Policy contribution
Contribution to Objectives
The contributions reported here reflect an amalgamation of the case studies
presented in the previous section. No specific evidence has been
presented instead judgements have been made from anecdotal evidence and
forecasted benefits.
| Objective |
Comment |
| 
|
Improved fleet utilisation via improved scheduling
and better maintenance regimes. Monitoring of driving style
and vehicle performance also brings major benefits. |
| 
|
Reduction in congestion and improvement in driving
style can help make streets more liveable. |
| 
|
Modal shift will help reduce car vehicle kms and so the level of environmental externalities. |
| 
|
No impact. |
| 
|
Modal shift will help reduce vehicle kms, which together with improvements in driving style will
improve safety. |
| 
|
Improvement in fleet efficiency unlikely to stimulate
economic growth. |
| 
|
Indications are that the potential gains in fleet
efficiency are very likely to outweigh implementation and additional
operational costs. |
Appropriate contexts
Bus fleet management systems are very suitable in all areas and in different
contexts of operations, e.g. demand responsive vs
fixed route. It is therefore difficult to rank the suitability of
the system other than in which areas it might have more impact.
| Appropriate area-types |
| Area type |
Suitability |
| City centre |
|
| Dense inner suburb |
|
| Medium density
outer suburb |
|
| Less dense outer
suburb |
|
| District centre |
|
| Corridor |
|
| Small town |
|
| Tourist town |
|
 |
= Least suitable area type |
 |
= Most suitable area type |
|
