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Exploring the relationships between single-vehicle traffic accident and driver’s route familiarity on the mountainous highways

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Abstract

Route familiarity has been found greatly associated with driver behaviour and traffic safety. This study aimed to investigate relationships between mountainous highway single-vehicle traffic accident and route familiarity. Route familiarity is defined by the spatial distance between the accident occurring site and driver’s residence in this research. Logistic regression analysis was used to study the relationships. The investigation results show that the odds of finding familiar driver involved in mountainous highway single-vehicle traffic accident is higher: in accidents that occur in the evening and at night; in accidents that occur on the normal sections of the highways; in accidents that occurred when it is sunny; in accidents that the lighting condition is dark without road lights; in the accidents that occurred on the road with road width ≥ 9 m; on the highways that the speed limits are higher than 100 km/h; in the accidents that female drivers are involved. And the factors of evening, night, run-off-road, collision with the fixed object, tunnel, sharp turn, rainy, foggy, dark without light, road width < 7 m, young driver are associated with higher odds of having unfamiliar drivers involved. These research results can help alleviate mountainous highway single-vehicle traffic accidents and develop effective countermeasures and proper policies for mountainous highway traffic safety to some extent.

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References

  • Ahmed M, Huang H, Abdel-Aty M, Guevara B (2011) Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway. Accid Anal Prev 43:1581–1589

    Google Scholar 

  • Al-Ghamdi A (2002) Using logistic regression to estimate the influence of accident factors on accident severity. Accid Anal Prev 34(6):729–741

    Google Scholar 

  • Allen H, Beck K, Zanjani F (2019) Driving concerns among older adults: associations with driving skill, behaviors, and experiences. Traffic Inj Prev 20(1):45–51

    Google Scholar 

  • Assum T, Bjørnskau T, Fosser S, Sagberg F (1999) Risk compensation-the case of road lighting. Accid Anal Prev 31:545–553

    Google Scholar 

  • Caliendo C, Guida M, Parisi A (2007) A crash-prediction model for multilane roads. Accid Anal Prev 39(4):657–670

    Google Scholar 

  • Charlton SG, Starkey NJ (2013) Driving on familiar roads: automaticity and inattention blindness. Transp Res Part F Traffic Psychol Behav 19:121–133

    Google Scholar 

  • Chen F, Chen S (2011) Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways. Accid Anal Prev 43:1677–1688

    Google Scholar 

  • Chen F, Chen S, Ma X (2016) Crash frequency modeling using real-time environmental and traffic data and unbalanced panel data models. Int J Environ Res Public Health 13(6):609

    MathSciNet  Google Scholar 

  • Chen F, Chen S, Ma X (2018) Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data. J Saf Res 65:153–159

    Google Scholar 

  • Colonna P, Intini P, Berloco N, Ranieri V (2016) The influence of memory on driving behavior: how route familiarity is related to speed choice. Saf Sci 82:456–468

    Google Scholar 

  • DeJoy D (1989) The optimism bias and traffic accident risk perception. Accid Anal Prev 21(4):333–340

    Google Scholar 

  • Elvik R (2004) To what extent can theory account for the findings of road safety evaluation studies? Accid Anal Prev 36(5):841–849

    Google Scholar 

  • Geden M, Staicu AM, Feng J (2018) The impacts of perceptual load and driving duration on mind wandering in driving. Transp Res Part F Traffic Psychol Behav 57:75–83

    Google Scholar 

  • Hamed MM (2001) Analysis of pedestrians’ behavior at pedestrian crossings. Saf Sci 38(1):63–82

    Google Scholar 

  • He X, Liu W (2011) Applied regression analysis. Beijing

  • Herrin GD, Neuhardt JB (1974) An empirical model for automobile driver horizontal curve negotiation. Hum Factors 16(2):129–133

    Google Scholar 

  • Hosmer DW, Lemeshow S (1989) Applied logistic regression. Wiley, New York

    MATH  Google Scholar 

  • Intini P, Berloco N, Colonna P, Ranieri V, Ryeng E (2018) Exploring the relationships between drivers’ familiarity and two-lane rural road accidents. A multi-level study. Accid Anal Prev 111:280–296

    Google Scholar 

  • Intini P, Colonna P, Ryeng E (2019) Route familiarity in road safety: a literature review and an identification proposal. Transp Res Part F Traffic Psychol Behav 62:651–671

