thousands of human injuries and nearly 200 human fatalities each year. Most WVCs occur on rural roads and are not collected evenly among road segments, leading to imbalanced data. There are a disproportionate number of analysis units that have zero WVC cases when investigating large geographic areas for collision risk. Analysis units with zero WVCs can reduce prediction accuracy and weaken the coefficient estimates of statistical learning models. This study demonstrates that the use of the synthetic minority over-sampling technique (SMOTE) to handle imbalanced WVC data in combination with statistical and machine-learning models improves the ability to determine seasonal WVC risk across the rural highway network in Montana, USA. An array of regularized variables describing landscape, road and traffic were used to develop negative binomial and random forest models to infer WVC rates per 100 million vehicle miles travelled. The random forest model is found to work particularly well with SMOTE-augmented data to improve the prediction accuracy of seasonal WVC risk. SMOTE-augmented data are found to improve accuracy when predicting crash risk across fine-grained grids while retaining the characteristics of the original dataset. The analyses suggest that SMOTE augmentation mitigates data imbalance that is encountered in seasonally divided WVC data. This research provides the basis for future risk-mapping models and can potentially be used to address the low rates of WVCs and other crash types along rural roads.Item West-Wide Study to Identify Important Highway Locations for Wildlife Crossings(Western Transportation Institute, 2023-06) Paul, Kylie; Faselt, Jamie; Bell, Matthew; Huijser, Marcel P.; Theobald, David; Keeley, Annika; Ament, RobertWildlife-vehicle collisions (WVCs), reduced ecological connectivity, and associated impacts to wildlife and humans are widespread problems across road networks, but mitigation measures like wildlife crossings1 that can address those problems are often considered expensive. This effort aims to support transportation agencies, wildlife agencies and other decision-makers by identifying important road segments where cost-effective wildlife crossings can be deployed to address motorist safety, ecological connectivity and other conservation values across the eleven U.S. western conterminous states of Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.Item US-191/MT-64 Wildlife & Transportation Assessment(Center for large Landscape Conservation, 2023-11) Fairbank, Elizabeth; Penrod, Kristeen; Wearn, Anna; Blank, Matt; Bell, Matthew; Huijser, Marcel; Ament, Rob; Fick, Damon; Breuer, Abigail; Hance, BradenThe US Highway 191 (US-191)/Montana Highway 64 (MT-64) Wildlife & Transportation Assessment (the “Assessment”) improves understanding of the issues affecting driver safety, wildlife mortality, and wildlife movement along the major routes that connect Yellowstone National Park, the Custer Gallatin National Forest, and other public lands to the growing population centers of Bozeman, Big Sky, and nearby communities in Southwest Montana. By engaging personnel from multiple federal, state, and local agencies along with key stakeholders to examine problems and possibilities through the lens of spatial ecology, the US-191/MT-64 Wildlife & Transportation Assessment brings new insight into the impact of two major roads that unite local communities yet divide the landscape and natural habitats. The information included in this report should inform and support area communities and agency decision-makers to select and pursue wildlife accommodation options. With the passage of the Infrastructure Investment and Jobs Act of 2021, significant funds for wildlife accommodation measures are available nationwide on a competitive basis. The US-191/MT-64 Wildlife & Transportation Assessment better equips part of Southwest Montana’s gateway to Yellowstone National Park to take advantage of new funding opportunities.Item Improving Connectivity: Innovative Fiber-Reinforced Polymer Structures for Wildlife, Bicyclists, and/or Pedestrians(Nevada Department of Transportation, 2022-09) Bell, Matthew; Ament, Rob; Fick, Damon; Huijser, MarcelEngineers and ecologists continue to explore new methods and adapt existing techniques to improve highway mitigation measures that increase motorist safety and conserve wildlife species. Crossing structures, overpasses and underpasses, combined with fences, are some of the most highly effective mitigation measures employed around the world to reduce wildlife-vehicle collisions (WVCs) with large animals, increase motorist safety, and maintain habitat connectivity across transportation networks for many other types and sizes of wildlife. Published research on structural designs and materials for wildlife crossings is limited and suggests relatively little innovation has occurred. Wildlife crossing structures for large mammals are crucial for many highway mitigation strategies, so there is a need for new, resourceful, and innovative techniques to construct these structures. This report explored the promising application of fiber-reinforced polymers (FRPs) to a wildlife crossing using an overpass. The use of FRP composites has increased due to their high strength and light weight characteristics, long service life, and low maintenance costs. They are highly customizable in shape and geometry and the materials used (e.g., resins and fibers) in their manufacture. This project explored what is known about FRP bridge structures and what commercial materials are available in North America that can be adapted for use in a wildlife crossing using an overpass structure. A 12-mile section of US Highway 97 (US-97) in Siskiyou County, California was selected as the design location. Working with the California Department of Transportation (Caltrans) and California Department of Fish and Wildlife (CDFW), a site was selected for the FRP overpass design where it would help reduce WVCs and provide habitat connectivity. The benefits of a variety of FRP materials have been incorporated into the US-97 crossing design, including in the superstructure, concrete reinforcement, fencing, and light/sound barriers on the overpass. Working with Caltrans helped identify the challenges and limitations of using FRP materials for bridge construction in California. The design was used to evaluate the life cycle costs (LCCs) of using FRP materials for wildlife infrastructure compared to traditional materials (e.g., concrete, steel, and wood). The preliminary design of an FRP wildlife overpass at the US-97 site provides an example of a feasible, efficient, and constructible alternative to the use of conventional steel and concrete materials. The LCC analysis indicated the preliminary design using FRP materials could be more cost effective over a 100-year service life than ones using traditional materials.