Satisfaction with Public Transport Trips

Table 1: Summary of thesis' core data 
Paper 
Data 
Study area 
Timeframe 
Total sample size 
I 
SPTB 
Sweden 
2001 to 2013 
405340 
II 
SPTB 
Sweden 
2001 to 2014 
453564 
III 
METPEX 
Stockholm, 
Bucharest, 
Dublin, Turin and Coventry 
(89%) 
2013 
156 
IV 
SPTB 
Stockholm County and City 
2009 to 2015 
11873 
V 
SPTB 
Stockholm County and City 
2010 to 2015 
9171 
Statistics Sweden (SCB) data was utilized for different purposes. It was used to assign proportional 
weights on year-specific ratios between both county and gender in the SPTB sample when compared with 
the general population based on SCB (Paper I and II). In Papers I and II, the geographical regions were 
based on the density of population at a County level while a unit of urban continuum (tätort) was 
employed in cross-correlation analysis. Paper IV used density and population and purchasing power from 
SCB in the regression analyses.
Transport analysis (Trafikanalys), a governmental agency responsible for transport analysis policy, is the 
data source for the proximity and accessibility measures used in the segmentation process of Paper II. 
A worldwide geographical database, Geonames, is used in Paper II to link individual samples from SPTB 
with accessibility measures from Trafikanalys and municipalities. 
Paper IV employs an array of ancillary data. The Swedish meteorological and hydrological institute 

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(SMHI) provides with weather characteristics data; the European Environment Agency provides with 
Corine land cover, and Stockholm municipality with a survey on safety perceptions and perceptual built-
environment characteristics.