|
A first principles assessment
The effects on supply and demand
Anticipated impacts on policy
objectives
Anticipated impacts on problems
Expected winners and losers
Barriers to implementation
The effects on supply and demand
A new light rail scheme will have both direct impacts as a new mode,
and indirect impacts as an alternative to existing modes. The table below
shows the likely short-term impacts.
Demand Responses
Responses and situations (impact on vehicle trips/mileage) |
| =
Weakest possible response, | | =
strongest possible positive response |
| = Weakest
possible negative response, | | = strongest
possible negative response |
| = No response
|
Short and long run demand responses
The table below indicates the potential magnitude of expected responses
in the short and long-term.
Short and Long Run Demand responses |
| =
Weakest possible response, | | =
strongest possible positive response |
| = Weakest
possible negative response, | | = strongest
possible negative response |
| = No response
|
Finance
The cost of light rail
Light rail is not cheap. Babalik (2000) has collected data on a number
of systems around the World. The table ‘cost of light rail systems
(and metros)’ shows data for 23 light rail systems, plus four metros
for comparison.
The cost of light rail systems (and metros) (in 1998 prices) |
Country |
City |
Route length (Km) |
Capital cost (£millions) |
Annual operating costs 1998 (£millions) |
Fare Revenue 1997 (£millions) |
Notes |
Canada |
Calgary |
29 |
643 |
6 |
n/a |
One of the highest capital costs for a non-automatic systems |
- |
Edmonton |
14 |
362 |
n/a |
n/a |
- |
- |
Scarborough |
7 |
184 |
n/a |
n/a |
Automatic system |
- |
Vancouver |
29 |
843 |
22 |
8 |
One of the highest capital costs – being automatic adds to
capital cost (extra technology and complete segregation) |
France |
Grenoble |
18 |
247 |
n/a |
n/a |
- |
- |
Nantes |
26 |
271 |
n/a |
n/a |
- |
- |
Paris |
9 |
67 |
n/a |
n/a |
- |
- |
Rouen |
15 |
256 |
24 |
9 |
- |
- |
Strasbourg |
11 |
207 |
n/a |
n/a |
- |
Switzerland |
Lausanne |
8 |
7 |
n/a |
n/a |
The lowest capital cost system (8km) |
UK |
London Docklands |
28 |
775 |
n/a |
12 |
One of the highest capital costs – being automatic adds to
capital cost (extra technology and complete segregation) |
- |
Manchester |
31 |
176 |
9 |
13 |
- |
- |
Sheffield |
29 |
271 |
9 |
5 |
- |
- |
Tyne and Wear |
59 |
533 |
27 |
21 |
- |
USA |
Baltimore |
49 |
503 |
15 |
4 |
- |
- |
Dallas |
32 |
353 |
18 |
n/a |
- |
- |
Denver |
9 |
141 |
5 |
n/a |
Lowest operating costs |
- |
Los Angeles |
57 |
717 |
34 |
3 |
One of the highest capital costs for a non-automatic systems; highest
operating costs |
- |
Portland |
24 |
309 |
15 |
3 |
- |
- |
Sacramento |
30 |
165 |
10 |
4 |
- |
- |
San Diego |
80 |
609 |
17 |
10 |
One of the highest capital costs for a non-automatic systems; longest
light rail system but not highest operating costs |
|
San Jose |
32 |
527 |
17 |
3 |
- |
- |
St. Louis |
29 |
260 |
13 |
5 |
- |
USA |
Atlanta |
62 |
3679 |
63 |
20 |
- |
Metros |
Baltimore |
25 |
1136 |
22 |
6 |
Noticeably higher capital costs than light rail |
- |
Los Angeles |
18 |
1278 |
21 |
1 |
Noticeably higher capital costs than light rail |
- |
Miami |
33 |
1058 |
32 |
9 |
Noticeably higher capital costs than light rail |
- |
Washington DC |
144 |
7372 |
190 |
n/a |
Noticeably higher capital costs than light rail and operating costs
(a much longer system) |
Source: Babalik (2000)
Note: N/A indicates that data were not available.
Capital costs represent the value of the investment in the year 1998.
All costs and revenues are in UK Sterling at 1998 prices with currency
conversions made using the purchasing power parity index provided by OECD
(obtainable from http://www.oecd.org/std/nadata.htm).
