Wildlife-vehicle collision liability in Europe: A review of existing approaches and their implications

Bíl, Michal; Balčiauskas, Linas; Bílová, Martina; Cellina, Sandra; Favilli, Filippo; Gačić, Dragan; Guinard, Éric; Heurich, Marco; Ivanova, Nedka; Junghardt, Johann; Keuling, Oliver; Kruuse, Maris; Kukalaj, Q; Langbein, Jochen; Laube, Patrick; Licoppe, Alain; Masaryk, P; Maślanko, Weronika; Mayer, Martin; Moroney, Aoife; Moț, Radu; Mrđenović, Damir; Náhlik, András; Nebunu, A; Nezval, Vojtěch; Niemi, Milla; Pokorny, Boštjan; Psaralexi, Maria; Ralevic, S; Ricci, Stefano; Rolandsen, Christer M.; Rosell, Carme; dos Santos, Sandra Maria; Seiler, Andreas; Steiner, Warren E.; Swinnen, Kristijn RR; Šprem, Nikica; Trajçe, Aleksandër; Trpeski, Vlatko; van der Grift, E.A.; Vogiatzakis, Ioannis Ν.; Zihmanis, Ilgvars · 2025 · OpenAlex-citations

DOI: 10.1016/j.jenvman.2025.124986

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This study addresses the fragmented legal and data landscape surrounding wildlife-vehicle collisions (WVC) in Europe. Motivated by the high frequency of WVCs—resulting in millions of animal deaths and approximately 90 human fatalities annually across the continent—the authors sought to clarify who bears liability for these incidents and how these legal frameworks influence reporting behaviors. The research aims to analyze current liability approaches, compare practices across nations, and discuss how these rules affect the collection of reliable data necessary for identifying collision hotspots and implementing mitigation measures. To achieve these objectives, the researchers conducted a comprehensive survey involving representatives from 36 European countries. The team consisted of academics and practitioners with expertise in wildlife ecology, game management, and transport research. Data were collected via a structured web-based questionnaire that queried respondents on WVC liability laws, compensation mechanisms, recommended driver procedures, and the existence of WVC or roadkill databases. The survey also explored whether liability varied based on factors such as road class, the presence of warning signs, driver compliance, or the specific animal species involved. The results reveal significant heterogeneity in liability frameworks. In 19 countries, no party is held liable for a WVC involving a wild animal. In the remaining nations, liability may fall on drivers, road managers, or hunters, often contingent on specific conditions. For instance, in Switzerland, drivers are liable and must report collisions, while in Serbia, hunters are liable only for game species. In 14 countries, liability depends on variables such as road fencing, warning signs, or whether the driver was speeding. Human fatalities were reported in 27 countries, though data on injuries and socio-economic losses were largely unavailable due to missing databases. The study found that liability rules often incentivize actors to avoid reporting incidents to evade responsibility, leading to significant underreporting. Furthermore, data availability is inconsistent; while 21 countries have accessible WVC information, many lack species-specific data or rely on fragmented regional systems. Volunteer-based roadkill databases exist in several nations but suffer from limited coverage and sustainability issues. The authors conclude that the current patchwork of liability laws hinders effective wildlife management and road safety by discouraging accurate incident reporting. This underreporting prevents the identification of collision hotspots and the evaluation of mitigation strategies. The paper proposes modifying WVC liability procedures to enhance transparency and data collection. By aligning legal frameworks to encourage reporting rather than penalize it, stakeholders can improve the quality of WVC data, thereby supporting better-informed conservation efforts and traffic safety improvements across Europe.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

StageOutcomeToolModelPromptAttemptsCompleted
discover success OpenAlex-citations 1 2026-06-20
archive success openalex 5 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-20
chunk success chunk 1 2026-06-20
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-20
promote success 1 2026-06-20
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-20
verify success 1 2026-06-26

Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.