Skip to main content
SpringerLink
Log in

Factors Influencing Traffic Signal Violations and Related Severities by Car Drivers, Cyclists, and Pedestrians: A Case Study from Guangdong, China

  • Chapter
  • First Online:
Road Safety in China

  • 131 Accesses

Abstract

Traffic signal violation is an important factor in causing accidents involving vehicles and pedestrians. Thus, studying factors influencing traffic signal violations in China seem extremely urgent and important. Using data collected from Guangdong Province in China, this study applies the Logistic model to analyze risk factors influencing traffic signal violations for three different groups, car drivers, cyclists, and pedestrians. Results indicate that road types and lighting conditions have different effects on traffic signal violations for the three groups. In addition, different ages have different effects on traffic signal violations for car drivers and pedestrians. Finally, occupations have different effects on cyclists and pedestrians. Therefore, China might establish policies and promulgate regulations based on the different risk factors for the three groups.

Reprinted from Transportation Research Part F: Traffic Psychology and Behaviour, 42, Zhang, G., Tan, Y., and Jou, R., Factors influencing traffic signal violations and related severities by car drivers, cyclists, and pedestrians: A case study from Guangdong, China, 205–216, 2019, with permission from Elsevier.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Basford L, Reid S, Lester T, Thomson J, Tolmie A (2002) Drivers’ perceptions of cyclists. Department for Transport, p 42

    Google Scholar 

  • Bernhoft IM, Carstensen G (2008) Preference and behavior of pedestrians and cyclists by age and gender. Transp Res Part F 11:83–95

    Article  Google Scholar 

  • CRTASR (2004) China road traffic accidents statistics report. Traffic Administration Bureau of China State Security Ministry, Beijing, China

    Google Scholar 

  • CRTASR (2007) China road traffic accidents statistics report. Traffic Administration Bureau of China State Security Ministry, Beijing, China

    Google Scholar 

  • Deutsch D, Sameth S, Akinyemi J (1980) Seat belt usage and risk-taking behavior at two major traffic intersections. In: Proceedings of the twenty-fourth conference of the American association for automotive medicine, pp 415–421

    Google Scholar 

  • Díaz EM (2002) Theory of planned behavior and pedestrians’ intentions to violate traffic regulations. Transp Res Part F 5:169–175

    Article  Google Scholar 

  • Dommes A, Granié M-A, Cloutier M-S, Coquelet C, Huguenin-Richard F (2015) Red light violations by adult pedestrians and other safety-related behaviors at signalized crosswalks. Accid Anal Prev 80:67–75

    Article  Google Scholar 

  • Federal Highway Administration—FHWA (2005) Safety evaluation of redlight cameras. http://www.fhwa.dot.gov/publications/research/safety/05049/

  • Ganzeboom H, De Graaf P, Treiman D (1992) A standard international socio-economic index of occupational status. Soc Sci Res 21:1–56

    Article  Google Scholar 

  • Gueguen N, Pichot N (2001) The influence of status on pedestrians’ failure to observe a road-safety rule. J Soc Psychol 141:413–415

    Article  Google Scholar 

  • Hamed M (2001) Analysis of pedestrians’ behavior at pedestrian crossings. Saf Sci 38:63–82

    Article  Google Scholar 

  • Harper JS, Marine WM, Garret CJ, Lezotte D, Lowenstein SR (2000) Motor vehicle crash fatalities: a comparison of Hispanic and Non-Hispanic motorists in Colorado. Ann Emerg Med 36(6):589–596

    Article  Google Scholar 

  • Hatfield J, Murphy S (2007) The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections. Accid Anal Prev 39:197–205

    Article  Google Scholar 

  • Himanen V, Kulmala R (1988) An application of logit models in analyzing the behavior of pedestrians and car drivers on pedestrians crossings. Accid Anal Prev 2(3):187–197

    Article  Google Scholar 

  • Hirschi T, Gottfredson MR (1994) The generality of deviance. In: Hirschi T, Gottfredson M (eds) The generality of deviance. Transaction Publishing, New Brunswick, NJ, pp 1–22

    Google Scholar 

  • Jahangiri A et al (2016) Red-light running violation prediction using observational and simulator data. Accid Anal Prev. https://doi.org/10.1016/j.aap.2016.06.009

  • Johnson M, Charlton J, Oxley J, Newstead S (2013) Why do cyclists infringe at red lights? An investigation of Australian cyclists’reasons for red light infringement. Accid Anal Prev 50:840–847

    Article  Google Scholar 

  • Johnson M, Newstead S, Charlton J, Oxley J (2011) Riding through red lights: the rate, characteristics and risk factors of non-compliant urban commuter cyclists. Accid Anal Prev 43(1):323–328

    Article  Google Scholar 

  • Katz A, Zaidel D, Elgrishi A (1975) An experimental study of driver and pedestrian interaction during the crossing conflict. Human Factors 17(5):514–527

