Unhelmeted Riding, Drunk Riding, and Unlicensed Riding among Motorcyclists: A Population Study in Taiwan during 2011-2016.

This study aimed to investigate the association between drunk riding, unhelmeted riding, unlicensed riding, and running-off-road (ROR) crashes. Multiple logistic regression was used to calculate the adjusted odds ratio (AOR) by using the National Taiwan Traffic Crash Dataset for 2011-2016. The results revealed that unhelmeted riding was associated with 138% (AOR = 2.38; CI (confidence interval) = 2.34-2.42) and 47% (AOR = 1.47; CI = 1.45-1.49) higher risks of drunk riding and unlicensed riding, respectively. The risk of unhelmeted riding increased with blood alcohol concentrations (BACs), and riders with the minimum BAC (0.031-0.05%) had nearly five times (AOR = 4.99; CI = 4.74-5.26) higher odds of unlicensed riding compared with those of riders with a negative BAC. Unhelmeted riding, drunk riding, and unlicensed riding were associated with 1.21 times (AOR = 1.21; CI = 1.13-1.30), 2.38 times (AOR = 2.38; CI = 2.20-2.57), and 1.13 times (AOR = 1.13; CI = 1.06-1.21) higher odds of ROR crashes, respectively. The three risky riding behaviours (i.e., unhelmeted riding, drunk riding, and unlicensed riding) were significantly related to ROR crashes. The risk of unhelmeted riding and ROR crashes increased with BACs.

[Biological characteristics, temporal-spatial distribution of Portunus trituberculatus and relationships between its density and impact factors in Laizhou Bay, Bohai Sea, China.] / èŽ±å·žæ¹¾ä¸‰ç–£æ¢­å­èŸ¹çš„ç”Ÿç‰©å­¦ç‰¹å¾ã€æ—¶ç©ºåˆ†å¸ƒåŠçŽ¯å¢ƒå› å­çš„å½±å“.

Biological characteristics, density and its spatial distribution of Portunus trituberculatus in Laizhou Bay, together with the impact of environmental factors, were analyzed based on the bottom trawl data of 9 surveys from May 2011 to April 2012, in order to provide scientific basis for utilizing and protecting the resource of P. trituberculatus. The monthly variation of biomass density could be described as September > October > July > August > June > November > March > May > April. The average values were highest in August 2011 and lowest in April 2012, for body mass, width and length, respectively. The individual fatness coefficient was highest in August 2011 both for the female (1.030) and the male (1.023), lowest in July both for the female (1.007) and the male (1.007). The difference of fatness coefficient was not significant (P>0.05) between the female and the male. The sex ratio (female/male) was less than 1.0 in most of all months except June, July and August. P. trituberculatus was mainly distributed in the Yellow River estuary and the offshore off Longkou in May-July, in offshore off Weifang and Longkou in August-September, and in deep-water area of the Laizhou Bay mouth from October to next April. Pearson correlation analysis indicated that environmental factors that best matched the density of P. trituberculatus were sea surface temperature (SST), dissolved oxygen (DO) and water depth (Dep), followed by salinity (Sal) and zooplankton density, the last were phytoplankton density and the number of other demersal fisheries species. The body length of P. trituberculatus in 2011 was significantly smaller (P<0.01) compared with that in 1981. To sustainably utilize the resource of P. trituberculatus in Laizhou Bay, we suggested that the fishing effort should be reduced, the catchable size should be raised, the research of enhancement basements should be promoted and more reasonable releasing quantity should be proposed.

[Impact of artificial reef on community of macrobenthos in Jincheng area of Laizhou Bay, China].

In order to evaluate the impact of artificial reef on the communities of macrobenthos, from 2009 to 2012, samples were collected in four seasons at the artificial reef area and the control area in Jincheng area of Laizhou Bay from 9 cruises. A total of 35 macrobenthos species (4 phyla, 30 families) were recorded in the two areas, with 30 species in the artificial reef area, and 27 species in the control area. Results suggested that the two macrobenthos communities with different species composition could be discriminated. One community was located in artificial reef area, the other outside the reef area. Planktophagous group was the most dissimilarity-contributing species. The species similarity (Jaccard) of the two areas increased from 37.5% in the first year to 58.6% in the second year. The biomass and abundance of macrobenthos in the artificial reef area respectively increased from 1.00 g · m(-2) and 540 ind · m(-2) in the first year to 1.55 g · m(-2) and 622 ind · m(-2) in the second year, which were both higher than those in the control area. Compared with the control area, the Shannon index and abundance index of the artificial reef area were increased, while the evenness index was decreased. The abundance biomass comparison (ABC) curve showed that the macrobenthos communities were more heavily disturbed in the second year than that in the first year after artificial reef set. It was considered that the macrobenthos community was unsteady at the early stage after artificial reef construction (1-2 years). The physical, chemical, biological and human activities were the main factors influencing macrobenthos community in Jincheng area of Laizhou Bay.