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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