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Investigation and statistical analysis on the deterrence effect of police patrol

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study investigated the deterrence effect of the police patrol on the road safety in China and the research purpose was achieved by questionnaire survey and data regression. Firstly, a questionnaire survey was carried out to investigate the drivers’ illegal behaviours and attitudes to safety measures, such as police patrol, surveillance cameras and warning signs, and 137 drivers participated in the survey; the statistical results showed that 45.3%, 4.4% and 16.8% of the respondents had the experience of speeding, driving under influencing of alcohol and fatigued driving respectively; all of the participants believed that traffic police patrol would change their dangerous driving behaviours and police patrol is most effective among three road safety measures based on the investigations. Secondly, data about police patrol frequency and road crash rate on the road segment was collected from the local Transportation Administration Bureau and the regression analysis based on the data was conducted to investigate the direct effect of traffic police patrol on road safety improvement. The results indicated that increasing the frequency of police patrol has an obvious positive effect on improving the road safety and it is consistent with the results from self-reported questionnaire survey.
Rocznik
Strony
69--76
Opis fizyczny
Bibliogr. 23 poz., tab., wykr., wzory
Twórcy
autor
  • School of Engineering and Technology, Southwest University, No. 2 Tiansheng Road Beibei District, Chongqing 400715, P. R. China
autor
  • School of Urban Construction, Yangtze University, 1 Nanhuan Road Jingzhou Hubei, P. R. China
autor
  • School of Engineering and Technology, Southwest University, No. 2 Tiansheng Road Beibei District, Chongqing 400715, P. R. China
Bibliografia
  • Briscoe, S. (2004). Raising the bar: Can increased statutory penalties deter drink-drivers? Accident Analysis and Prevention, 36, 919-929.
  • Chang, L. Y., Lin, D. J., Huang, C. H., & Chang, K. K. (2013). Analysis of contributory factors for driving under the influence of alcohol: A stated choice approach. Transportation Research Part F: Traffic Psychology and Behaviour, 18,11-20.
  • Elvik, R. (2011). Developing an accident modification function for speed enforcement. Safety Science, 49, 920-925.
  • European Commission. (2007). Part C, best practices in road safety: Handbook for measures at the country level. Retrieved from http://ec.europa.eu/transport/roadsafetyjibrary/publications/supreme_c_handbook_for_measures_at_the_country_level.pdf
  • Grosvenor, D., Toomey, T. L., & Wagenaar, A. C. (1999). Deterrence and the adolescent drinking driver. Journal of Safety Research, 30(3), 187-191.
  • Hakkert, A. S., Gitelman, V., Cohen, A., Doveh, E., & Umansky, T. (2001). The evaluation of effects on driver behavior and accidents of concentrated general enforcement on interurban roads in Israel. Accident Analysis & Prevention, 33(1), 43-63.
  • Kuo, P. F., Lord, D., & Walden, T. D. (2013). Using geographical information systems to organize police patrol routes effectively by grouping hotspots of crash and crime data. Journal of Transport Geography, 30,138-148.
  • Lapham, S. C, & Todd, M. (2012). Do deterrence and social-control theories predict driving after drinking 15 years after a DWI conviction? Accident Analysis & Prevention, 45,142-151.
  • Li, Y., Xie, D., Nie, G., & Zhang, J. (2012). The drink driving situation in China. Traffic injury prevention, 13(2), 101-108.
  • Liu, G., Ding, L., & Wang, J. (2015). Thinking on strengthening the propaganda and education of traffic safety. Journal of People's Republic Security University of China (Science and Technology), 4, 50-54.
  • Lu, F., Zhang, J., & Perloff, J. M. (2016). General and specific information in deterring traffic violations: evidence from a randomized experiment. Journal of Economic Behavior & Organization, 123, 97-107.
  • National Bureau of Statistics of the PRC. (2013). China Statistical Yearbook of 2013. Retrieved from http://www.stats.gov.cn/tjsj/ndsj/2013/indexce.htm
  • National People's Congress of PRC. (2004). Law of the People's Republic of China on Road Traffic Safety. Beijing, China Law Press.
  • National People's Congress of PRC. (2011). Law of the People's Republic of China on Road Traffic Safety. Beijing, China Law Press.
  • Newstead, S. V., Cameron, M. H., & Leggett, L. M. W. (2001). The crash reduction effectiveness of a network-wide traffic police. Accident Analysis and Prevention, 33, 393-406.
  • Stanojevic, P., Jovanovic, D., & Lajunen, T. (2013). Influence of traffic enforcement on the attitudes and behavior of drivers. Accident Analysis & Prevention, 52, 29-38.
  • Suo, Q., Zhang, D., & Liu, Y. (2017). Assessment of the Chinese driver licensing system implemented from 1 Jan 2013 to 30 Sep 2016. Transportation Research Part A: Policy and Practice, 100, 81-87.
  • Taxman, F. S., & Piquero, A. (1998). On preventing drunk driving recidivism: An examination of rehabilitation and punishment approaches, Journal of Criminal Justice, 26(2), 129-143.
  • Vaa, T. (1997). Increased police enforcement: effects on speed. Accident Analysis & Prevention, 29(3), 373-385.
  • Wright, V. (2010). Deterrence in Criminal Justice. Retrieved from http://www.sentencingproject.org/wp-content/uploads/2016/01/Deterrence-in-Criminal-Justice.pdf
  • Yannis, G., Papadimitriou, E., & Antoniou, C. (2007). Multilevel modelling for the regional effect of enforcement on road accidents. Accident Analysis & Prevention, 39(4), 818-825.
  • Yannis, G., Papadimitriou, E., & Antoniou, C. (2008). Impact of enforcement on traffic accidents and fatalities: A multivariate multilevel analysis. Safety Science, 46(5), 738-750.
  • Zhang, W., Tsimhoni, O., Sivak, M., & Flannagan, M. J. (2010). Road safety in China: analysis of current challenges. Journal of safety research, 42(1), 25-30.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16472827-2c94-4625-af5c-226262e19eee
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