Aberrant Riding Behavior of Food Delivery Riders – Model

Aberrant Riding Behavior of Food Delivery Riders – Model

CategoryDetails
DescriptionThe Aberrant Riding Behavior of Food Delivery Riders—Model (Qian, He, & Shi, 2024) measures the aberrant riding behavior of food delivery riders. The instrument explores the influence of safety knowledge on riding behaviors and examines the roles of safety attitudes and risk perceptions in this process. Items were adapted from previous studies (e.g., Wang et al., 2018; Nguyen-Phuoc et al., 2020; Jamil et al., 2021). Factor structure, reliability, and validity were evaluated in a sample of Chinese adults.
AcronymNone
AuthorQian, Qian; He, Junyi; Shi, Jing
PurposeTo assess aberrant riding behavior of food delivery riders.
ConstructAberrant Riding Behavior; Food Delivery Riders; Safety Attitudes and Risk Perceptions
Instrument TypeInventory/Questionnaire
FilesNo file is available for download.
Test Year2024
FormatItems are rated on 5-point Likert-type scales.
Administration MethodElectronic
Number of Items31
Factors and SubscalesScales: Safety knowledge (SA); Safety attitude (Safety attitudes toward responsibility (SA-r), Safety attitudes toward laws (SA-l)); Risk perception (General violations, Distraction and Mistakes, Aggressive riding).
ReliabilityInternal consistency: Cronbach’s α and CR values ranged from 0.706 to 0.944 and 0.836 to 0.934, respectively. Split-half reliability: Spearman-Brown coefficients were 0.804 and 0.821 for the SA-l and RP-p scales, respectively.
ValidityConvergent and Discriminant Validity: The AVE exceeded 0.5, indicating good convergent validity. Discriminant validity was confirmed via the Fornell-Larcker method, with diagonal values exceeding row and column correlations.
Factor AnalysisEFA and CFA results demonstrated validity. EFA showed total variance contribution exceeding 60%, with KMO values of 0.821 and 0.912. CFA fitness results included Chi-square/DF = 1.929, RMSEA = 0.064, CFI = 0.916, IFI = 0.917, and TLI = 0.904.
Age GroupAdulthood (18+); Young Adulthood (18-29 yrs); Thirties (30-39 yrs); Middle Age (40-64 yrs).
Population GroupHuman; Male; Female.
Population DetailsRespondents: Adults from China.
KeywordsAberrant Riding Behavior; Aggressive Riding; Distraction and Mistakes; Electronic Bikes; Food Delivery Bikes; General Violations; Risk Perception; Safety Attitudes toward Laws; Safety Attitudes toward Responsibility; Safety Knowledge.
ReferenceQian, Q., He, J., & Shi, J. (2024). Analysis of factors influencing aberrant riding behavior of food delivery riders: A perspective on safety attitude and risk perception. Transportation Research Part F: Traffic Psychology and Behaviour, 100, 273–288. https://doi.org/10.1016/j.trf.2023.12.007

Aberrant Riding Behavior of Food Delivery Riders – Model

This model assesses various factors related to aberrant riding behavior among food delivery riders, including safety knowledge, attitudes, risk perception, and self-reported behaviors.

I. Scale Components and Items

The model is composed of three main sections: Safety Knowledge (SK), Safety Attitudes and Risk Perception (RP), and Aberrant Riding Behaviors.

A. Safety Knowledge (SK)

This section assesses the rider’s understanding of safety-related information. Items are rated on a five-point Likert scale ranging from 1 (Totally Uninformed) to 5 (Very Well-Informed).

  • A1. Exposure to safety training or awareness education

  • A2. Understanding of e-bike traffic-related codes or laws

  • A3. Understanding of rider accident insurance

B. Safety Attitudes and Risk Perception (RP)

This section examines riders’ attitudes toward safety and their perception of risk. Items are rated on a five-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree).

  • A4. I will be responsible for the safety of others during the delivery process.

  • A5. I will do my best to prevent crashes during the delivery process.

  • A6. I will feel guilty if a crash occurs due to my own fault.

  • A7. I think every delivery rider should be responsible for his or her own behavior.

  • A8. If a crash occurs, it will seriously affect the family’s life. (Note: Items in this factor are reverse-scored in subsequent analysis)

  • A9. I think it is okay to violate traffic rules to pursue faster delivery while ensuring safety.

  • A10. Sometimes it is possible to violate traffic rules to ensure the goods are delivered on time.

  • RP-s G1. How risky do you think running a red light on an e-bike is?

  • RP-s G2. How risky do you think drunk-riding is?

  • RP-s G3. How risky do you think riding in the opposite direction because the vehicle in front of you is blocking the traffic is?

  • RP-s G4. How risky do you think pulling into a motor lane when the non-motor lane is congested is?

  • RP-s G5. How risky do you think traveling at a higher speed than the surrounding traffic is?

  • RP-p G6. Possibility of being injured in a crash in the next 12 months

  • RP-p G7. Possibility of being involved in a crash in the next 12 months.

C. Aberrant Riding Behaviors

This section assesses the frequency of specific unsafe riding behaviors. Items are rated on a five-point Likert scale with numbers 1-5 indicating Never, Rarely, Occasionally, Sometimes, and Always, respectively.

  • F1. Speeding (over 25 km/h)

  • F2. Running a red light

  • F3. Running a yellow light

  • F4. Riding in the opposite direction

  • F5. Occupying a motor lane

  • F6. Changing lanes at your own discretion

  • F7. Making/receiving phone calls

  • F8. Not using a turn signal when making a turn

  • F9. Turning too fast and making the e-bike difficult to control

  • F10. Inattention and almost colliding with pedestrians or objects

  • F11. Forcibly approaching or cutting through when the vehicle in front of you is turning right

  • F12. Not slowing down before an intersection

  • F13. Not slowing down to give way when entering or leaving a pedestrian area (e.g., a school or a bus stop)

  • F14. Scrambling when merging with other vehicles

  • F15. Checking delivery routes (using cell phones) during the delivery process

  • F16. Drinking or eating in the delivery process

  • F17. Not slowing down when passing vehicles

  • F18. Not slowing down on rainy roads

Note: The last four items (F15-F18) were excluded from the final measure.

II. References

This model draws upon existing research in traffic safety and rider behavior:

  • Wang et al., 2010;

  • Wang et al., 2021;

  • Nguyen-Phuoc et al., 2020;

  • Jamil et al., 2021;

  • Zhao et al., 2021;

  • Shi et al., 2010;

Cite this article

Mohammed looti (2026). Aberrant Riding Behavior of Food Delivery Riders – Model. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/aberrant-riding-behavior-of-food-delivery-riders-model/

Mohammed looti. "Aberrant Riding Behavior of Food Delivery Riders – Model." PSYCHOLOGICAL SCALES, 4 Apr. 2026, https://scales.arabpsychology.com/s/aberrant-riding-behavior-of-food-delivery-riders-model/.

Mohammed looti. "Aberrant Riding Behavior of Food Delivery Riders – Model." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/aberrant-riding-behavior-of-food-delivery-riders-model/.

Mohammed looti (2026) 'Aberrant Riding Behavior of Food Delivery Riders – Model', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/aberrant-riding-behavior-of-food-delivery-riders-model/.

[1] Mohammed looti, "Aberrant Riding Behavior of Food Delivery Riders – Model," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, April, 2026.

Mohammed looti. Aberrant Riding Behavior of Food Delivery Riders – Model. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.

Slide Up
x
PDF
Scroll to Top