Delivery riders (usually e-bike riders employed in the delivery industry), an emerging occupation as a result of the booming of online commerce in China, have attracted social controversies for the prevalence of unsafe riding and high rates of crash involvement. Given their ever-increasing number and stressful working conditions, more attention should be paid to safety issues involving delivery riders. To illuminate the role of working conditions in influencing safety-related risks of delivery riders, this cross-sectional study was conducted among 824 delivery riders, who answered a self-administered questionnaire gathering information about their demographics, working conditions, riding behaviors, and crash involvement. A mixed probit model of the number of crashes involving riders that allowed for hierarchical relationships between the latent variables identified (i.e., time pressure, fatigue, risky riding behaviors) was employed to determine the underlying association between factors surveyed. The results portrayed a picture of worrisome working conditions for delivery riders. Respondents reported an average of 9.1 daily working hours with insufficient rest. Frequent stair climbing, route planning, and disputes with customers also added to their physical and mental workload. The tested model indicated that a heavy workload, feelings of fatigue, as well as risk-taking behaviors all exerted direct and significant impacts on the involvement in crashes, and time pressure as well as several work-related traits affected crash involvement indirectly, through influencing riders’ feeling of fatigue and riding behaviors. Findings of this study may provide an empirical basis for road safety interventions for delivery riders in China.
YangJ.HuY.DuW.PowlsB.OzannesmithJ.LiaoY.Unsafe Riding Practice among Electric Bikers in Suzhou, China: An Observational Study. BMJ Open, Vol. 4, No. 1, 2013, p. e003902. http://doi.org/10.1136/bmjopen-2013-003902.
4.
ZhaoL.WangM.Social Adaptation of Urban Young Migrant-Workers in New Occupations—A Case Study of Delivery Riders in Beijing. Journal of Chinese Youth Social Science, Vol. 36, 2017, pp. 50–57 (in Chinese).
5.
WangY.LiL.PratoC. G.The Relation between Working Conditions, Aberrant Driving Behavior and Crash Propensity among Taxi Drivers in China. Accident Analysis & Prevention, 2018. https://doi.org/10.1016/j.aap.2018.03.028.
6.
GohK.CurrieG.SarviM.LoganD.Factors Affecting the Probability of Bus Driver Being At-Fault in Bus-Involved Accidents. Accident Analysis & Prevention, Vol. 66, 2014, pp. 20–26.
7.
LiY.ItohK.Factors Contributing to Driving Safety in the Trucking Industry. IIE Transactions on Occupational Ergonomics and Human Factors, Vol. 1, 2013, pp. 246–257.
8.
LaQ. N.LeeA. H.MeulenersL. B.DuongD. V.Prevalence and Factors Associated with Road Traffic Crash among Taxi Drivers in Hanoi, Vietnam. Accident Analysis & Prevention, Vol. 50, 2013, pp. 451–455.
9.
RodriguezD. A.RochaM.KhattakA. J.BelzerM. H.Effects of Truck Driver Wages and Working Conditions on Highway Safety: Case study. Transportation Research Record: Journal of the Transportation Research Board, 2003. 1833: 95–102.
10.
RowlandB.DaveyJ.FreemanJ.WishartD.The Influence of Driver Pressure on Road Safety Attitudes and Behaviors: A Profile of Taxi Drivers. Presented at Proceedings of CMRSC-XVIII, Whilstler, Canada, 2008.
11.
PhillipsR. O.MeyerS. F.Kartlegging av arbeidsrelaterte trafikkulykker. Analyse av dødsulykker i Norge fra 2005 til 2010 [Fatal Road Accidents Involving People at Work. An Analysis of Norwegian In-Depth Reports from 2005 to 2010]. TØI Report 1188/2012. Transportøkonomisk institutt, Oslo, 2012.
12.
RastegaryH.LandyF. J.The Interactions among Time Urgency, Uncertainty, and Time Pressure. In Time Pressure and Stress in Human Judgement and Decision Making (SvensonO.MauleA. J., eds.), Plenum Press, New York, 1993, pp. 217–240.
13.
NaevestadT.PhillipsR. O.ElvebakkB.Traffic Accidents Triggered by Drivers at Work – A Survey and Analysis of Contributing Factors. Transportation Part F: Traffic Psychology and Behavior, Vol. 34, 2015, pp. 94–107.
14.
CoeugnetS.NaveteurJ.AntoineP.AnceauxF.Time Pressure and Driving: Work, Emotions and Risks. Transportation Part F: Traffic Psychology and Behavior, Vol. 20, 2013, pp. 39–51.
15.
HäkkänenH.SummalaH.Fatal Traffic Accidents among Trailer Truck Drivers and Accident Causes as Viewed by Other Truck Drivers. Accident Analysis & Prevention, Vol. 33, 2001, pp. 187–196.
16.
GreinerB. A.KrauseN.RaglandD. R.FisherJ. M.Objective Stress Factors, Accidents, and Absenteeism in Transit Operators: A Theoretical Framework and Empirical Evidence. Journal of Occupational Health Psychology, Vol. 3, 1998, pp. 130–146.
17.
China Road Traffic Accidents Statistics Report. Traffic Administration Bureau, China State Security Ministry, Beijing, 2004.
18.
ElliottM.BaughanC.SextonB.Errors and Violations in Relation to Motorcyclists’ Crash Risk. Accident Analysis & Prevention, Vol. 39, 2007, pp. 491–499.
19.
Yao.L.WuC.Traffic Safety for Electric Bike Riders in China: Attitudes, Risk Perception, and Aberrant Riding Behavior. Transportation Research Record: Journal of the Transportation Research Board, 2012. 2314: 49–56.
