Table of Contents
| Category | Details |
|---|---|
| Description | The 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. |
| Acronym | None |
| Author | Qian, Qian; He, Junyi; Shi, Jing |
| Purpose | To assess aberrant riding behavior of food delivery riders. |
| Construct | Aberrant Riding Behavior; Food Delivery Riders; Safety Attitudes and Risk Perceptions |
| Instrument Type | Inventory/Questionnaire |
| Files | No file is available for download. |
| Test Year | 2024 |
| Format | Items are rated on 5-point Likert-type scales. |
| Administration Method | Electronic |
| Number of Items | 31 |
| Factors and Subscales | Scales: 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). |
| Reliability | Internal 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. |
| Validity | Convergent 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 Analysis | EFA 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 Group | Adulthood (18+); Young Adulthood (18-29 yrs); Thirties (30-39 yrs); Middle Age (40-64 yrs). |
| Population Group | Human; Male; Female. |
| Population Details | Respondents: Adults from China. |
| Keywords | Aberrant 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. |
| Reference | Qian, 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.
