Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week

Understanding the spatial and temporal patterns of animal road mortality is important for planning protective measures and raising driver awareness. In our study of Lithuania, spanning from 2002 to 2022, we examined these patterns based on road types and categorized them by working days, weekends, a...

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Published in:Diversity
Main Authors: Linas Balčiauskas, Andrius Kučas, Laima Balčiauskienė
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2024
Subjects:
Online Access:https://doi.org/10.3390/d16020084
https://doaj.org/article/5cf0bc31bd1d4fa4817bba80adc97275
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spelling ftdoajarticles:oai:doaj.org/article:5cf0bc31bd1d4fa4817bba80adc97275 2024-09-15T17:36:15+00:00 Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week Linas Balčiauskas Andrius Kučas Laima Balčiauskienė 2024-01-01T00:00:00Z https://doi.org/10.3390/d16020084 https://doaj.org/article/5cf0bc31bd1d4fa4817bba80adc97275 EN eng MDPI AG https://www.mdpi.com/1424-2818/16/2/84 https://doaj.org/toc/1424-2818 doi:10.3390/d16020084 1424-2818 https://doaj.org/article/5cf0bc31bd1d4fa4817bba80adc97275 Diversity, Vol 16, Iss 2, p 84 (2024) roadkill temporal patterns ungulate roadkills Alces alces Capreolus capreolus long weekends four-day work week Biology (General) QH301-705.5 article 2024 ftdoajarticles https://doi.org/10.3390/d16020084 2024-08-05T17:49:58Z Understanding the spatial and temporal patterns of animal road mortality is important for planning protective measures and raising driver awareness. In our study of Lithuania, spanning from 2002 to 2022, we examined these patterns based on road types and categorized them by working days, weekends, and long weekends, predicting the potential impact of transitioning to a four-day working week. We found that road type explains 22–50% of the variability in roadkill numbers for moose, red deer, wild boar, and roe deer. The highest occurrences were on main roads, while regional roads had the fewest incidents. The overall number of roadkills, especially those involving ungulates, was highest on weekends, followed by workdays, with the least on long weekends. However, these variations lacked statistical significance, and their effect size was small. We also observed a trend of increased roadkill numbers on the day before, the first day, notably on All Saints Day, or the last day of long weekends. In this context, with the introduction of a four-day work week, we are only expecting the highest roadkill numbers to move from Friday to Thursday. Article in Journal/Newspaper Alces alces Directory of Open Access Journals: DOAJ Articles Diversity 16 2 84
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic roadkill temporal patterns
ungulate roadkills
Alces alces
Capreolus capreolus
long weekends
four-day work week
Biology (General)
QH301-705.5
spellingShingle roadkill temporal patterns
ungulate roadkills
Alces alces
Capreolus capreolus
long weekends
four-day work week
Biology (General)
QH301-705.5
Linas Balčiauskas
Andrius Kučas
Laima Balčiauskienė
Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
topic_facet roadkill temporal patterns
ungulate roadkills
Alces alces
Capreolus capreolus
long weekends
four-day work week
Biology (General)
QH301-705.5
description Understanding the spatial and temporal patterns of animal road mortality is important for planning protective measures and raising driver awareness. In our study of Lithuania, spanning from 2002 to 2022, we examined these patterns based on road types and categorized them by working days, weekends, and long weekends, predicting the potential impact of transitioning to a four-day working week. We found that road type explains 22–50% of the variability in roadkill numbers for moose, red deer, wild boar, and roe deer. The highest occurrences were on main roads, while regional roads had the fewest incidents. The overall number of roadkills, especially those involving ungulates, was highest on weekends, followed by workdays, with the least on long weekends. However, these variations lacked statistical significance, and their effect size was small. We also observed a trend of increased roadkill numbers on the day before, the first day, notably on All Saints Day, or the last day of long weekends. In this context, with the introduction of a four-day work week, we are only expecting the highest roadkill numbers to move from Friday to Thursday.
format Article in Journal/Newspaper
author Linas Balčiauskas
Andrius Kučas
Laima Balčiauskienė
author_facet Linas Balčiauskas
Andrius Kučas
Laima Balčiauskienė
author_sort Linas Balčiauskas
title Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
title_short Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
title_full Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
title_fullStr Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
title_full_unstemmed Roadkill Patterns on Workdays, Weekends and Long Weekends: Anticipating the Implications of a Four-Day Work Week
title_sort roadkill patterns on workdays, weekends and long weekends: anticipating the implications of a four-day work week
publisher MDPI AG
publishDate 2024
url https://doi.org/10.3390/d16020084
https://doaj.org/article/5cf0bc31bd1d4fa4817bba80adc97275
genre Alces alces
genre_facet Alces alces
op_source Diversity, Vol 16, Iss 2, p 84 (2024)
op_relation https://www.mdpi.com/1424-2818/16/2/84
https://doaj.org/toc/1424-2818
doi:10.3390/d16020084
1424-2818
https://doaj.org/article/5cf0bc31bd1d4fa4817bba80adc97275
op_doi https://doi.org/10.3390/d16020084
container_title Diversity
container_volume 16
container_issue 2
container_start_page 84
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