Research Article

Random-Parameters Behavioral Models to Investigate Determinants of Perceived Safety in Railway Stations

Table 3

Binomial Logit estimated models.

MODEL 1MODEL 2MODEL 3

SpecificationBinomial LogitBinomial LogitBinomial Logit

DescriptionAll attributesConsistent attributes in sign only and interactions with socioeconomic (SE) characteristicsConsistent attributes in sign only and interactions with SE characteristics and travel habits

#observations120812081208
Log-likelihood function (constants)-835.5−835.5−835.5
Log-likelihood function (fitted)-648.1−636.6−627.9
Pseudo-R20.2240.2380.249
Akaike information criterion1316.31297.21285.9
VariableCoeff.t-ratioCoeff.t-ratioCoeff.t-ratio
Surveillance cameras0.466.250.476.350.456.01
Security personnel0.8911.811.0711.091.1011.22
Security personnel, employed−0.45−3.22−0.47−3.34
Commercial activities0.081.210.081.100.081.18
Road crossings1.126.491.058.560.784.37
Road crossings, freq. car high0.492.09
Tactile path and signage−0.09−0.72
Greenery0.252.180.543.150.563.21
Greenery, female−0.53−2.29−0.54−2.32
Intermodal infrastructure0.453.690.463.790.271.84
Intermodal infrastructure, freq. PT high0.672.70
Artificial lighting0.090.730.090.740.090.74
Crowding0.343.810.070.600.100.84
Crowding, female0.512.940.462.62
Decorum and maintenance1.118.881.129.001.007.36
Decorum and maintenance, freq. rail low0.722.16

The symbols , , and indicate significance at 1%, 5%, and 10% level.