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Sleep-related vehicle crashes on low speed roads
BACKGROUND. Very little is known about the characteristics of sleep related (SR) crashes occurring on low speed roads compared with current understanding of the role of sleep in crashes occurring on high speed roads e.g. motorways. To address this gap, analyses were undertaken to identify the differ...
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2016
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| Online Access: | https://hdl.handle.net/2134/23595 |
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| _version_ | 1818171520739966976 |
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| author | Ashleigh Filtness Kerry A. Armstrong Angela Watson Simon S. Smith |
| author_facet | Ashleigh Filtness Kerry A. Armstrong Angela Watson Simon S. Smith |
| author_sort | Ashleigh Filtness (1384968) |
| collection | Figshare |
| description | BACKGROUND. Very little is known about the characteristics of sleep related (SR) crashes occurring on low speed roads compared with current understanding of the role of sleep in crashes occurring on high speed roads e.g. motorways. To address this gap, analyses were undertaken to identify the differences and similarities between (1) SR crashes occurring on roads with low (≤60 km/h) and high (≥100 km/h) speed limits, and (2) SR crashes and not-SR crashes occurring on roads with low speed limits. METHOD. Police reports of all crashes occurring on low and high speed roads over a ten year period between 2000 and 2009 were examined for Queensland, Australia. Attending police officers identified all crash attributes, including ‘fatigue/fell asleep’, which indicates that the police believe the crash to have a causal factor relating to falling asleep, sleepiness due to sleep loss, time of day, or fatigue. Driver or rider involvement in crashes was classified as SR or not-SR. All crash-associated variables were compared using Chi-square tests (Cramer’s V = effect size). A series of logistic regression was performed, with driver and crash characteristics as predictors of crash category. A conservative alpha level of 0.001 determined statistical significance. RESULTS. There were 440,855 drivers or riders involved in a crash during this time; 6923 (1.6%) were attributed as SR. SR crashes on low speed roads have similar characteristics to those on high speed roads with young (16–24y) males consistently over represented. SR crashes on low speed roads are noticeably different to not-SR crashes in the same speed zone in that male and young novice drivers are over represented and outcomes are more severe. Of all the SR crashes identified, 41% occurred on low speed roads. CONCLUSION. SR crashes are not confined to high speed roads. Low speed SR crashes warrant specific investigation because they occur in densely populated areas, exposing a greater number of people to risk and have more severe outcomes than not-SR crashes on the same low speed roads. |
| format | Default Article |
| id | rr-article-9346709 |
| institution | Loughborough University |
| publishDate | 2016 |
| record_format | Figshare |
| spelling | rr-article-93467092016-12-10T00:00:00Z Sleep-related vehicle crashes on low speed roads Ashleigh Filtness (1384968) Kerry A. Armstrong (7152686) Angela Watson (2634784) Simon S. Smith (7152689) Design not elsewhere classified Driver sleepiness Driver drowsiness Driver fatigue Road crash Police data Design Practice and Management not elsewhere classified BACKGROUND. Very little is known about the characteristics of sleep related (SR) crashes occurring on low speed roads compared with current understanding of the role of sleep in crashes occurring on high speed roads e.g. motorways. To address this gap, analyses were undertaken to identify the differences and similarities between (1) SR crashes occurring on roads with low (≤60 km/h) and high (≥100 km/h) speed limits, and (2) SR crashes and not-SR crashes occurring on roads with low speed limits. METHOD. Police reports of all crashes occurring on low and high speed roads over a ten year period between 2000 and 2009 were examined for Queensland, Australia. Attending police officers identified all crash attributes, including ‘fatigue/fell asleep’, which indicates that the police believe the crash to have a causal factor relating to falling asleep, sleepiness due to sleep loss, time of day, or fatigue. Driver or rider involvement in crashes was classified as SR or not-SR. All crash-associated variables were compared using Chi-square tests (Cramer’s V = effect size). A series of logistic regression was performed, with driver and crash characteristics as predictors of crash category. A conservative alpha level of 0.001 determined statistical significance. RESULTS. There were 440,855 drivers or riders involved in a crash during this time; 6923 (1.6%) were attributed as SR. SR crashes on low speed roads have similar characteristics to those on high speed roads with young (16–24y) males consistently over represented. SR crashes on low speed roads are noticeably different to not-SR crashes in the same speed zone in that male and young novice drivers are over represented and outcomes are more severe. Of all the SR crashes identified, 41% occurred on low speed roads. CONCLUSION. SR crashes are not confined to high speed roads. Low speed SR crashes warrant specific investigation because they occur in densely populated areas, exposing a greater number of people to risk and have more severe outcomes than not-SR crashes on the same low speed roads. 2016-12-10T00:00:00Z Text Journal contribution 2134/23595 https://figshare.com/articles/journal_contribution/Sleep-related_vehicle_crashes_on_low_speed_roads/9346709 CC BY-NC-ND 4.0 |
| spellingShingle | Design not elsewhere classified Driver sleepiness Driver drowsiness Driver fatigue Road crash Police data Design Practice and Management not elsewhere classified Ashleigh Filtness Kerry A. Armstrong Angela Watson Simon S. Smith Sleep-related vehicle crashes on low speed roads |
| title | Sleep-related vehicle crashes on low speed roads |
| title_full | Sleep-related vehicle crashes on low speed roads |
| title_fullStr | Sleep-related vehicle crashes on low speed roads |
| title_full_unstemmed | Sleep-related vehicle crashes on low speed roads |
| title_short | Sleep-related vehicle crashes on low speed roads |
| title_sort | sleep-related vehicle crashes on low speed roads |
| topic | Design not elsewhere classified Driver sleepiness Driver drowsiness Driver fatigue Road crash Police data Design Practice and Management not elsewhere classified |
| url | https://hdl.handle.net/2134/23595 |