Relevant bibliographies by topics / Deer-vehicle collisions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Deer-vehicle collisions'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Deer-vehicle collisions"

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Olson, Daniel D., John A. Bissonette, Patricia C. Cramer, Kevin D. Bunnell, Daniel C. Coster, and Patrick J. Jackson. "Vehicle Collisions Cause Differential Age and Sex-Specific Mortality in Mule Deer." Advances in Ecology 2014 (November 11, 2014): 1–10. http://dx.doi.org/10.1155/2014/971809.

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As roads continue to be built and expanded, it is important that managers understand the effects that vehicle-related mortality can have on the population dynamics of wildlife. Our objective was to examine the frequency of mule deer (Odocoileus hemionus) vehicle collisions to determine if different demographic groups showed differential susceptibility to mortality when compared with their proportion in the population. We also compared vehicle collision rates of mule deer, elk (Cervus canadensis), and moose (Alces alces) to determine their relative vulnerability to vehicle collisions. We found
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Davies, Christopher, Wendy Wright, Fiona Hogan, and Casey Visintin. "Predicting deer–vehicle collision risk across Victoria, Australia." Australian Mammalogy 42, no. 3 (2020): 293. http://dx.doi.org/10.1071/am19042.

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The risk of deer–vehicle collisions (DVCs) is increasing in south-east Australia as populations of introduced deer expand rapidly. There are no investigations of the spatial and temporal patterns of DVC or predictions of where such collisions are most likely to occur. Here, we use an analytical framework to model deer distribution and vehicle movements in order to predict DVC risk across the State of Victoria. We modelled the occurrence of deer using existing occurrence records and geographic climatic variables. We estimated patterns of vehicular movements from records of average annual daily
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Vrkljan, Joso, Dubravka Hozjan, Danijela Barić, Damir Ugarković, and Krešimir Krapinec. "Temporal Patterns of Vehicle Collisions with Roe Deer and Wild Boar in the Dinaric Area." Croatian journal of forest engineering 41, no. 2 (2020): 347–58. http://dx.doi.org/10.5552/crojfe.2020.789.

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The purpose of this study was to determine the frequency of wildlife-vehicle collisions (WVC) based on the animal species, and to deepen the knowledge of temporal patterns of vehicle collisions with roe deer and wild boar. The study analyses the data from police reports on vehicle collisions with animals on state roads, by date and time, section of road, and animal species over a 5-year period (2012–2016). These data were analysed to determine the temporal dynamics of vehicle collisions with roe deer and wild boar by month, time of day, and moon phase. On the state roads in the Dinaric area, r
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Gonser, Rusty A., Ryan R. Jensen, and Samuel E. Wolf. "The spatial ecology of deer–vehicle collisions." Applied Geography 29, no. 4 (2009): 527–32. http://dx.doi.org/10.1016/j.apgeog.2008.11.005.

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NORO, Misako, Fumihiro HARA, and Toru HAGIWARA. "Determining Causal Factors in Deer-Vehicle Collisions by Examining Deer Ecology." INFRASTRUCTURE PLANNING REVIEW 26 (2009): 889–900. http://dx.doi.org/10.2208/journalip.26.889.

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Jiang, Xinguo, Yanjun Qiu, and Richard W. Lyles. "Hazard Assessment of Deer–Vehicle Collisions in Michigan." Human and Ecological Risk Assessment: An International Journal 19, no. 4 (2012): 900–915. http://dx.doi.org/10.1080/10807039.2012.691817.

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Found, Rob, and Mark S. Boyce. "Predicting deer–vehicle collisions in an urban area." Journal of Environmental Management 92, no. 10 (2011): 2486–93. http://dx.doi.org/10.1016/j.jenvman.2011.05.010.

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Gkritza, Konstantina, Michael Baird, and Zachary N. Hans. "Deer-vehicle collisions, deer density, and land use in Iowa's urban deer herd management zones." Accident Analysis & Prevention 42, no. 6 (2010): 1916–25. http://dx.doi.org/10.1016/j.aap.2010.05.013.

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Fedorca, Ancuta, Mihai Fedorca, Ovidiu Ionescu, Ramon Jurj, Georgeta Ionescu, and Marius Popa. "Sustainable Landscape Planning to Mitigate Wildlife–Vehicle Collisions." Land 10, no. 7 (2021): 737. http://dx.doi.org/10.3390/land10070737.

