Spatiotemporal Analysis of Road Crashes with Animals in Poland

Krukowicz, Tomasz; Firląg, Krzysztof; Chrobot, Paweł

doi:10.3390/su14031253

Cited by 16 publications

(5 citation statements)

References 66 publications

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“…However, it is worth noting that the temporal/spatial patterns are not identical for all types of accidents. Krukowicz et al [60] found no impact on animal-vehicle crashes during the lockdown in the initial period of the COVID-19 pandemic (March-April 2020).…”

Section: Discussionmentioning

confidence: 99%

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Zhang,

Ci,

Huang

et al. 2024

Sustainability

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The COVID-19 pandemic has had a substantial impact on the lives of city residents and has reshaped working patterns, with a concomitant impact on traffic accidents. We correlated data from multiple sources to explore the impact of residents’ mobility and residents’ travel behavior on the spatiotemporal distribution characteristics of urban traffic accident hotspots and its internal mechanism under the impact of the pandemic and subsequent policy measures. The results showed that the pandemic and policy measures inhibited the mobility of residents, had a significant impact on working patterns, and changed the composition structure of the purpose of residents’ travel behavior, which substantially impacted the spatiotemporal distribution characteristics of urban traffic accident hotspots. The quantity of traffic accidents decreased significantly, and the spatial distribution characteristics of urban traffic accident hotspots changed substantially, with accident hotspots changing from the single-center spatial distribution before the pandemic to the multi-center spatial distribution during the pandemic; urban accident-prone areas changed from being mainly distributed in the central business district before the pandemic to being more widely distributed in public service areas during the pandemic. The results of this study may be helpful to better understand the spatiotemporal distribution characteristics of urban traffic accident hotspots and their intrinsic mechanism.

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Section: Discussionmentioning

confidence: 99%

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Zhang,

Ci,

Huang

et al. 2024

Sustainability

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show abstract

“…Due to the unavailability of such records, the effects of driving and environmental factors in crash occurrences cannot be brought to light. Furthermore, animal-vehicle collision is an important factor to be considered both for Bangladesh and other countries of the world [64,65]. In future research, the impact of containment strategies on animal-vehicle collisions can be addressed.…”

Section: Limitationmentioning

confidence: 99%

Impacts of COVID-19 Pandemic Lockdown on Road Safety in Bangladesh

et al. 2023

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The purpose of this research is to demonstrate the trends of crashes, injuries, and fatalities under the effect of the lockdown and observe the deviation of these trends from the anticipated values that would have been seen without the impact of the lockdown. To that end, data on road collisions, injuries, and fatalities in Bangladesh were compiled over four years (from January 2016 to May 2020) using the dataset from the Accident Research Institute (ARI). The pre-pandemic and lockdown period during the pandemic were included in the selected study period. To compare the observed values of the number of crashes, injuries, and fatalities to the forecasted values, which were meant to show assumed conditions without the emergence of the COVID-19 pandemic, different Autoregressive Integrated Moving Average (ARIMA) time series models were developed for each first-level administrative divisions (Dhaka, Chattogram, Khulna, Barishal, Rajshahi, Sylhet, Rangpur, and Mymensingh). Due to the mobility restrictions, the observed number of collisions, injuries, and deaths remained below the expected values, with a discernible high difference throughout the entire lockdown in Dhaka and Chattogram. In contrast, in the case of other divisions (Khulna, Barishal, Rajshahi, Sylhet, Rangpur, and Mymensingh), it remained under the expected trend for most of the lockdown period but not entirely. The mobility was not eliminated, resulting in a non-zero crash, injury, and fatality records across all divisions. In multiple instances, we observed that actual collision, injury, and fatality rates were higher than expected. Additionally, various divisions exhibited varying patterns of crashes, injuries, and fatalities during stay-at-home orders. Poor performance has been noted in terms of overall road safety during the pandemic era. Given the possibility of future waves of COVID-19 cases and other pandemics, the results of the current study can be used by local authorities and policymakers to improve road safety.

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“…Temporal and spatiotemporal analyses of the roadkill were carried out in many counties around the globe [1][2][3], in European countries [4][5][6][7], including those close to Lithuania [8][9][10][11]. Roadkill recording by citizen scientists was used as a part of worldwide projects on roadkill data collection [12], and these projects were successful in several countries [13,14].…”

Section: Introductionmentioning

confidence: 99%

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

Balčiauskas,

Kučas,

Balčiauskienė

2024

Diversity

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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.

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Spatiotemporal Analysis of Road Crashes with Animals in Poland

Cited by 16 publications

References 66 publications

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

The Effect of the COVID-19 Pandemic on the Distribution of Traffic Accident Hotspots in New York City

Impacts of COVID-19 Pandemic Lockdown on Road Safety in Bangladesh

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

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