A paper titled 'Introducing human factors in pedestrian crossing behaviour models' co-authored by Eleonora Papadimitriou, Sylvain Lassarre and George Yannis is
now published in the Transportation Research Part F: Traffic
Psychology and Behaviour. A field survey was carried out, in which a
panel of 75 pedestrians were asked to take 8 short walking trips (each
one
corresponding to a different walking and crossing scenario) in the
Athens city centre in Greece, allowing to record their crossing
behaviour in
different road and traffic conditions. The same individuals were asked
to fill in a questionnaire on their travel motivations, their mobility
characteristics, their risk perceptions and preferences with respect to
walking and road crossing, their opinion on drivers, etc. The walking
and
crossing scenarios’ data were used to develop mixed sequential logit
models of pedestrian behaviour on the basis of road and traffic
characteristics. The modelling results showed that pedestrian crossing choices are significantly affected by road type, traffic flow and
traffic control. The questionnaire data were used to estimate
human factors (components) of pedestrian crossing behaviour by means of
principal component analysis. The results showed that three components
of pedestrian crossing behaviour emerge, namely a “risk-taking and
optimisation” component reflecting the tendency to cross at mid-block in
order to save time, etc., a “conservative” component,
concerning individuals with increased perceived risk of mid-block
crossing, who also appear to be frequent public transport users, and a
“pedestrian for pleasure” component, bringing together frequent
pedestrians, walking for health or pleasure, etc. The introduction of
these components as explanatory variables into the choice models
resulted in improvement of the modelling results, indicating that human
factors have
additional explanatory power over road and traffic factors of pedestrian
behaviour. 
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