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Road development, traffic intensification, and collisions with wildlife represent a danger both for road safety and species conservation. For planners, deciding which mitigation methods to apply is often problematic. Through a kernel density estimate, we analyzed 715 crossing locations and wildlife–vehicle collisions (WVCs) involving brown bears, lynx, wolf, red deer, roe deer, and wild boar in the Southeastern Carpathian Mountains. We identified 25 WVC hotspots, of which eight require urgent mitigation of existing infrastructure. Moreover, many of these hotspots are in Natura 2000 sites, alon
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Oey-Devine, Theresa D., Stephen D. Helmer, Jeanette G. Ward, and James M. Haan. "Deer–Vehicle Collisions are Associated with Worsened Outcomes for Motorcyclists and Direct Collisions." American Surgeon 79, no. 12 (2013): 1313–16. http://dx.doi.org/10.1177/000313481307901230.

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Dissertations / Theses on the topic "Deer-vehicle collisions"

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Lograsso, Kamiliah L. "Modeling Deer-Vehicle Collisions in Edwardsville, Illinois." Thesis, Southern Illinois University at Edwardsville, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1545177.

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<p> This research aimed to determine which factors are significant for modeling deer-vehicle collisions, regarding the white-tailed deer, for a city in Illinois. In past research, very detailed variables were used with precise measurements. To simply the model, generalized variables were used: six land use classifications, traffic volume, road width, speed limit, three reproductive seasons of the white-tailed deer, and six classes for time of the day. While all the tested variables proved to be significant, the model rejected the time of the day variable. The binary logistic regression model u
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Parker, Israel David. "Effects of translocation and deer-vehicle collision mitigation on Florida Key deer." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1878.

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Olson, Daniel D. "Assessing Vehicle-Related Mortality of Mule Deer in Utah." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1994.

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Roads are essential in modern societies, but as populations grow and traffic volumes rise, roads will continue to be built and expanded. As a result, the effects that roads have on wildlife will likely intensify, making it imperative that managers understand those effects so mitigation can be directed accordingly. In Utah, considerable areas of mule deer (Odocoileus hemionus) habitat have been bisected by roads. Mule deer are commonly involved in vehicle collisions and there is concern that roads and vehicle traffic are impacting populations. This project was conducted to determine the number
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Wood, Peggy. "Intercept Feeding as a Means of Reducing Deer-vehicle Collisions." DigitalCommons@USU, 1986. https://digitalcommons.usu.edu/etd/6444.

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Intercept feeding was tested for its efficacy in reducing deer-vehicle collision frequency by diverting deer movement patterns away from highways using alfalfa hay as an attractant. Ratios of road kills in control vs. treatment zones of three highway segments indicated that feeding reduced collision frequency. Spotlighting counts of live deer were significantly higher (P
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Braden, Anthony Wayne. "Evaluation of the effects of a highway improvement project on Key deer." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/4277.

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Deer-vehicle collisions (DVCs) along a 5.6-km segment of United States Highway 1 (US 1) on Big Pine Key (BPK), Florida responsible for approximately 26% of endangered Florida Key deer (Odocoileus virginianus clavium) annual mortalities. The Florida Department of Transportation (FDOT) constructed a 2.6-km long system of fencing, 2 underpasses, and 4 experimental deer guards to address DVCs along a portion of the US 1 roadway in 2001–2002. I evaluated the effectiveness of the project in reducing Key deer mortality by comparing (1) survival of radio-collared deer, (2) deer-vehicle collisions
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Lehnert, Mark E. "Mule Deer Highway Mortality in Northeastern Utah: An Analysis of Population-Level Impacts and a New Mitigative System." DigitalCommons@USU, 1996. https://digitalcommons.usu.edu/etd/6476.

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Rerouting highways to accommodate construction of the Jordanelle Reservoir in northeastern Utah caused a dramatic increase in vehicle collisions with mule deer (Odocoileus hemionus). I evaluated the effectiveness of a new system of highway crosswalk structures installed to reduce deer losses and preserve seasonal migrations. In addition, I constructed computer simulation models to investigate how highway mortality has impacted the Jordanelle deer population. The crosswalk system restricted deer crossings to specific, well-marked areas along highways where motorists could anticipate them. Subse
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Rosa, Silvia A. S. "Highway Effects on Small Mammal Communities and Effectiveness of a Deer-Vehicle Collision Mitigation Strategy." DigitalCommons@USU, 2006. https://digitalcommons.usu.edu/etd/6615.

