Research Article

Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection

Table 4

Estimates of parameters in BLM and RPLM for e-bikers’ YLR behaviour.

VariablesBLMRPLM
MeanSEMeanSE

Intercept−1.3370.681−1.0410.699

Gender
Male vs. female−0.6720.028−0.6610.024
Std. dev. of parameter distribution0.4510.033

Age
Young vs. old−1.1740.876−0.8740.076
Std. dev. of parameter distribution0.8150.030
Middle-age vs. old0.3420.0570.2120.038
Std. dev. of parameter distribution0.6380.231

Vehicle type (VT)
Bicycle-style e-bike vs. scooter-style e-bike0.3320.0410.4460.124
Std. dev. of parameter distribution0.2650.066

Number of acceleration rate changes (NA)
Zero changes vs. one change−1.2670.650−1.3120.049
Std. dev. of parameter distribution1.5920.234
More than 2 changes vs. one change−0.720.102−0.6340.048
Std. dev. of parameter distribution0.9610.085
Approaching speed (AS)0.3910.0980.4270.086
Std. dev. of parameter distribution0.6880.026
Distance to the stop-line (DTS)−0.2560.058−0.3120.064
Std. dev. of parameter distribution0.2010.049

Statistically significant at α = 0.10. Statistically significant at α = 0.05. Statistically significant at α = 0.01.