    Google Scholar 

  • Khan FM, Jawaid M, Chotani H, Luby S (1999) Pedestrian environment and behavior in Karachi, Pakistan. Accid Anal Prev 31:335–339

    Article  Google Scholar 

  • Kouabenan DR (1998) Beliefs and the perception of risks and accidents. Risk Anal 18:243–252

    Article  Google Scholar 

  • LaScala EA, Gerber D, Gruenwald PJ (2000) Demographic and environmental correlates of pedestrian injury collision: a spatial analysis. Accid Anal Prev 32:651–658

    Article  Google Scholar 

  • Mitman MF, Ragland RD, Zegeer VC (2008) The marked crosswalk dilemma: uncovering some missing links in a 35-year debate. UC Berkeley Traffic Safety Center. Retrieved from http://escholarship.org/uc/item/13r7q036

  • Nanguo City Newspaper (2008) E-bikes exceeds 20 km/h will be punished. http://hnrb.hinews.cn/html/2008-11/07/content_79662.htm

  • O’Brien S, Tay R, Watson B (2002) An exploration of Australian driving anger. In: Road safety research, policing and education conference, Adelaide, South Australia

    Google Scholar 

  • O’Connor JP, Brown TD (2007) Real cyclists don’t race: informal affiliations of the weekend warrior. Int Rev Sociol Sport 42(1):83–97

    Article  Google Scholar 

  • Pai CW, Jou RC (2014) Cyclists’ red-light running behaviours: an examination of risk-taking, opportunistic, and law-obeying behaviours. Accid Anal Prev 62:191–198

    Article  Google Scholar 

  • Pei J-H (2011) 80% accident involving e-bike riders is caused by red light running behavior. Business Daily. From http://www.evtimes.cn/html/news/z/z/2011/0729/316512.html

  • Porter BE (1999) A nationwide survey of red light running: measuring driving behaviors for the ‘‘Stop Red Light Running” program. Federal Highway Administration, U.S. Department of Transportation. Retrieved March 5, 2004, from the World Wide Web. http://afety.fhwa.dot.gov/fourthlevel/pdf/OldDomStdy.pdf

  • Porter BE, Berry TD (2001) A nationwide survey of self-reported red lightrunning: measuring prevalence, predictors, and perceived consequences. Accid Anal Prev 33(6):735–741

    Article  Google Scholar 

  • Porter BE, England Kelli J (2000) Predicting red-light running behavior: a traffic safety study in three urban settings. J Safety Res 3(1):1–8

    Article  Google Scholar 

  • Public Security of China First Blog (2006) Collective crossing behavior against red signal crosswalk. Law and Life 17:27

    Google Scholar 

  • Ragland RD, Mitman MF (2007) Driver/pedestrian understanding and behavior at marked and unmarked crosswalks. UC Berkeley Traffic Safety Center. Retrieved from http://escholarship.org/uc/item/1h52s226

  • Retting RA, Ulmer RG, Williams AF (1999) Prevalence and characteristics of red light running crashes in the United States. Accid Anal Prev 31(6):687–694

    Article  Google Scholar 

  • Retting RA, Williams AF (1996) Characteristics of red light violators: results of a field investigation. J Safety Res 27:9–15

    Article  Google Scholar 

  • Retting RA, Williams AF, Preusser DF, Weinstein HB (1995) Classifying urban crashes for countermeasure development. Accid Anal Prev 27:281–294

    Article  Google Scholar 

  • Richardson M, Caulfield B (2015) Investigating traffic light violations bycyclists in Dublin City Centre. Accid Anal Prev 84:65–73

    Article  Google Scholar 

  • Romano E, Tippetts S, Voas R (2005) Fatal red light crashes: the role of race and ethnicity. Accid Anal Prev 37:453–460

    Article  Google Scholar 

  • Rosenbloom T (2003) Sensation seeking and risk taking in mortality salience. Personal Individ Differ 35:1809–1819

    Article  Google Scholar 

  • Rosenbloom T (2006) Sensation seeking and pedestrian crossing compliance. Social Behav Personal 34(2):113–122

    Article  Google Scholar 

  • Rosenbloom T (2009) Crossing at a red light: behaviour of individuals and groups. Transp Res Part F 12:389–394

    Article  Google Scholar 

  • Rosenbloom T, Barkan H, Nemrodov D (2004) For heaven’s sake keep the rules: pedestrians’ behavior at intersections in ultra-orthodox and secular cities. Transp Res Part F 7:395–404

    Article  Google Scholar 

  • Santor DA, Messervey D, Kusumaka V (2000) Measuring peer pressure, popularity, and conformity in adolescent boys and girls: predicting school performance, sexual attitudes, and substance abuse. J Youth Adolesc 29(2):163–182

    Article  Google Scholar 

  • Spence LJ, Dykes EH, Bohn DJ, Wesson DE (1993) Fatal bicycle accidents in children: a plea for prevention. J Pediatr Surg 28(2):214–216

