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Table 5 Modelling results, Heckman model: willingness to use (eq. 1: selection) a specific transport mode

From: Post-COVID-19 travel behaviour patterns: impact on the willingness to pay of users of public transport and shared mobility services in Spain

EQUAT. VARIABLES (Base reference) PUBLIC TRANSPORT CAR-SHARING BIKE-SHARING / KICK SCOOTER-SHARING TAXI / RIDE-HAILING MOPED SCOOTER-SHARING
Coeff. p-value Coeff. p-value Coeff. p-value Coeff. p-value Coeff. p-value
WILLINGNESS TO USE SOCIODEMOGRAPHICS Monthly Income (below 500 Euro)
  500 to 1000 Euro           
  1000 to 1500 Euro           
  1500 to 2000 Euro        0.253 0.010   
  2000 to 3000 Euro        0.253 0.010   
  Above 3000 Euro −0.496 0.004    −0.255 0.093     
Gender (male)
  Female 0.221 0.098      0.231 0.019   
Age (under 30)           
  30 to 49    −0.381 0.000 −0.388 0.003 −0.246 0.033 −0.360 0.005
  50 to 64    −0.280 0.018 −0.613 0.000 −0.341 0.014 −0.535 0.000
  Above 64    −0.280 0.018 −1.337 0.000    −0.535 0.000
Occupation (employed, no teleworking)
  Student        0.329 0.032 0.368 0.014
MOBILITY HABITS Commuting (base case: intensive, public transport)
  Intensive, private car/moto −0.878 0.000         
  Intensive, bike −1.020 0.000 −0.233 0.071    −0.243 0.094   
  Intensive, walking −0.759 0.001 −0.211 0.095       
  Intensive, other −1.380 0.000         
  Non-intensive, public transport           
  Non-intensive, private car/moto          −1.243 0.008
Leisure (base case: intensive, public transport)
  Intensive, private car/moto −0.326 0.096         
  Intensive, bike −0.587 0.015         
  Intensive, walking −0.482 0.015         
  Non-intensive, public transport    −0.249 0.042 −0.325 0.035 − 0.256 0.078   
  Non-intensive, private car/moto −0.431 0.058      −0.241 0.079   
  Non-intensive, walking −0.592 0.021         
  Non-intensive, other      0.850 0.051    0.760 0.058
Shopping (base case: intensive, public transport)        −0.800 0.028   
  Intensive, private car/moto        0.288 0.050   
  Non-intensive, private car/moto −0.441 0.004         
  Valuing comfort    0.068 0.013    0.088 0.048