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Table 3 Description of the key variables of the discrete BN (N = 2,783)

From: Examining the factors influencing microtransit users’ next ride decisions using Bayesian networks

Variable

Definition

Levels

%

Occurrence_nr

Category of user’s next ride occurrence

\(\le 1\) day

71.8

\(2-7\) days

19.4

\(\ge 7\) days

5.6

Not utilize anymore

3.2

OD_pair

Class of user’s origin–destination pair

od_pair 1 (Arlon-Limpersberg)

7.1

od_pair 2 (Habay to Luxembourg)

2.2

od_pair 3 (Arlon-Kirchberg)

24.5

od_pair 4 (Arlon-Luxembourg)

61.4

od_pair 5 (within Luxembourg)

4.8

Is_morning

1 if the ride is in the morning and 0 otherwise

 

49.0

Is_peak

1 if the vehicle departure time is during peak hours and 0 otherwise

 

70.0

Is_august

1 if the ride occurred in August and 0 otherwise

 

20.5

Is_holiday

1 if the day after the ride is a public holiday and 0 otherwise

 

19.4

Is_first

1 if the ride is a user’s first ride and 0 otherwise

 

4.7

T_Kussbus

User’s journey time using Kussbus

\(\le\) 41

23.9

\(>\) 41 and \(\le\) 52.1

43.2

\(>\) 52.1 and \(\le\) 64

22.8

\(>\) 64

10.1

T_diff

Journey time difference between Kussbus and a car (minutes)

\(\le\) 2.5

39.8

\(>\) 2.5 and \(\le\) 14.7

39.4

\(>\) 14.7 and \(\le\) 25.9

15.8

> 25.9

5.0

Walk_dist

Total walking distance between user’s origin/destination and Kussbus stops (km)

< 0.4

50.8

> 0.4 and \(\le\) 0.8

39.5

> 0.8

9.7

Is_free

1 if this ride is free and 0 otherwise

 

42.8

Isfree_next_ride

1 if the next ride is free and 0 otherwise

 

41.2