Analyzing Drivers’ Distractions due to Smartphone Usage: Evidence from AutoLog Dataset

Table 7

Ordinal Logistic Regression Model for the perception about prioritizing the activities.

Prioritizing the activities	Coefficient	Standard Error	Z-Value
Exp	−0.1707440	0.2771559	−1.02	0.309
Sex	4.718558	2.275798	2.55	0.011
Age	3.153012	3.05413	0.68	0.499
Qualification	2.512767	1.262127	1.29	0.198
Driving-mode	4.540853	1.918299	1.90	0.057
Traveling mode	5.018110	5.80873	1.06	0.291
Purpose of travel	0.04787	1.637832	2.54	0.011
Valid license	−26.44864	6.38875	−4.31	0.001
SN1Txt	−1.23716	3.183147	−0.74	0.461
SN2Txt	3.726827	1.077125	2.63	0.008
SN3Txt	−0.1621387	1.191217	−0.21	0.832
SN4Txt	5.560123	3.639498	2.11	0.035
SN5Txt	−2.977216	1.827565	−1.63	0.103
SN6Txt	−1.143575	1.831291	−0.62	0.532
SN7Txt	4.834982	1.776108	2.72	0.006
SN8PCall	−2.064167	1.490176	−1.39	0.166
SN9PCall	1.947548	1.866658	1.04	0.297
SN10PCall	3.446161	2.5194	1.37	0.171
SN11PCall	−.0341503	.8400654	−0.04	0.968
SN1Mail	−2.567933	1.660064	−1.55	0.122
SN2Mail	−0.7192782	1.000074	−0.72	0.472
SN3Mail	6.967619	2.517348	2.77	0.006
SN4Mail	−6.613736	2.012419	−3.29	0.001
SN5Mail	3.321731	1.112994	2.98	0.003
SN6Mail	6.209074	1.705888	3.64	0.001
Visual interface-1	−0.2021435	1.745629	−0.12	0.908
Visual interface-2	0.4624554	1.873938	0.25	0.805
Visual interface-3	−3.252232	0.8262406	−3.94	0.001
Visual interface-4	3.591892	1.214865	2.96	0.003
Visual interface-5	−4.300956	1.502282	−2.86	0.004
Visual interface-6	0.3914871	0.5097102	0.77	0.442
Visual interface-7	3.478623	1.882344	1.85	0.065
/cut1	71.77695
/cut2	87.23475
/cut3	100.2217
No of observations = 59
Wald chi^2 (32) = 62.16
Pseudo R^2 = 0.7205
Log pseudolikelihood = −20.036181