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Evidence on Performance
In this section case studies are presented to demonstrate the empirical
evidence of the use of Park and Ride schemes as policy instruments. A
summary of an Atkins report containing analysis of several sites in the
UK including is presented. A re-evaluation of the Atkins case studies
by Parkhurst (2000) is then given. Also included is global information
relating to worldwide Park and Ride schemes.
The Travel Effects of Park and Ride Atkins
A report by WS Atkins and the DETR published in September 1998 studied
the effects of Park and Ride systems in Brighton, Cambridge Coventry,
Norwich, Plymouth, Reading, Shrewsbury and York. Each site was visited
and discussions were held with local authorities, car park and bus service
operators and city centre managers as appropriate. Questionnaire surveys
based upon the behaviour and views of Park and Ride users were carried
out in each of the sites, with a second post back questionnaire used in
six of the eight sites for non-users of the park and ride. This would
help separate the views of these two groups. Overall 1,479 of the questionnaires
were returned (25%).
Results found showed that:
- Non-users and users were of a similar age and trip purpose;
- Over two thirds of users were female, with non-users being an even
split;
- Half of users use the Park and Ride at least once a week;
- 85% of people drive to the Park, 11% walk, 2% are dropped off and
1% cycle;
- 92% of non-users know about the alternate possibility of Park and
Ride; and
- 21% of users drive less than 2km to the site, indicating the potential
for access by cycling or walking);
- 16% of those questioned said that they would not have made the journey
had the Park and Ride been unavailable;
- Trip generation is high, particularly in Brighton (18%), Coventry
(21%) and Reading (18%).
The study found that private car mileage did experience a net decrease
from the use of Park and Ride facilities and the value of the decrease
varied from site to site. The reduction in traffic was more significant
in cities that also employed transport strategies that aim to remove long
stay car parking in the centre and move it to the Park and Ride site,
this effect was noted in York and Cambridge. This policy in York and Cambridge
is helping to make it viable to increase the number of park-and-ride sites
so decreasing potential diversion distance over time.
Other conclusions were:
- Consideration should be given for the provision of enhanced facilities
for pedestrians and cyclists to encourage a modal shift in the case
of short access trips,
- Bus abstraction will be experienced in areas where Park and Ride competes
against local bus services,
- Park and Ride sites situated further from the centre allow for greater
savings of mileage, although suitable sites to counteract the need for
diversion on radial routes are ideal,
- Diversionary trips can be reduced further by comprehensive policies
which include the location of Park and Ride sites on all key routes.
Reasons for non-users to avoid Park and Ride were perceived speed, ease
of driving directly into the centre, proposed length of stay and limited
mobility. Whereas cost, convenience, reliability, frequency, difficulty
in parking and faster journey time were the reasons given by users for
why they switched to Park and Ride. Of these factors, the non-users and
users pointed to cost and journey time being the most likely to influence
their decision on whether to switch to Park and Ride or not.
Table 7: Contribution to objectives
Objective |
Comment |
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A reduction in traffic in urban areas during
the peak in particular represents an efficiency gain. The benefits
may be partially negated by the increase in traffic in the scheme's
catchment area. |
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A reduction in traffic in urban areas during the peak
in particular is likely to reduce air and noise pollution and perceptions
of danger. The benefits may be partially negated by the increase in
traffic in the scheme's catchment area. |
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The net reduction in overall vehicle kilometres (urban
plus nonurban) will lead to a reduction in CO2 emissions as long as
the freed road space is not simply filled with traffic transferring
from other modes (induced) and newly generated trips. |
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Uncertain. |
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Reduced road traffic in urban areas is likely to reduce
accidents affecting vulnerable road users (pedestrians and cyclists)
whilst the extra traffic in higher speed nonurban areas is likely
to increase accidents that injure vehicle occupants. |
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Any reduced traffic congestion is likely to be economically
beneficial as is the alternative means of accessing the city centre.
Furthermore, the newly generated trips are likely to boost the city
centre. On the other hand taxes necessary to support the majority
of schemes may stifle growth. |
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Operating subsidy required in every case but one. |
Parkhurst 1999 and 2000
A study by Parkhurst (2000) reviewed the work of Atkins for the DETR
and offered an alternative appraisal of the same eight park and ride sites
by separating the analysis into urban and outer-urban components. Parkhurst
considered three types of traffic increase: 1) drivers who are intercepted
detouring to reach park and ride sites; 2) passengers switching from existing
public transport services; and 3) drivers making additional trips.
Some of Parkhurst's key findings supported whilst others contradicted
the Atkins report. These are presented below along with supporting tables.
a) Impact On Urban Areas
The reduction in car vehicle kms is greater than the additional car-equivalent
distance run by park and ride bus services in seven of the eight case
studies. Bus kilometres are weighted by 2.5 compared to car to reflect
the buses’ increased impact per kilometre on congestion, road wear
and the environment. In Coventry the additional bus traffic was 2.6 car
kms greater per intercepted car, whilst in the remaining seven case studies
the reduction in car kms per intercepted car ranged from 1.1 (in Brighton)
to 6 in Shrewsbury. Whether this actually results in such a reduction
is dependent on the extent to which freed up road space is filled by additional
urban traffic.