The figure below shows that in the US average operating costs per passenger
mile tend to be higher for light rail than heavy-rail and commuter rail
but lower than the equivalent figure for bus. It is likely that if the
analysis were performed on a per trip basis light rail would perform less
favourably when compared to bus but more favourably in comparison with
other rail systems.
Average operating cost by mode and city category in the US (APTA,
2002)
The cost of a system is influenced by many factors including its size.
It is also useful to consider costs in terms of patronage, and to compare
operating costs and revenue to see how close to profitability the system
is. The table below shows the capital cost per kilometre of route, the
annualised capital cost per passenger, the operating cost per passenger,
the fare revenue per passenger, and the farebox recovery ratio, which
is the ratio of revenue to operating costs. For comparison, the five metros
are also included.
Cost and revenue indicators for light rail (and
metro) systems |
City |
Capital cost/km (£million) |
Annualised capital cost/passenger £ |
Operating cost/passenger |
Fare revenue/passenger |
Farebox recovery ratio (%) |
Notes |
Calgary |
22 |
1.27 |
0.14 |
n/a |
n/a |
Lowest operating cost per passenger |
Edmonton |
26 |
2.92 |
n/a |
n/a |
n/a |
Relatively high capital costs per km, but was the first modern system
|
Scarborough |
28 |
4034 |
n/a |
n/a |
n/a |
One of the most expensive capital costs per km – an automatic
system |
Vancouver |
29 |
1.67 |
0.53 |
0.19 |
38 |
One of the most expensive capital costs per km – an automatic
system |
Grenoble |
13 |
0.90 |
n/a |
n/a |
n/a |
Over 20 million passengers per year |
Nantes |
10 |
0.86 |
n/a |
n/a |
n/a |
Over 20 million passengers per year |
Paris |
7 |
0.32 |
n/a |
n/a |
n/a |
- |
Rouen |
17 |
1.50 |
1.73 |
0.64 |
37 |
- |
Strasbourg |
18 |
0.96 |
n/a |
n/a |
n/a |
- |
Lausanne |
9 |
0.80 |
n/a |
n/a |
n/a |
- |
London Docklands |
28 |
3.04 |
n/a |
0.72 |
n/a |
One of the most expensive capital costs per km – an automatic
system |
Manchester |
6 |
1.05 |
0.69 |
0.99 |
143 |
Over 20 million passengers per year |
Sheffield |
9 |
2.42 |
1.15 |
0.60 |
52 |
- |
Tyne and Wear |
9 |
1025 |
0.76 |
0.58 |
77 |
About 35 million passengers per year |
Baltimore |
10 |
5.87 |
2.14 |
0.53 |
28 |
High operating cost per passenger – reflection of low patronage,
7 million passengers per year |
Dallas |
11 |
2.65 |
1.66 |
n/a |
n/a |
- |
Denver |
17 |
2.42 |
1.09 |
n/a |
n/a |
- |
Los Angeles |
13 |
2.45 |
1.41 |
0.15 |
7 |
Over 20 million passengers per year |
Portland |
13 |
2.15 |
1.23 |
0.25 |
20 |
- |
Sacramento |
6 |
1.68 |
1.20 |
0.49 |
40 |
- |
San Diego |
8 |
2.18 |
0.76 |
0.55 |
68 |
Over 20 million passengers per year |
San Jose |
16 |
6.27 |
2.49 |
0.48 |
20 |
Highest operating cost per passenger – reflection of low patronage,
7 million passengers per year |
St. Louis |
9 |
1.47 |
0.87 |
0.37 |
46 |
- |
Atlanta Metro |
59 |
3.89 |
0.82 |
0.23 |
32 |
Notably higher capital costs per km |
Baltimore Metro |
46 |
7.28 |
1.73 |
0.51 |
31 |
Notably higher capital costs per km |
Los Angeles Metro |
71 |
8.57 |
1.72 |
0.06 |
4 |
Notably higher capital costs per km |
Miami Metro |
32 |
6.46 |
2.40 |
0.67 |
29 |
Notably higher capital costs per km |
Washington DC Metro |
51 |
2.85 |
1.13 |
n/a |
n/a |
Notably higher capital costs per km |
Source: Babalik (2000).
Note: N/A indicates that data were not available.
All costs are in UK Sterling at 1998 prices.
The capital cost has been annualised by discounting the capital cost in
the year 1998 over 30 years at 8%. This has been done for all systems
to allow comparisons. It is not necessarily how it was originally done
for economic evaluation of the scheme.
