|
|
|
This slide is an
extract from the analysis tool that the assessment team uses to determine
trip times. On a typical day, there
are 35-45 drivers who have trips recorded with the TomTom devices. This extract shows the first four trucks on
the list. Data reported by the tool
includes the total miles driven by the driver in the day, the amount of time
involved in the trips, and averages.
The data includes individual trips by origin and destination.
|
|
|
|
One preliminary
analysis the assessment team has done involves segmenting the data by length
of trip. While many trips are under 10
miles, there are some trips in excess of 75 miles. The team created four distance bins and may
find in the later analysis that comparisons between like distances may be
meaningful.
|
|
|
|
It is also
interesting to note that there was no noticeable effect on trip time from the
congestion and heightened port activity in LA-Long Beach during that
period. The trip ends when enters a
queue, so terminal delay itself is not part of the trip time calculated from
the TomTom data. Nevertheless, it
seems surprising that the road trip itself was unaffected by the operating
conditions. This will be examined in
more detail during the impact analysis.
|
|
|