Assessing the Impacts of Stay-in-Place Policy of COVID-19 Pandemic during the Chinese Spring Festival: A Stated Preference Approach

Table 5

Policy analysis based on the final model.

	Conventional railway (%)	High-speed railway (%)	Private car (%)	Stay in place (%)
Subsidy for staying in place	−0.17	−0.32	−0.18	0.67
Ticket fare for conventional railway	−0.93	0.52	0.08	0.33
Ticket fare for high-speed railway	0.54	−1.05	0.12	0.39
Ticket fare for conventional and high-speed railways	−0.41	−0.53	0.19	0.75
Decisions from social networks
All stay in place	−0.83	−2.05	−0.54	3.42
Most stay in place	−0.60	−0.94	−0.91	2.45
A few stay in place	0.38	0.88	0.41	−1.67
None stay in place	0.59	1.04	0.89	−2.52
Quarantine policy in hometown
No quarantine policies	0.86	1.47	1.48	−3.81
No quarantine needed with valid negative test reports	0.11	0.27	0.14	−0.52
Home quarantine for 14 days	−1.03	−1.90	−1.39	4.32
Quarantined in hotels for 14 days	−1.35	−2.96	−1.33	5.64