Research Article

Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

Table 1

Summary of items and internal consistency.

VariableNo.ItemReferencePCA (%)Cronbach’s

AttitudeAT1For me, running against a red light in this situation would be …Bad to goodAjzen [43]; Elliott et al. [47]72.50.873
AT2Foolish to wise
AT3Dangerous to safe
AT4Unnecessary to necessary

Subjective normSN1People who are important to me disapprove of my red-light running in this situation. (Strongly disagree to strongly agree)Demir et al. [21]; Ajzen [43]73.70.821
SN2People who are important to me bother with my red-light running in this situation. (Strongly disagree to strongly agree)
SN3People who are important to me tolerate my red-light running in this situation. (Strongly disagree to strongly agree)

Perceived behavioral controlPBC1I believe that I have the ability to run against a red light in this situation. (Strongly disagree to strongly agree)Evans and Norman [39]80.80.881
PBC2For me, it is easy to run against a red light in this situation. (Strongly disagree to strongly agree)
PBC3I have control over whether to violate a red light in this situation. (Strongly disagree to strongly agree)

Past behaviorPB1How often have you committed the red-light running as an e-biker during the last 12 months? (Never to frequently)Forward [29]; Potard et al. [45]87.40.928
PB2How often have you ridden faster than the legal speed limit during the last 12 months? (Never to frequently)
PB3How often have you committed the violating crossing as a pedestrian during the last 12 months? (Never to frequently)

Prototype perceptionsPS1Prototype similarityHow similar/different are you to/from the person your age and gender that regularly violates a red light? (Very different to very similar)Elliott et al. [47]87.70.930
PS2I am comparable to the typical person my age and gender that regularly violates a red light. (Strongly disagree to strongly agree)
PS3Do you resemble the typical person your age and gender that regularly violates a red light? (Definitely no to definitely yes)
PF1Prototype favorabilityHow do you think about the typical person your age and gender who regularly violate a red light?DynamicElliott et al. [47]89.40.940
PF2Cool
PF3Childish

RLR intentionRI1In such a situation, how likely is it that you will run against a red light? (Extremely unlikely to extremely likely)Zhou et al. [40]; Ajzen [43]82.20.928
RI2In a similar situation in the future, do you intend to run against a red light? (Definitely do not to definitely do)
RI3In a similar situation in the future, what is the degree that you will avoid running against a red light? (Very weak to very strong)
RI4In a similar situation in the future, how likely or unlikely is it that you will run against a red light? (Extremely unlikely to extremely likely)

RLR willingnessRW1You will wait for the green light to cross in this situation. (Not at all willing to very willing)Elliott et al. [47]; Gibbons et al. [49]86.20.920
RW2You will run against a red light when there is a gap in traffic flow. (Not at all willing to very willing)
RW3If other e-bikers around you are running against a red light, what is the degree that you will also run against a red light? (Very weak to very strong)

RLR behaviorRB1I have committed the red-light running in the last month. (Strongly disagree to strongly agree)Elliott et al. [47]82.30.892
RB2How many times have you committed the red-light running over the last month? (None to lots of times)
RB3Overall, how often have you committed the red-light running over the last month? (Never to frequently)

Note. Measuring scale is reverse.