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Parking Guidance and Information systems
SummaryFirst principles assesmentEvidence on performancePolicy contributionComplementary instrumentsReferences

First principles assessment

Why introduce parking guidance and information systems?

In general, PGI systems aim to encourage a more efficient use of the parking stock, to reduce queuing at car parks and parking search times (Polak, et al.,1990), and consequently to cut search traffic.

Problems generated by the lack of parking spaces in predominantly, highly populated areas are manifesting themselves as increased traffic congestion and longer travel times. These in turn lead to a lower quality of life and a lower level of accessibility for citizens (Verhoef et al., 1995; Miles et al, 1998; Ison and Wall, 2002). Searching for parking spaces may be responsible for as much as 30% of the traffic on main urban roads (Allen, 1993) and time spent searching for a parking place can often reach up to 40% of the total travel time (Axhausen, 1994).

The use of PGI systems can assist drivers to improve network efficiency and accessibility by reducing time wasted searching or queuing at car park entrances. This in turn reduces congestion on the road network near the controlled car parks, benefiting other traffic (DfT, 2003). Non-quantifiable benefits include an improved public image of car park management, and reduction in driver frustration. Based on various studies (Gercans, 1984; Allen, 1993; Axhausen et al.,1994; Polak, et al.,1990; DfT,2003 ).

Demand impacts

Benefits from a PGI system will be greatest when the demand for off-street parking is approximately equal to supply. If there is an excess demand for off-street spaces, PGI is expected to have little impact on problems caused. This is because the signs continuously would show ‘no space’. Also, if demand is sufficiently less than supply and spaces are easy to find, the system provides little benefit.

It is assumed that if drivers access parking information before they start their journeys, and if car parks are full, they can choose not to use their cars; go to the nearest available car park; or change their final destination. However t here is also a potential danger that by helping the motorist, they reduce the probability of drivers using an alternative more sustainable mode (DfT, 2003).

  • PGI systems are likely to be less effective in areas where (Converge-D3.3.1, 2000; Kempter et al. 1995):
  • there is a high proportion of drivers with local knowledge;
  • many drivers have private car parking spaces; and
  • there are significant through traffic movements.

Responses and situations

Response

Reduction in road traffic

Expected in situations

Change departure time

0

May delay departure until spaces are available in desired car park, or just more spaces generally if information accessed before departure. This may reduce congestion, but impact on vehicle kilometres by car is likely to be negligable.

Change route

2

Availability of car parking at different car park than usually visited will result in changes in the route followed to trip end.

Change destination

-2

With no parking availability at desired destination, drivers might consider changing destination for some trip purposes, e.g., shopping and leisure trips to out of town centres .

Reduce number of trips

1

If known lack of parking availability causes drivers to use alternative more sustainable modes.

Change mode

-2

By increasing the convenience of travel by car, e.g. reducing total journey time and frustration of searching for a parking space.

Sell the car

0

 

Move house

0

 

1 = Weakest possible response, 5 = strongest possible positive response
-1 = Weakest possible negative response, -5 = strongest possible negative response
0 = No response

 

There is however some problem in getting drivers to make use of such systems. Axhausen et al (1994) found that drivers tended to adopt their own strategy and only turn to the parking guidance when this failed. Other studies show that drivers take limited notice of the parking guidance systems and then for certain types of information. Attitudinal and stated preference studies by Allen (1993) and other studies reviewed by Thompson and Bonsall (1997) bear this out.

Supply impacts

Improved utilization of off-street long stay parking may improve the accessibility of short stay on-street parking areas. Reduced search traffic and shorter journey times will release some capacity that will improve the speeds that were originally lower around the car parks.

Financing requirements

The cost for PGI varies according to the equipment, interface between the PGI and the parking sites and the communication system that will be used for the system. The exact costs of a PGI system depend on the vendor selected to provide the equipment, the interface method between the PGS and the car parks, and the communication system. Cost estimate for a PGI with 24 dynamic message signs in San Jose (USA) suggests the total cost would be $4.1 million, of which nearly $3 million is design and equipment cost (Spencer, 2004).

Studies suggest that the benefits of such systems can exceed the cost. A cost-benefit calculation made for SouthamptonPGI suggested that the PGI signs were economically viable (with an economic rate of return of 91%) and over a five year period the benefits outweighed the cost of installation and maintenance (Converge-D3.3.1, 2000). It found that annual reductions in vehicle operating costs and annual increases in revenue for the public transport operator exceeded the annual operating costs of PGI, with a benefit-cost ratio of 1.85 (Kempter et al. 1995).

Expected impact on key policy objectives

Parking guidance and management can improve network efficiency significantly, and environment and accessibility at some degree. Improved parking information from PGI systems can raise the public’s image of the area, which can lead to improved revenue generation within that area. It can lead to safer driving behaviour, as drivers are guided straight to an available space (UTMC, 05a Final Report Page 47). The efficiency and accessibility benefits from reduced searching may be associated with some reductions in environmental intrusion and accidents, but these will depend on the local circumstances.

Objective

Scale of contribution

Comment

Efficiency

2

By minimizing queues for parking; spreading the excess parking demand; helping to obtain desired occupancy levels and hence improving parking turnover rates of car parks.

This increases road capacity through reduced parking queues.

Makes controlling parking operations easier with better data management, also allowing easier decision processes and implementation of plans.