Table 8: Changes in Traffic in urban area Per Intercepted Car
(car kms)
Urban Area |
Change in car-equivalent
km per car intercepted
|
Cost per car-km intercepted (£) |
Brighton |
-1.1 |
n/a |
Cambridge |
-5.0 |
0.53 |
Coventry |
+2.6 |
traffic increase |
Norwich |
-4.3 |
0.36 |
Plymouth |
-4.3 |
0.37 |
Reading |
-3.0 |
0.42 |
Shrewsbury |
-6.0 |
0.12 |
York |
-5.8 |
0.02 |
b) Impact On Outer Urban Areas
Results presented in the table below (column 3) suggested an increase
in traffic outside of the urban area in all eight case studies as the
result of intercepted drivers detouring to reach park and ride sites,
passengers switching from existing public transport services and drivers
making additional trips. The first impact (detouring) can add between
1.5 car kms (Reading) to 6 car kms onto the outer urban journeys of intercepted
car drivers. The second impact (modal switch) adds between 3.4 car kms
(Coventry) to 20.5 car kms (Norwich) per intercepted car. The third impact
(generated trips) increases car kms per intercepted car by between 4.1
(Shrewsbury) and 25.7 (Norwich).
c) Net Impact on Traffic Growth
The net impact on traffic growth is to increase traffic on the road
network overall for each case study by between 0.9 (Shrewsbury) to 20.7
(Norwich) car kms per intercepted car.
Table 9: Changes in Traffic Per Intercepted Car (car kms)
Urban area |
Change in traffic within urban
area |
Change in traffic outside urban
area |
Net change |
Brighton
Cambridge
Coventry
Norwich
Plymouth
Reading
Shrewsbury
York |
-1.1
-5.0
+2.6
-4.3
-4.3
-3.0
-6.0
-5.8 |
+7.9
+13.8
+6.7
+25.0
+9.1
+7.5
+6.9
+8.5 |
+6.7
+8.8
+9.3
+20.7
+4.8
+4.4
+0.9
+2.7 |
Parkhurst concludes, “Urban-fringe bus-based park and ride
provided with dedicated bus services is better described as a policy of
car traffic redistribution than a policy of car traffic reduction”.
d) Benefits of Traffic Transfer From Urban to Outer Urban Areas
This will be beneficial where urban congestion and/or environmental
externalities in the urban areas are more acute than in the outer urban
areas. There might however be greater urbanisation around the park and
ride catchment area.
e) Costs and Revenues
After comparing the annualised operating costs & capital costs with
revenue from user charges only one scheme (Brighton) was estimated to
cover its costs, whilst the others required a subsidy per car intercepted
that ranged from £0.11 (York) to £5.87 (Coventry). In terms
of subsidy cost per intercepted car km these ranged from £0.02 (York)
to £0.53 (Cambridge).
Table 10: Capital and Operating Costs of Park and Ride Sites
Urban Area |
Annualised |
Annual |
|
Capital Costs (£)
|
Operational Costs (£)
|
Bus-km Operated |
Brighton
Cambridge
Coventry
Norwich
Plymouth
Reading
Shrewsbury
York |
32,000
272,000
72,000
244,800
179,200
100,000
280,000
320,000 |
46,000
256,000
66,000
212,400
149,600
80,000
230,000
250,000 |
131,864
598,986
97,965
612,048
283,321
289,230
513,150
529,944 |
Urban Area |
Annual |
|
Cost per Operating
Day (£) |
|
Operational Costs of
Bus Services (£) |
Total
Costs (£) |
Brighton
Cambridge
Coventry
Norwich
Plymouth
Reading
Shrewsbury
York |
171,423
778,682
127,355
795,662
368,317
375,999
667,095
688,927 |
249,423
1,306,682
265,355
1,252,862
697,117
555,999
1,177,095
1,098,927 |
802
4,202
853
4,028
2,242
1,788
3,785
3,534 |
Table 11: Cost of Urban Traffic Interception Due to Park and
Ride Per Weekday
Urban area |
User-charge revenue (£)
|
Net Cost (surplus) (£)
|
Subsidy requirement per intercepted
car (£) |
Brighton
Cambridge
Coventry
Norwich
Plymouth
Reading
Shrewsbury
York |
1282
2190
242
3105
1405
2174
2455
3405 |
(480)
2012
611
924
836
429
1330
129 |
none
2.65
5.87
1.56
1.59
1.28
0.70
0.11 |
Table 12: Contribution to Objectives
Objective |
Comment |
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Overall vehicle kilometres increased in
every case but were redistributed onto less congested roads that in
the short term at least is probably more efficient. However, any efficiency
gains will be negated if freed road space fills up in the urban area.
It is notable that there was a net increase even in the towns that
have a long-term policy to reduce parking in the town centre. With
projected increases in traffic levels, the long-term effect may be
simply to spread the congestion problem beyond the city boundary. |
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Traffic reductions in all but one of the case studies
in the urban area are likely to reduce noise, local air pollution
and perceptions of danger. Problem has been moved to possibly less
sensitive nonurban roads which may represent a net improvement. |
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No direct evidence presented but it is possible that
whilst overall vehicle kilometres have increased, because they are
driven on less congested roads, in the short-term, emissions of CO2
and local pollutants may see a net decrease for some of the schemes
studied. |
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No evidence presented, impact difficult to judge. |
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No direct evidence presented but likely reduction in
accidents in urban area but an increase in nonurban area. |
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Provides an attractive alternative for accessing shops
and employment in the urban area and newly generated trips may boost
the city centre. On the other hand the taxes required to support all
but one of the schemes may stifle economic growth. |
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All but one of the schemes run at a significant loss
and are therefore a financial drain on the body that is responsible.
There is also significant abstraction from existing public transport
which may increase the subsidy requirement for those services. |
Text edited at the Institute for
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