    Article  Google Scholar 

  • STATACorp (2014) Stata statistical software: release 14. College Station, TX: StataCorp. LP

    Google Scholar 

  • Tanaboriboon Y, Jing Q (1994) Chinese pedestrians and their walking characteristics: case study in Beijing. Transp Res Rec 1441:16–26

    Google Scholar 

  • Tiwari G, Bangdiwala T, Saraswat A, Gaurav S (2007) Survival analysis: pedestrian risk exposure at signalized intersections. Transp Res Part F 10(2):77–89

    Article  Google Scholar 

  • Tiwari G, Mohan D, Fazio J (1998) Conflict analysis for prediction of fatal crash location in mixed traffic stream. Accid Anal Prev 30(2):207–215

    Article  Google Scholar 

  • Varhelyi A (1998) Drivers’ speed behavior at a zebra crossing: a case study. Accid Anal Prev 30(6):731–743

    Article  Google Scholar 

  • Weinert JX, Ma C, Yang X, Cherry CR (2007) Electric two-wheelers in China: effect on travel behavior, mode Shift, and user safety perceptions in a medium sized city. Transp Res Rec: J Transp Board 2038:62–68

    Article  Google Scholar 

  • WHO (2002) http://www.who.int/topics/injuries_traffic/en/

  • Wu C, Liu Y, Zhang K (2012) The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study. Accid Anal Prev 49:186–192

    Article  Google Scholar 

  • Wu X, Huang Y (2006) Statistical investigation and analysis of crossing against ‘‘Stop man” at Huangzhuang Cross in Haidian District (in Beijing) (in Chinese). Stat Inf Forum 21(6):93–96

    Google Scholar 

  • Xinhua Net (2015) The ministry of public security traffic management bureau principal answered questions mainly on ‘‘Traffic Safety’s Day of China”. http://news.xinhuanet.com/legal/2015-12/01/c_128488527.htm

  • Xinhua News (2010) Electric bike ownership in China was over 120 million. http://www.bj.xinhuanet.com/bjpd_sdzx/201002/03/content18946567.htm. Retrieved February 2010

  • Yan F, Li B, Zhang W, Hu G (2015). Red-light running rates at five intersections by road user in Changsha, China an observational study. Accid Anal Prev. http://dx.doi.org/10.1016/j.aap.2015.06.006, pii: S0001-4575(15)00230-4

  • Yang J, Deng W, Wang J, Li Q, Wang Z (2006) Modeling pedestrians’ road crossing behavior in traffic system micro-simulation in China. Transp Res Part A 40:280–290

    Google Scholar 

  • Zhang G, Lu Z-B (2010) Establishment of friendly bicycle traffic evaluation index system. J Transp Eng Inf 1(8):114–119

    Google Scholar 

  • Zhang G, Yau KKW, Gong X (2014) Traffic violations in Guangdong Province of China: speeding and drunk driving. Accid Anal Prev 64:30–40

    Article  Google Scholar 

  • Zhang Y, Wu C (2013) The effects of sunshields on red light running behavior of cyclists and electric bike riders. Accid Anal Prev 52:210–218

    Article  Google Scholar 

  • Zhou Q, Lu H, Xu W (2007) Comparison and analysis of urban resident trip characteristics. J Central South Highw Eng 32(2):145–149 (in Chinese)

    Google Scholar 

  • Zhou R, Horrey W, Yu R (2009) The effect of conformity tendency on pedestrians’ road-crossing intentions in China: an application of the theory of planned behavior. Accid Anal Prev 41:491–497

    Article  Google Scholar 

  • Zhuang X, Wu C (2011) Pedestrians’ crossing behaviors and safety at unmarked roadway in China. Accid Anal Prev 43:1927–1936

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported in part by the National Natural Science Foundation of China Grant 71573286.

Author information

Authors and Affiliations

  1. Center for Studies of Hong Kong, Macao and Pearl River Delta, Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-sen University, Guangzhou, China

    Guangnan Zhang & Ying Tan

  2. College of Science and Technology, National Chi Nan University, Taiwan, China

    Rong-Chang Jou

Authors
  1. Guangnan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ying Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rong-Chang Jou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guangnan Zhang .

Editor information

Editors and Affiliations

  1. Center for Studies of Hong Kong, Macao and Pearl River Delta, Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-sen University, Guangzhou, China

    Guangnan Zhang

  2. Center for Studies of Hong Kong, Macao and Pearl River Delta, Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-sen University, Guangzhou, China

    Qiaoting Zhong

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zhang, G., Tan, Y., Jou, RC. (2021). Factors Influencing Traffic Signal Violations and Related Severities by Car Drivers, Cyclists, and Pedestrians: A Case Study from Guangdong, China. In: Zhang, G., Zhong, Q. (eds) Road Safety in China. Springer, Singapore. https://doi.org/10.1007/978-981-16-0701-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-0701-1_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0700-4

  • Online ISBN: 978-981-16-0701-1

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics

Search

Navigation