Liveable streets

1

By reducing parking queues and search traffic and by helping to eliminate illegal parking.

Protection of the environment

2

By reducing air pollution, and visual intrusion, thus enhancing use of urban areas.

Equity and social inclusion

0

 

Safety

1

When on-street parking and search for parking is reduced.

Also more stringent supervision leads to less illegal parking, a major cause of accidents.

Economic growth

1

Where reduced congestion and pollution improves environmental quality, thus the image of the area.

Finance

1

When used for Park and Ride sites, bus operators would benefit from increased passenger due to increased usage of the site.

Car parking operators will benefit from greater parking use of off-street parking.

There will be cost incurred both in implementing and maintaining PGI systems.

 

  • Changes in pollutant emissions and fuel consumption due to PGI are most closely related to changes in overall travel time (Converge-D3.3.1, 2000). Kempter et al. (1995), for example, reported annual reduction in pollutant emissions due to PGI at a Park and Ride site in Munich (Munchen), Germany . However their estimate was made based on questionnaire results for the number of drivers using Park and Ride due to PGI and average changes in the distance travelled by these users. The DfT’s sponsored project on UTMC (UTMC03, 2000) suggests:

Parking guidance systems can lead to a non-trivial reduction in the vehicle emissions under extreme conditions of good guidance and drivers who do not know where there are likely to be vacant parking spaces.

The emissions reductions depend on the level of demand for public parking places in relation to the supply. As the difficulty of finding a place increases, measured by the unaided search time or distance, then the benefits increase.

Emission reductions through benefits to would-be on-street parkers who fail to find an on-street place may take place. This could be a significant factor under circumstances where demand for on-street places is high.

Typical benefits are 2% reductions in emissions of CO and HC and 1% in emissions of NO X and PM 10S. Although larger benefits are possible under favourable conditions. It should be noted that these benefits may decrease as on-street parking places increase because drivers take one of these rather than travel to another off-street public car park (Thompson, R G 2001). In summary, the limited information so far available suggests that parking guidance systems and media information can contribute to the reduction of emissions by decreasing search times, particularly under congested conditions.

Expected impact on problems

Provision of parking information is expected to shorten the time spent on finding a parking space and waiting before parking a car, reduce irritation associated with it and lead to efficient and increased use of parking facilities. Reductions in on-street parking and cars driving around searching for spaces are expected to make road traffic smoother and improve the environment. Making parking facilities within the area easier to use is expected to reduce concerns about travelling to the applicable district by car and contribute to the revitalization of the region such as by improving the image of the area. The evidence from Southampton (Converge-D3.3.1, 2000) and Frankfurt (Axhausen et al., 1994) indicates that parking guidance information reduces the average time spent parking at times when there is a large demand for parking.

Contribution to alleviation of key problems

Problem

Scale of contribution

Comment

Congestion-related delay

1

Contribution may be greater when established in an affluent area or combined with low car housing development

Congestion-related unreliability

3

By shortening the time spent on finding a parking lot and waiting before parking a car

Community severance

2

By reducing search traffic

Visual intrusion

1

By reducing queues for parking

Lack of amenity

 

 

Global warming

1

By reducing traffic-related CO 2 emissions

Local air pollution

2

By reducing emissions of NO x, particulates and other local pollutants

Noise

1

By reducing traffic levels and by reducing parking search.

Reduction of green space

1

By reducing pressure for new parking provision.

Damage to environmentally sensitive sites

1

By reducing traffic volumes and queues around these areas.

Poor accessibility for those without a car and those with mobility impairments

0

 

Disproportionate disadvantaging of particular social or geographic groups

0

Car drivers unable to access information prior to travel may be disadvantaged, but since few people currently to this, impacts are negligible.

Number, severity and risk of accidents

2

By reducing search traffic and illegal parking.

Suppression of the potential for economic activity in the area

1

By improving the efficiency of the local road network and parking supply. By improving perceived parking availability.

 

Expected winners and losers

Winners and losers

Group

Winners / losers

Comment

Large scale freight and commercial traffic

2

These are high value journeys – less time spent in congestion the greater the vehicle utilization- where illegal on-street parking is reduced, loading/unloading time will also reduce.

Small businesses

1

With less search traffic and queues, perception of the area improves hence there are more visitors to the area.

High income car-users

3

High income associated with high value of time. Total journey time will be reduced.

People with a low income

0

 

People with poor access to public transport

0

 

All existing public transport users

1

Reduced search time use will reduce congestion and hence improve public transport reliability

An increase in public transport due to encouragement to use park and ride, and a modal transfer will have a knock on effect thus improving efficiency of public transport.

People living adjacent to the area targeted

1

They may benefit from reduced search traffic and parking queues.

People making high value, important journeys

1

Reduced travel time will result in time savings (easier parking and reduced congestion).

The average car user

3

Where they are able to shorten total travel time, and reduce fuel costs.

Also allows them to find the best parking space suited to their needs and location.

Barriers to implementation

There are no serious barriers to implementation, as shown below.

Scale of barriers

Barrier

Scale

Comment

Legal

-1

Not a legal but rather a partnership difficulty may occur where there is a high level of private car parking supply.

Finance

-3

Cost of technology, equipment and construction

Political

0

 

Feasibility

0

 

-1 = minimal barrier, -5 = most significant barrier

 

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Text edited at the Institute for Transport Studies, University of Leeds, Leeds LS2 9JT