This research also offers an appealing representation of reliability, allowing
for the identification of unique preferences and WTP measures relating to both
on-time reliability and mitigating risks of delays of 1 day or longer. This is an
important contribution relative to freight studies that either ignore reliability
altogether or use simplified, one-dimensional representations of reliability in
settings where on-time reliability and long delay are functionally distinct drivers
of service levels. The sum of these contributions expands our understanding
of the degree to which short sea shipping services would be viable along
Australian corridors with unique spatial, demand and expected level-of-service
characteristics.
Methodologically, this research confirms the merit of using optimal
experimental designs both in freight settings, in general, and in studies involving
proportional choice variables, in particular. The model outputs generally
had strong statistical significance and consistent behavioural implications
throughout the exploratory modelling phase as new data were received. Under
a standard orthogonal design, we would have expected weak statistical significance
and potentially variable behavioural implications over much of the
data collection process until a sufficiently large sample size was obtained.
The role of the proportional choice variable was likewise essential in this study.
Not only did the specification of a non-binary choice variable enable respondents
to make behaviourally meaningful choices within the study, but the
resulting choice models were also able to capture the presence of strong latent
relative preferences for modal alternatives that may have been misrepresented
through the use of a binary choice variable.
This research also offers an appealing representation of reliability, allowing
for the identification of unique preferences and WTP measures relating to both
on-time reliability and mitigating risks of delays of 1 day or longer. This is an
important contribution relative to freight studies that either ignore reliability
altogether or use simplified, one-dimensional representations of reliability in
settings where on-time reliability and long delay are functionally distinct drivers
of service levels. The sum of these contributions expands our understanding
of the degree to which short sea shipping services would be viable along
Australian corridors with unique spatial, demand and expected level-of-service
characteristics.
Methodologically, this research confirms the merit of using optimal
experimental designs both in freight settings, in general, and in studies involving
proportional choice variables, in particular. The model outputs generally
had strong statistical significance and consistent behavioural implications
throughout the exploratory modelling phase as new data were received. Under
a standard orthogonal design, we would have expected weak statistical significance
and potentially variable behavioural implications over much of the
data collection process until a sufficiently large sample size was obtained.
The role of the proportional choice variable was likewise essential in this study.
Not only did the specification of a non-binary choice variable enable respondents
to make behaviourally meaningful choices within the study, but the
resulting choice models were also able to capture the presence of strong latent
relative preferences for modal alternatives that may have been misrepresented
through the use of a binary choice variable.
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