Supply impacts
Light rail systems are likely to have the effect of reallocating road
space from general traffic to light rail. The system may reduce the vehicle
carrying capacity of a road that is certain to increase the person carrying
capacity. Where modal shift occurs from car, road capacity may be freed
up, encouraging people who were deterred by congestion to drive (Mogridge,
1997).
Light rail transit often represents a significant improvement in quality
of service from that which can be provided by bus - particularly if there
are insufficient bus priority measures. Ride quality, capacity, speed,
access for disabled, and reliability are all likely to be improved.
Impact on the supply of other public transport may depend on the level
of regulation. In a regulated bus market bus services are likely to be
rearranged to complement the light rail system with feeder services. In
a deregulated market, in the short term at least, there is likely to be
significant competition from bus operators on the same corridor.
If the system is not carefully designed the rails can represent a significant
danger to cyclists (McLintock, 2003) e.g. Sheffield Supertram
Anticipated impacts on policy objectives
Objective |
Scale of contribution |
Comment |
|
/ |
By reducing overall disutility
of travel for those travelling by LRT. If there are significant
transfers from car then reduced congestion will improve transport
efficiency. On the other hand, reduced road space dedicated to private
car may increase congestion in the short run at least. |
|
|
Any transfers from car will
reduce the adverse impacts of traffic allowing development of more
attractive urban areas. In residential areas, the light rail layout
often leads to pieces of land left unused. These can be turned into
linear parks or play areas (e.g. Sheffield). Overall, a new light
rail system is likely to make cities more pleasant to live in, partly
because of the opportunity for complementary development that it
offers. |
|
|
By reducing air and noise
pollution and pressures on green space and environmentally sensitive
sites. Light rail systems are invariably electrically powered avoiding
all omissions locally but probably requiring fossil fuel consumption
for the production of that electricity. In the longer term, environmental
benefits are likely to be greater if the scheme reduces road capacity
for private vehicles. |
|
|
A light rail system does
offer a high-quality alternative to the car although not necessarily
in areas where the socially excluded live. Modern light rail offers
level boarding which is helpful for the mobility-impaired - especially
those in wheelchairs. |
|
|
Light rail is safe compared
with car and even bus, both because the technology is intrinsically
safe and because operating regimes tend to place heavy emphasis
on safety. If there is a net transfer from car to light rail with
little induced road traffic, then it should lead to an increase
in safety.
With on-street running systems the main danger is likely to be a
lot of cyclists slipping on or getting stuck in the tracks. Careful
design can mitigate these risks.
|
|
/ |
By offering a stimulus to
economic development; by enhancing the economic potential of existing
economic centres and possibly encouraging investment through improved
image of an area. On the other hand, the major investment required
and the implied increase in taxation may stifle economic growth.
It is sometimes argued that light rail (and other major transport
investments) redistribute economic growth but do not lead to a net
increase in growth. The same may be true or increases in property
prices.
On the other hand, it could be argued that light rail can encourage
centralised high-density development which is more sustainable economically
and environmentally than out-of-town developments that can only
be accessed efficiently by private car.