    Google Scholar 

  • Jalayer M, Zhou H (2016) Evaluating the safety risk of roadside features for rural two-lane roads using reliability analysis. Accid Anal Prev 93:101–112

    Google Scholar 

  • Jung S, Qin X, Noyce DA (2010) Rainfall effect on single-vehicle crash severities using polychotomous response models. Accid Anal Prev 42(1):213–224

    Google Scholar 

  • Kim K, Brunner IM, Yanashita E, Uyeno R (2012) Comparative assessment of visitor and resident crash risk in Hawaii. Transportation Research Board 91st Annual Meeting: 28–54

  • Kim JK, Ulfarsson GF, Kim S, Shankar VN (2013) Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender. Accid Anal Prev 50:1073–1081

    Google Scholar 

  • Li X, Li Z, Cao Z, Zhao X (2018) Modeling drivers’ memory repetitive stimuli in traffic scenes. Cogn Technol Work 20:389–399

    Google Scholar 

  • Liu C, Ye TJ (2011). Run-off-road crashes: an on-scene perspective (No. HS-811 500)

  • Mahalel D, Szternfeld Z (1986) Safety improvements and driver perception. Accid Anal Prev 18(1):37–42

    Google Scholar 

  • Mattos GA, Grzebieta RH, Bambach MR, McIntosh AS (2013) Head injuries to restrained occupants in single-vehicle pure rollover crashes. Traffic Inj Prev 14(4):360–368

    Google Scholar 

  • Meng X, Zhang X, Zheng L (2012) Prediction of rear-end collision on mountainous expressway based on geometric alignment and traffic conditions. China J Highw Transp 25(4):113–118

    Google Scholar 

  • Merat N, Jamson AH, Lai F, Carsten O (2012) Highly automated driving, secondary task performance, and driver state. Hum Factors 54(5):762–771

    Google Scholar 

  • Montella A, Andreassen D, Tarko AP et al (2013) Crash databases in Australasia, the European Union, and the United States: review and prospects for improvement. Transp Res Rec 2386:128–136

    Google Scholar 

  • Nagelkerke NJD (1991) A note on a general definition of the coefficient of determination. Biometrika 78(3):691–692

    MathSciNet  MATH  Google Scholar 

  • Payyanadan R, Sanchez F, Lee J (2019) Influence of familiarity on the driving behavior, route risk, and route choice of older drivers. IEEE Trans Hum Mach Syst 49(1):10–19

    Google Scholar 

  • Prestopnik J, Roskos-Ewoldsen B (2000) The relations among wayfinding strategy use, sense of direction, sex, familiarity, and wayfinding ability. J Environ Psychol 20(2):177–191

    Google Scholar 

  • Qiu S, Rachedi N, Sallak M, Vanderhaegen F (2017) A quantitative model for the risk evaluation of driver-ADAS systems under uncertainty. Reliab Eng Syst Saf 167:184–191

    Google Scholar 

  • Rankin CH, Abrams T, Barry RJ et al (2009) Habituation revisited: an updated and revised description of the behavioral characteristics of habituation. Neurobiol Learn Mem 92(2):135–138

    Google Scholar 

  • Renski H, Khattak A, Council F (1999) Impact of speed limit increases on crash injury severity: analysis of single-vehicle crashes on North Carolina interstate highways. Transp Res Rec 1665:100–108

    Google Scholar 

  • Rifaat SM, Chin HC (2005) Accident severity analysis using ordered probit models. J Adv Transp 41(1):91–114

    Google Scholar 

  • Rosenbloom T, Perlman A, Shahar A (2007) Women drivers’ behavior in well-known versus less familiar locations. J Saf Res 38:283–288

    Google Scholar 

  • Savolainen P, Mannering F, Lord D, Quddus M (2011) The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. Accid Anal Prev 43:1666–1676

    Google Scholar 

  • Shults RA, Bergen G, Smith TJ et al (2019) Characteristics of single vehicle crashes with a teen driver in South Carolina, 2005–2008. Accid Anal Prev 122:325–331

    Google Scholar 

  • Sze NN, Wong SC (2007) Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes. Accid Anal Prev 39:1267–1278

    Google Scholar 

  • Thurman QC (1986) Estimating social-psychological effects in decisions to drink and drive: a factorial survey approach. J Stud Alcohol 47(6):447–454