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My work focused on the study of road effects and mitigation of negative impacts of roads on wildlife. Two different studies were conducted on Interstate 15, in southern Utah. My first study reported on road effects on small mammal communities. The results suggested that overall, there was no clear effect on small mammal populations relative to distance from the road. Most small mammal species did not appear to be negatively affected by the presence of the road. Instead, the road seemed to have either a neutral or a positive effect. The abundance and diversity of small mammals responded more ma
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Valitzski, Sharon Ann. "Evaluation of sound as a deterrent for reducing deer-vehicle collisions." 2007. http://purl.galileo.usg.edu/uga%5Fetd/valitzski%5Fsharon%5Fa%5F200708%5Fms.

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D'Angelo, Gino Jude. "Development and evaluation of devices designed to minimize deer-vehicle collisions." 2007. http://purl.galileo.usg.edu/uga%5Fetd/d-angelo%5Fgino%5Fj%5F200705%5Fphd.

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Pierce, Amanda Marie. "Spatial and temporal relationships between deer harvest and deer-vehicle collisions at Oak Ridge Reservation, Tennessee." 2010. http://trace.tennessee.edu/utk_gradthes/742.

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The Department of Energy Oak Ridge Reservation (ORR) and the nearby adjoining City of Oak Ridge, Tennessee had experienced a rise in deer-vehicle collisions (DVCs) to the point where safety for employees and residents became a concern. I investigated the effect of hunting, land cover, road mileage, season, lunar phase, sex, and change in traffic patterns that coincide with work shifts on DVCs from 1975 - 2008. The study area was divided into grids of 1.5 km² each for administration and data recording by managing agencies. Statistical analyses were performed on the ORR (121 grids) and GIS
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Books on the topic "Deer-vehicle collisions"

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D'Angelo, Gino J. Final project report: Development and evaluation of devices designed to minimize deer-vehicle collisions. Daniel B. Warnell School of Forestry and Natural Resources, University of Georgia, 2007.

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Book chapters on the topic "Deer-vehicle collisions"

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Jawad Siddique, Md, and Khaled R. Ahmed. "Deep Learning Technologies to Mitigate Deer-Vehicle Collisions." In Studies in Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65661-4_5.

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Conference papers on the topic "Deer-vehicle collisions"

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Galinskaitė, Lina, Gytautas Ignatavičius, and Vaidotas Valskys. "DEPENDENCE OF VEHICLE COLLISIONS WITH ROE DEER ON SPATIAL AND TEMPORAL FACTORS IN LITHUANIA." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.651.

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Rising road densities, vehicle speeds limits and traffic volumes, combined with recent growth in the population density of various deer species, have increased the risk of DVCs across the world, causing a great deal of animal suffering, traffic safety problems and socio-economic costs. Object of this investigation was to find out collisions trend with roe deer (Capreolus capreolus) in Lithuania. The aim of our study was to determine where in Lithuania accidents occure more frequently and evaluate these accidents in time. In 2013–2017 number of AVCs in Lithuania was recorded more then 12 011 ti
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Fan, Tongtian, Roozbeh Sadeghian, and Siamak Aram. "Deer-Vehicle Collisions Prevention using Deep Learning Techniques." In 2020 IEEE Cloud Summit. IEEE, 2020. http://dx.doi.org/10.1109/ieeecloudsummit48914.2020.00021.

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Hoermann, Christian von, Raphaela Pagany, Katrin Kirchner, Wolfgang Dorner, Marco Heurich, and Ilse Storch. "Predicting the Risk of Deer-vehicle Collisions by Inferring Rules Learnt from Deer Experience and Movement Patterns in the Vicinity of Roads." In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2020. http://dx.doi.org/10.1109/acit49673.2020.9208843.

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Zhou, Debao, Matt Dillon, and Eil Kwon. "Tracking-based deer vehicle collision detection using thermal imaging." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420589.

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Reports on the topic "Deer-vehicle collisions"

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Gulen, Sedat, George McCabe, and Ira Rosenthal. Evaluation of Wildlife Reflectors in Reducing Vehicle Deer Collisions on Indiana Interstate 80/90. Purdue University, 2006. http://dx.doi.org/10.5703/1288284313380.

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Peitz, David, and Naomi Reibold. White-tailed deer monitoring at Arkansas Post National Memorial, Arkansas: 2005–2020 trend report. Edited by Tani Hubbard. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2285087.

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From 16 years (2005–2020) of monitoring trends in white-tailed deer within a defined survey area of Arkansas Post National Memorial, we have been able to demonstrate both population declines and recoveries. The adjusted count of deer had a seven-fold increase between 2007 and 2011 following a two-year decline and a three-fold increase between 2017 and 2019 following a six-year decline. Overall, the deer population has declined slightly, averaging a 0.5% reduction in herd size annually. The number of deer in the survey area ranged from 16.77 ± 21.26 (mean + 95% CI) individuals/km2 in 2007 to 11
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