|
|
|
High capital costs with the
majority of systems not even covering operating costs with fares,
and none covering capital costs. |
| = Weakest
possible positive contribution, | | = strongest
possible positive contribution |
| = Weakest
possible negative contribution | | = strongest
possible negative contribution |
| =
No contribution |
Anticipated impacts on problems
Problem |
Scale of contribution |
Comment |
Congestion-related delay |
|
Reduce delay due to transfer
from car. In the shorter-term disruption associated with construction
may increase traffic congestion, whilst reduced road space once the
system is operational may increase congestion on certain corridors. |
Congestion-related unreliability
|
/ |
See explanation above. |
Community severance |
|
A segregated system could actually
sever a community but careful design can avoid this. The most likely
impact is a positive one due to reduced road traffic levels associated
with transfer from car on certain corridors. |
Visual intrusion |
|
Due to reduced road traffic levels
associated with transfer from car, although associated infrastructure
may cause some slight visual intrusion. |
Lack of amenity |
|
Due to reduced road traffic levels
associated with transfer from car. |
Global warming |
|
Due to reduced road traffic levels
associated with transfer from car. |
Local air pollution |
|
Due to reduced road traffic levels
associated with transfer from car. |
Noise |
|
Due to reduced road traffic levels
associated with transfer from car. |
Reduction of green space |
|
Reduced road traffic levels associated
with transfer from car may reduce pressure for further road construction. |
Damage to environmentally sensitive
sites |
|
Due to reduced road traffic levels
associated with transfer from car |
Poor accessibility for those
without a car and those with mobility impairments |
|
A high-quality alternative to
the car although not necessarily in areas where the socially excluded
live. Modern light rail offers level boarding which is helpful for
the mobility-impaired - especially those in wheelchairs. |
Disproportionate disadvantaging
of particular social or geographic groups |
/ |
Tends to serve high volume corridors
that are likely to already be well served by public transport. |
Number, severity and risk of
accidents |
|
Providing the system is designed
in a manner that considers cyclists’ safety. |
Suppression of the potential
for economic activity in the area |
|
By offering a stimulus to economic
development; by enhancing the economic potential of existing economic
centres and possibly encouraging investment through improved image
of an area. |
| = Weakest
possible positive contribution, | | = strongest
possible positive contribution |
| = Weakest
possible negative contribution | | = strongest
possible negative contribution |
| =
No contribution |
Expected winners and losers
We would not necessarily expect everyone to directly benefit from the
introduction of a light rail system. The table below highlights the main
groups of people who could be expected to be direct beneficiaries, as
well as those who could be expected, in the first instance at least, to
lose out. It should be remembered, however, that this only relates to
the direct, immediate impacts; mitigating measures could be put in place
to help those who lose out. It should also be noted that impacts are focused
on the routes served by the light rail system, and that long term impacts
as a result of potential changes in surrounding land use and consequently
that further a field could be different.
Expected winners and losers
Group |
Winners
/ losers |
Comment |
Large scale freight and commercial
traffic |
|
High value journeys – because
less car traffic, therefore less time spent in congestion the greater
the vehicle utilization – relatively small proportion of journey distance
in urban conditions. |
Small businesses |
|
In areas served by light rail.
|
High income car-users |
|
New alternative mode, fewer
cars on the road. |
People with a low income |
|
They will benefit if they live
in an area served by light rail, but if this is not the case and there
is less funding for other alternatives to the car, they are likely
to disbenefit. |
People with poor access to public
transport |
|
They will benefit if they live
in an area served by light rail, but if this is not the case and there
is less funding for other alternatives to the car, they are likely
to disbenefit. |
All existing public transport
users |
|
New public transport alternative
– mainly benefits those living near route. |
People living adjacent to the
area targeted |
|
They may benefit from reduced
congestion and improved or increased public transport supply. |
People making high value, important
journeys |
|
A new efficient alternative
is available. |
The average car user |
|
Where they are able to travel
more efficiently, saving time and money. |
| = Weakest
possible positive contribution, | | = strongest
possible positive contribution |
| = Weakest
possible negative contribution | | = strongest
possible negative contribution |
| =
No contribution |
Barriers to implementation
As the decision to implement a light rail system can be largely political,
there may well be problems associated with this, not least justifying
the substantial expenditure. However, further, factors will be the way
in which the policy is presented to the public, the public acceptability
of the policy and whether the necessary legal powers are in place. The
scale of barriers is indicated in the table below.
Barriers to Implementation
Barrier |
Scale |
Comment |
Legal |
|
The extent of legal barriers
varies greatly according to the legislative framework. Integration
of a light rail system with local bus in particular but also rail
networks is important to its success. In the UK outside of London
it is at the time of writing (July 2006) very difficult to force cooperation
from local operators. In countries where local transport is government-controlled
(as is the case in much of continental Europe) this is much less of
an issue. |
Finance |
|
Even if a business case can be
demonstrated, the size of the sums involved for construction means
that in many countries implementation plans are dictated by the finances
of regional and/or national government. |
Political |
|
The political situation often
relates to the question of financing. However, there are also local
issues associated with construction itself such as the forced purchase
of land and the removal of parking and delivery access for business
premises. |
Feasibility |
|
Technical feasibility varies
greatly according to physical and human geography of the area. Most
technical difficulties are not insurmountable in themselves but may
push costs to an unacceptable level. |
| = Weakest
possible positive contribution, | | = strongest
possible positive contribution |
| = Weakest
possible negative contribution | | = strongest
possible negative contribution |
| =
No contribution |
|