    MathSciNet  Google Scholar 

  • Ulfarsson G, Mannering F (2004) Differences in male and female injury severities in sport-utility vehicle minivan, pickup and passenger car accidents. Accid Anal Prev 36:135–147

    Google Scholar 

  • Vanderhaegen F (2012) Cooperation and learning to increase the autonomy of ADAS. Cogn Technol Work 14(1):61–69

    Google Scholar 

  • Vanderhaegen F (2013) A dissonance management model for risk analysis. In: 12th IFAC/IFIP/IFORS/IEA symposium on analysis, design, and evaluation of human-machine systems, 11–15 August 2013, Las Vegas, USA. pp 395–401

  • Vanderhaegen F (2014) Dissonance engineering: a new challenge to analyse risky knowledge when using a system. Int J Comput Commun Control 9(6):776–785

    Google Scholar 

  • Vanderhaegen F, Carsten O (2017) Can dissonance engineering improve risk analysis of human-machine systems? Cogn Technol Work 19(1):1–12

    Google Scholar 

  • Wang C, Quddus MA, Ison SG (2013) The effect of traffic and road characteristics on road safety: a review and future research direction. Saf Sci 57:264–275

    Google Scholar 

  • Wang C, Lu L, Lu J, Wang T (2016) Correlation between crash avoidance maneuvers and injury severity sustained by motorcyclists in single-vehicle crashes. Traffic Inj Prev 17(2):188–194

    Google Scholar 

  • Wang K, Zhang W, Liu J, Feng Z, Wang C, Hu Z, Huang W (2019) Exploring the factors affecting myopic drivers’ driving skills and risk perception in nighttime driving. Cogn Technol Work 21:275–285

    Google Scholar 

  • Wu Q, Zhang G, Zhu X, Liu XC, Tarefder R (2016) Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways. Accid Anal Prev 94:35–45

    Google Scholar 

  • Wu Y, Abdel-Aty M, Lee J (2018) Crash risk analysis during fog conditions using real-time traffic data. Accid Anal Prev 114:4–11

    Google Scholar 

  • Yanko M, Spalek T (2013) Route familiarity breeds inattention: a driving simulator study. Accid Anal Prev 57:80–86

    Google Scholar 

  • Yanko M, Spalek T (2014) Driving with the wandering mind: the effect that mind-wandering has on driving performance. Hum Factors 56(2):260–269

    Google Scholar 

  • Young MS, Stanton NA (2002) Malleable attentional resources theory: a new explanation for the effects of mental underload on performance. Hum Factors 44(3):365–375

    Google Scholar 

  • Yu R, Abdel-Aty M (2014) Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data. Saf Sci 63:50–56

    Google Scholar 

  • Yu R, Abdel-Aty M, Ahmed M (2013) Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors. Accid Anal Prev 50:371–376

    Google Scholar 

  • Yu B, Chen Y, Bao S, Xu D (2018) Quantifying drivers’ visual perception to analyze accident-prone locations on two-lane mountain highways. Accid Anal Prev 119:122–130

    Google Scholar 

  • Zhang S (2015) Research on residents’ travel characteristics and residential workplace location of metropolitan suburb. Dissertation, Nanjing Forestry University

  • Zhao S (2015) The traffic safety countermeasures research on the secondary road of mountain area in Yunnan Province. Dissertation, Chongqing Jiaotong University

  • Zhao Y, Zhang S, Ma Z (2018) Analysis of traffic severity on highway tunnels using the partial proportion odds model. China J Highw Transp 31(9):159–166

    Google Scholar 

  • Zhao X, Xu W, Ma J, Gao Y (2019) The “PNE” driving simulator-based training model founded on the theory of planned behavior. Cogn Technol Work 21:287–300

    Google Scholar 

  • Zhou M, Chin HC (2019) Factors affecting the injury severity of out-of-control single-vehicle crashes in Singapore. Accid Anal Prev 124:104–112

    Google Scholar 

Download references

Acknowledgments

This work was funded by National Natural Science Foundation of China (Grant No. 51578247). The author is very grateful to the authors of cited papers.

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  1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510000, Guangdong, China

    Huiying Wen & Gang Xue

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  1. Huiying Wen
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Correspondence to Gang Xue.

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Wen, H., Xue, G. Exploring the relationships between single-vehicle traffic accident and driver’s route familiarity on the mountainous highways. Cogn Tech Work 22, 815–824 (2020). https://doi.org/10.1007/s10111-019-00603-1

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