IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i10p4644-d1658892.html
   My bibliography  Save this article

A Review of Wildlife–Vehicle Collisions: A Multidisciplinary Path to Sustainable Transportation and Wildlife Protection

Author

Listed:
  • Linas Balčiauskas

    (State Scientific Research Institute Nature Research Centre, 08412 Vilnius, Lithuania)

  • Andrius Kučas

    (State Scientific Research Institute Nature Research Centre, 08412 Vilnius, Lithuania)

  • Laima Balčiauskienė

    (State Scientific Research Institute Nature Research Centre, 08412 Vilnius, Lithuania)

Abstract

This review synthesizes historical and contemporary research on wildlife–vehicle collisions and roadkill, outlining its evolution from early documentation to modern road ecology. It discusses how early efforts in North America and Europe that quantified animal casualties and developed standardized methodologies formed current studies that use advanced geospatial tools, citizen science, and artificial intelligence to analyze spatiotemporal patterns. We examine key ecological, methodological, and economic impacts of roadkill on wildlife populations and human safety, highlighting the role of road density, vehicle speed, and seasonal factors. The framework presented also underscores a commitment to sustainability by integrating environmental conservation with infrastructural development and socio-economic resilience. The review details various mitigation strategies, from fencing and wildlife crossings to dynamic signage, and evaluates their effectiveness in reducing mortality rates, thereby supporting sustainable development in transportation infrastructure and wildlife management. It also identifies research gaps and outlines future directions, advocating for integrated, multidisciplinary approaches to improve wildlife conservation, infrastructure planning, and public awareness in the context of rapidly expanding road networks.

Suggested Citation

  • Linas Balčiauskas & Andrius Kučas & Laima Balčiauskienė, 2025. "A Review of Wildlife–Vehicle Collisions: A Multidisciplinary Path to Sustainable Transportation and Wildlife Protection," Sustainability, MDPI, vol. 17(10), pages 1-31, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4644-:d:1658892
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/10/4644/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/10/4644/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Salvini, Pericle & Kunze, Lars & Jirotka, Marina, 2024. "On self-driving cars and its (broken?) promises. A case study analysis of the German Act on Autonomous Driving," Technology in Society, Elsevier, vol. 78(C).
    2. Ascensão, Fernando & Clevenger, Anthony & Santos-Reis, Margarida & Urbano, Paulo & Jackson, Nathan, 2013. "Wildlife–vehicle collision mitigation: Is partial fencing the answer? An agent-based model approach," Ecological Modelling, Elsevier, vol. 257(C), pages 36-43.
    3. Sungwon Hong & Hee-Bok Park & Mihyun Kim & Hyo Gyeom Kim, 2022. "History and Future Challenges of Roadkill Research in South Korea," Sustainability, MDPI, vol. 14(23), pages 1-12, November.
    4. Tzu-Ming Liu, 2025. "Using Snake Roadkill Patterns to Indicate Effects of Climate Change on Snakes in Taiwan," Sustainability, MDPI, vol. 17(4), pages 1-14, February.
    5. Minkyung Kim & Sangdon Lee, 2023. "Identification of Emerging Roadkill Hotspots on Korean Expressways Using Space–Time Cubes," IJERPH, MDPI, vol. 20(6), pages 1-12, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iñigo Zuberogoitia & Javier del Real & Juan José Torres & Luis Rodríguez & María Alonso & Jabi Zabala, 2014. "Ungulate Vehicle Collisions in a Peri-Urban Environment: Consequences of Transportation Infrastructures Planned Assuming the Absence of Ungulates," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-11, September.
    2. Mamboleo, Abel Ansporthy & Doscher, Crile & Paterson, Adrian, 2021. "A computational modelling approach to human-elephant interactions in the Bunda District, Tanzania," Ecological Modelling, Elsevier, vol. 443(C).
    3. He, Haosen & Buchholtz, Erin & Chen, Frederick & Vogel, Susanne & Yu, Chu A.(Alex), 2022. "An agent-based model of elephant crop consumption walks using combinatorial optimization," Ecological Modelling, Elsevier, vol. 464(C).
    4. Andrius Kučas & Linas Balčiauskas & Carlo Lavalle, 2023. "Identification of Urban and Wildlife Terrestrial Corridor Intersections for Planning of Wildlife-Vehicle Collision Mitigation Measures," Land, MDPI, vol. 12(4), pages 1-18, March.
    5. Indri Arrafi Juliannisa & Hania Rahma & Sri Mulatsih & Akhmad Fauzi, 2025. "Regional Vulnerability to Food Insecurity: The Case of Indonesia," Sustainability, MDPI, vol. 17(11), pages 1-20, May.
    6. Wilansky, Jonathan & Jaeger, Jochen A.G., 2024. "Predicting the effectiveness of wildlife fencing along roads using an individual-based model: How do fence-following distances influence the fence-end effect?," Ecological Modelling, Elsevier, vol. 495(C).
    7. Andrius Kučas & Linas Balčiauskas, 2021. "Roadkill-Data-Based Identification and Ranking of Mammal Habitats," Land, MDPI, vol. 10(5), pages 1-35, May.
    8. Andrius Kučas & Linas Balčiauskas, 2021. "Impact of Road Fencing on Ungulate–Vehicle Collisions and Hotspot Patterns," Land, MDPI, vol. 10(4), pages 1-16, March.
    9. Ceia-Hasse, Ana & Navarro, Laetitia M. & Borda-de-Água, Luís & Pereira, Henrique M., 2018. "Population persistence in landscapes fragmented by roads: Disentangling isolation, mortality, and the effect of dispersal," Ecological Modelling, Elsevier, vol. 375(C), pages 45-53.
    10. Purathekandy, Anjali & Oommen, Meera Anna & Wikelski, Martin & Subramani, Deepak N., 2024. "An agent-based model of elephant crop raid dynamics in the Periyar–Agasthyamalai complex, India," Ecological Modelling, Elsevier, vol. 496(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4644-:d:1658892. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.