@proceedings {32698,
	title = {Personality effect on driving behavior},
	journal = {5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management, EM-GIS 2019},
	year = {2019},
	note = {Conference code: 162040Export Date: 9 November 2022Correspondence Address: Liu, Y.; Tsinghua UniversityChina; email: liuyi@tsinghua.edu.cnFunding details: National Natural Science Foundation of China, NSFC, 71673158,~71804083,~91324022,~91646101,~91646201Funding details: National Key Research and Development Program of China, NKRDPC, 2017YFC0803300,~2018YFC0809700Funding text~1:~This work is funded by National Key R\&amp;D Program of China (No. 2017YFC0803300, No.2018YFC0809700) and National Natural Science Foundation of China (No.71804083, No.91646101, No.71673158, No.91324022, No.91646201).References: Litman, T., Lessons from katrina and rita: What major disasters can teach transportation planners (2006) Journal of Transportation Engineering, 132 (1), pp. 11-18; Parsons, T., Ji, C., Kirby, E., Stress changes from the 2008 wenchuan earthquake and increased hazard in the sichuan basin (2008) Nature, 454 (7203), pp. 509-510; Horiguchi, T., Decline in intertidal biota after the 2011 great east japan earthquake and tsunami and the fukushima nuclear disaster: Field observations (2016) Scientific Reports, 6 (1), p. 20416; Abdelgawad, H., Abdulhai, B., Managing large-scale multimodal emergency evacuations (2010) Journal of Transportation Safety \&amp; Security, 2 (2), pp. 122-151; (2005) Network Traffic Management under Disaster Conditions, , T, Y.H, Northwestern University; Kim, I., Kim, T., Sohn, K., Identifying driver heterogeneity in car-following based on a random coefficient model (2013) Transportation Research Part C Emerging Technologies, 36 (11), pp. 35-44; Taylor, J., Method for investigating intradriver heterogeneity using vehicle trajectory data: A dynamic time warping approach (2015) Transportation Research Part B, 73, pp. 59-80; Wang, H., Using trajectory data to analyze intradriver heterogeneity in car-following (2011) Transportation Research Record Journal of the Transportation Research Board, 13 (2188), pp. 85-95; Yang, J., Effects of personality on risky driving behavior and accident involvement for chinese drivers (2013) Traffic Injury Prevention, 14 (6), pp. 565-571; Swider, B.W., Zimmerman, R.D., Born to burnout: A meta-Analytic path model of personality, job burnout, and work outcomes (2010) Journal of Vocational Behavior, 76 (3), pp. 487-506; MacHin, M.A., Sankey, K.S., Relationships between young drivers\&$\#$039; personality characteristics, risk perceptions, and driving behaviour (2008) Accident Analysis and Prevention, 40 (2), pp. 541-547; Xia, S., Zhang, L., Effects of altruism and burnout on driving behavior of bus drivers (2017) Accident Analysis \&amp; Prevention, 102, p. 110; Chiabaut, N., Leclercq, L., Buisson, C., From heterogeneous drivers to macroscopic patterns in congestion (2010) Transportation Research Part B Methodological, 44 (2), pp. 299-308; Jiaoyan, Y., Effects of personality on risky driving behavior and accident involvement for chinese drivers (2013) Traffic Injury Prevention, 14 (6), pp. 565-571; Jovanovic, D., The effects of personality traits on driving-related anger and aggressive behaviour in traffic among serbian drivers (2011) Transportation Research Part F Traffic Psychology \&amp; Behaviour, 14 (1), pp. 43-53; Alavi, S.S., The cognitive and psychological factors (personality, driving behavior, and mental illnesses) as predictors in traffic violations (2017) Iranian Journal of Psychiatry, 12 (2), pp. 78-86; Saucier, G., Mini-markers: A brief version of goldberg\&$\#$039;s unipolar big-five markers (1994) Journal of Personality Assessment, 63 (3), pp. 506-516; Hills, P., Argyle, M., Emotional stability as a major dimension of happiness (2001) Personality \&amp; Individual Differences, 31 (8), pp. 1357-1364},
	publisher = {Association for Computing Machinery},
	type = {Conference Paper},
	abstract = {Task type may have influence on driving behavior in disasters, while personality trait may have moderating effects on driving behavior in different task types, there are few studies focus on it. In this paper, the research method of laboratory experiment and questionnaires is used to investigate the impact of altruistic task and self-interest task on driving behavior. And the personality trait is taken as the moderating variable to research the moderating effect of personality trait on driving behavior in different task types. The results show that, (1) Compared with self-interest task, altruistic task has critically significant influence on average acceleration, which indicates driver will improve the driving performance in altruistic task. (2) Personality trait of emotional stability has a moderating effect in the influence mechanism of task type on driving behavior. The results of this paper may provide scientific support to traffic evacuation and emergency management in disasters. {\textcopyright} 2019 ACM.},
	keywords = {Automobile drivers, Civil defense, Disasters, driving behavior, Driving performance, Emergency management, Emergency traffic control, Emotional stabilities, Influence mechanism, Laboratory experiments, moderating effect, personality trait, Personality traits, research methods, Risk management, Surveys, task type},
	isbn = {9781450369657 (ISBN)},
	author = {L. Zhang and Q. Wang and Xing, H. and Li, E. and Y. Chen and Y. Liu}
}