20.
BaiL.LiuP.GuoY.YuH.Comparative Analysis of Risky Behaviors of Electric Bicycles at Signalized Intersections. Traffic Injury Prevention, Vol. 16, 2015, pp. 424–428.
21.
TabachnickB. G.FidellL. S.Using Multivariate Statistics, 5th ed.Allyn and Bacon, New York, 2007.
22.
O’DonnelC. J.ConnorD. H.Predicting the Severity of Motor Vehicle Accident Injuries Using Models of Ordered Multiple Choice. Accident Analysis and Prevention, Vol. 28, 1996, pp. 739–753.
23.
RenskiH.KhattakA. J.CouncilF. M.Impact of Speed Limit Increases on Crash Severity: Analysis of Single-Vehicle Crashes on North Carolina Interstate Highways. Transportation Research Record: Journal of the Transportation Research Board, 1999.1665: 100–108.
24.
RifaatS. M.ChinH. C.Accident Severity Analysis Using Ordered Probit Model. Journal of Advanced Transportation, Vol. 41, 2010, pp. 99–104.
25.
PaulssenM.TemmeD.VijA.WalkerJ. L.Values, Attitudes and Travel Behavior: A Hierarchical Latent Variable Mixed Logit Model of Travel Mode Choice. Transportation, Vol. 41, 2014, pp. 873–888.
26.
DiasF. F.LavieriP. S.GarikapatiV. M.AstrozaS.PendyalaR. M.BhatC. R.A Behavioral Choice Model of the Use of Car-Sharing and Ride-Sourcing Services. Transportation, Vol. 44, 2017, pp. 1–17.
27.
BielaireM.PythonBiogeme: A Short Introduction. Report TRANSP-OR 160706, Series on Biogeme. Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland. https://infoscience.epfl.ch/record/221362. Accessed July 2018.
28.
HessS.TrainK. E.PolakJ. W.On the Use of a Modified Latin Hypercube Sampling (MLHS) Method in the Estimation of a Mixed Logit Model for Vehicle Choice. Transportation Part B: Methodology, Vol. 40, 2006, pp. 147–163.
29.
European Foundation for the Improvement of Living and Working Conditions –Eurofound–. Sixth European Working Conditions Survey – Overview Report. Publications Office of the European Union, Luxembourg, 2016.
30.
SonnentagS.BayerU. V.Switching Off Mentally: Predictors and Consequences of Psychological Detachment from Work during Off-Job Time. Journal of Occupational Health Psychology, Vol. 4, 2005, pp. 393–414.
31.
ShiJ.LiX.XiaoY.AtchleyP.A Survey of Taxi Drivers’ Aberrant Driving Behavior in Beijing; Factors Contributing to Driving Safety in the Trucking Industry. Journal of Transportation Safety & Security, Vol. 6, 2014, pp. 34–43.
32.
NaveteurJ.CoeugnetS.CharronC.DornL.AnceauxF.Impatience and Time Pressure: Subjective Reactions of Drivers in Situations Forcing Them to Stop Their Car in the Road. Transportation Part F: Traffic Psychology and Behavior, Vol. 18, 2013, pp. 58–71.
33.
TseJ. L. M.FlinR.MearnsK.Bus Driver Well-Being Review: 50 Years of Research. Transportation Part F: Traffic Psychology and Behavior, Vol. 9, 2006, pp. 89–114.
34.
LudwigT. D.GellerE. S.Improving the Driving Practices of Pizza Deliverers: Responses Generalization and Moderating Effects of Driving History. Journal of Applied Behavior Analysis, Vol. 24, 1991, pp. 31–44.
35.
UsecheS. A.OrtizV. G.CendalesB. E.Stress-Related Psychosocial Factors at Work, Fatigue, and Risky Driving Behavior in Bus Rapid Transport (BRT) Drivers. Accident Analysis & Prevention, Vol. 104, 2017, pp. 106–114.
36.
SalminenS.LähdeniemiE.Risk Factors in Work-Related Traffic. Transportation Part F: Traffic Psychology and Behavior, Vol. 5, 2002, pp. 77–86.
37.
ZhaoY.ZhangJ.HeX.Risk Factors Contributing to Taxi Involved Crashes: A Case Study in Xi’an, China. Periodica Polytechnica Transportation Engineering, Vol. 43, 2015, pp. 189–198.
38.
MalliaL.LazurasL.ViolaniC.LucidiF.Crash Risk and Aberrant Driving Behaviors among Bus Drivers: The Role of Personality and Attitudes towards Traffic Safety. Accident Analysis & Prevention, Vol. 79, 2015, pp. 145–151.
39.
FortE.NdagireS.GadegbekuB.HoursM.CharbotelB.Working Conditions and Occupational Risk Exposure in Employees Driving for Work. Accident Analysis & Prevention, Vol. 89, 2016, pp. 118–127.
40.
RahmaniA.KhodaeiR.FarjamiA.MahmodkhaniA.GharagozlouF.AhmadnezhadI.KarchaniM.VataniJ.Determination of Job Stresses and Their Consequences in Drivers in Ilam. Electronic Physician, Vol. 5, 2013, pp. 594–598.
41.
ChangL.Y.ManneringF.Analysis of Injury Severity and Vehicle Occupancy in Truck- and Non-Truck-Involved Accidents. Accident Analysis and Prevention, Vol. 31, 1999, pp. 579–592.
42.
LajunenT.SummalaH.Can We Trust Self-Reports of Driving? Effects of Impression Management on Driver Behaviour Questionnaire Responses. Transport Research Part F: Traffic Psychology and Behavior, Vol. 6, 2003, pp. 97–107.
