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

Table 5

Ordinal Logistic Regression Model for the perception about changing the existing interfaces.

Change the existing interfaces	Coefficient	Standard error	Z-Value
Exp	−18.4540	2.501872	−8.22	0.001
Sex	140.753	17.5606	8.42	0.001
Age	−189.627	23.15696	−8.41	0.001
Qualification	350.8052	41.60189	8.24	0.001
Driving-mode	49.33828	6.043952	8.51	0.001
Traveling mode	439.1332	54.95374	8.08	0.001
Purpose of travel	−149.5421	18.40198	−8.45	0.001
Valid license	−529.6207	62.55927	−8.55	0.001
SN1Txt	−29.5140	6.452717	−5.52	0.001
SN2Txt	−59.1540	7.291356	−8.68	0.001
SN3Txt	−321.28643965	37.88391	−8.38	0.001
SN4Txt	171.4605	20.69075	8.04	0.001
SN5Txt	−481.4669	56.75089	−8.40	0.001
SN6Txt	409.5528	49.32636	8.33	0.001
SN7Txt	79.18007	10.35985	7.83	0.001
SN8PCall	−281.5654	34.61485	−7.99	0.001
SN9PCall	211.8213	25.08761	8.33	0.001
SN10PCall	274.8012	33.12115	8.30	0.001
SN11PCall	−295.5953	35.57816	−8.31	0.001
SN1Mail	−802.6423	96.33161	−8.33	0.001
SN2Mail	−72.61328	8.316154	−8.73	0.001
SN3Mail	761.8761	90.95409	8.38	0.001
SN4Mail	−64.51524	12.22568	−5.28	0.001
SN5Mail	222.3784	26.50356	8.39	0.001
SN6Mail	173.682	21.2409	8.18	0.001
Visual interface-1	−620.495	74.42446	−8.34	0.001
Visual interface-2	607.7279	71.93654	8.45	0.001
Visual interface-3	239.8945	29.78239	8.05	0.001
Visual interface-4	−83.16526	10.5197	−7.91	0.001
Visual interface-5	248.1227	31.36583	7.91	0.001
Visual interface-6	−156.7105	19.25008	−8.14	0.001
Visual interface-7	180.2639	21.36577	8.44	0.001
/cut1	1527.27	188.7543
/cut2	1531.154	189.2725
/cut3	2242.325	274.1231
No of observations = 59
Wald chi^2(32) = 235.44
Pseudo R^2 = 0.9149
Log pseudolikelihood = -4.8564726