There are examples of boat traffic simulations that take temporal
characteristics into account. Berg-Andreassen and Prokopowicz (1992) used
queuing theory (QT) to stochastically model arrival and residence time
of boats in lower Mississippi River anchorages, including recreational
boats. That study was presented as a development of the theoretical
framework of a QT model to investigate (among other things) conflicts
between recreational and commercial boat traffic.
Dehghani et al. (1993) used a queuing based model to explore the effects
of bridge opening timing on both marine and automobile traffic for a
bridge in Fort Lauderdale, and Bandy (1991) used a queuing model
translated into SLAMM II computer code to examine the effects
of a proposed boat lift on boat traffic in a lock separating waters
from Lake Michigan and a river in northern Indiana. This is a common
enough method for modeling commercial marine traffic and potential
uses of port facilities.
Even though these studies were
rather limited on spatial aspects of their simulation, in principle it
would not be too difficult to create a spatially explicit version of
this model using the current state of the art in computer technology.
Boudreau et al. (1992) adapted the ``level of service'' (LOS) concept widely used by traffic engineers to model demand by recreational boats for slip facilities in Marina del Rey, California. This was done to explore the feasibility of adding new slips to an existing facility to mitigate excessive demand for services in that area. This model concentrated on available facilities, and treated demand (boats arriving to the marina) as an external factor.
In two reports that were part of a series on recreational boat use in
North Carolina, Hammon et al. (1974) developed a flowchart-like model of
recreational boat activity that strongly resembles a Forrester
Diagram,
and Cordell et al. (1975)
presented the methodology of how that model was implemented in a
specific lake in their state. One problem cited in their study(s) was
the difficulty of capturing the subtleties of complex interactions
between individuals in a recreational environment using models that
aggregate data to such a degree as do Forrester models.