Table 2 Explanatory variables in ordinal logit models

From: MaaS adoption intention among car commuters and Park&Ride users in suburban areas of Madrid Region

Variable name

Explanation

technophilia

Individual factor score in technophilia

gain_motives

Individual factor score in gain motives

hedonic

Individual factor score in hedonic motives

hed_norm

Individual factor score in hedonic-normative motives

female

Binary, equals 1 if respondent is female and 0 otherwise

student

Binary, equals 1 if respondent is student and 0 otherwise

triptime_drive

Time needed to complete respondent’s most frequent trip by car (calculated by API in min)

dist_CBD

Straight line distance from the origin (street) of respondent’s most frequent trip to the centre of Madrid (km)

buildings_dest

Number of buildings within an 800-m buffer from the destination of respondent’s most frequent trip

subrail_dest

Share (%) of respondent’s destination traffic analysis zone (TAZ) covered by an 800-m buffer from the closest suburban rail station