Table 4.

Random Parameter Logit Evacuation Ridesharing Model Results.

Name		Alternative Specific Attributes				Estimate	Robust t-test	p-value
		No Share	Driver Only	Passenger Only	Super Share
Alternatives
	ASCNoShare	×				−0.118	−0.27	0.79
	ASCDriverOnly		×			−3.71	−3.47	0.00
	ASCPassengerOnly			×		−3.09	−2.92	0.00
	ASCSuperShare				×	0.00
Random coefficient
	βTotalPreparedness	×	×			0.14	2.18	0.03
	αTotalPreparedness		×			−0.29	2.90	0.00
Parameters: Sociodemographics
	βBlack	×	×		×	0.95	1.81	0.07
	βHighIncome	×				0.90	3.31	0.00
	βHouseholdChildren			×	×	0.45	1.78	0.08
	βMillennial			×		3.01	2.42	0.02
	βRepublican			×	×	1.01	2.97	0.00
	βUnder25			×		0.64	1.95	0.05
Parameters: Circumstantial
	βCOVIDThreat			×	×	−0.358	−2.46	0.01
	βFear	×			×	−0.356	−1.69	0.09
	βLocalBorrowing			×	×	0.29	2.34	0.02
	βNeighborSharing			×	×	0.24	6.09	0.00
	βNetworkProximity				×	0.19	2.66	0.01
Interactions
	βBlack×Employed				×	0.71	1.83	0.07
	βBlack ×Female		×			1.74	2.98	0.00
	βMillennial × Fear			×		−0.527	−1.97	0.05
	βRepublican×Millennial				×	−1.08	−2.25	0.02
Type of draws						Hess-Train
Number of draws (normally distributed)						500
Number of observations						584
Rho-square						0.351
Log likelihood at convergence						−525.609