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Public Transport

Description of Project

In 1999 the city of Helsinki, Finland, implemented a public transport telematics system incorporating real-time passenger information, bus and train priorities at traffic signals, and schedule monitoring. A bus line and a tram line were selected as test cases for the new system.

Purpose of Project

The project was intended to enhance transit operations for the two test lines by reducing delays in public transportation services, improving the regularity and punctuality of the service, and providing enhanced information. The primary recipients of these benefits were the users of the bus line and tram line. The transit agency benefited from an increase in efficiency of the two transit lines. The pilot system made it possible to remove a bus from the bus line while keeping the same schedule.

Uses of Results

The results of the analysis can be used to evaluate future ITS strategies in public transportation. As the pilot system was implemented on only two transit lines, the study could help transportation decision makers select other transit lines for ITS applications.

Agency Perspective

The Ministry of Transport and Communications in Finland has set a goal to increase public transport's market share in urban areas. A public transportation Intelligent Transportation System provides a step towards that goal.

Base Case

The base case considered was the operation of the two transit lines without the pilot Intelligent Transportation System.

Alternatives Considered

The only alternative considered was the operation of the two transit lines with the pilot Intelligent Transportation System. This is the case that was actually implemented in 1999. Therefore, this benefit-cost analysis is comparing the current case to the previous case.

Type of Analysis

A benefit-cost ratio was used to compare the benefits and costs between the two cases.

Geographic Scope

The project is located in Helsinki, Finland. The analysis considered users of the two transit lines for user benefits. The environmental benefits analyzed would involve the regions surrounding the two transit lines.

Time Period for Analysis

This study considered a time period of 10 years of operation for the pilot ITS beginning in 1999.

Benefits, Magnitude, and Value

Using a $3.70/h value of time, the total annual time cost savings were estimated to be $375,000. This time savings is due largely to signal prioritization along the two transit lines.

Per-kilometer operating costs of a bus in Helsinki were estimated at $1.00/km. Using this figure, the annual savings in operating costs were calculated at $14,000 per year.

The time savings on the bus line also allowed operators to remove a bus from the line while maintaining the same schedule. The theoretical savings in bus use was found to be 0.5 buses for this line, so 1/2 the vehicle-related costs of one bus were saved: a savings of $17,000 per year.

Emissions-related savings were found to be approximately $200 annually, which was considered insignificant for the analysis.

Total benefits for a 10-year period were found to be $2,600,000.

Costs

The costs of implementing the system were approximately $790,000, distributed as follows:
  • Displays at stops - $174,000
  • In-vehicle systems - $245,000
  • Signal devices and the priority system - $103,000
  • Management system with the radio network - $270,000

Maintenance and operation costs of the system were estimated at 8% of the investment.

Analysis

B/C = 3.3

Sensitivity Analysis Performed

No sensitivity analysis was performed.

Models Used

Because the system is already in use, the numbers used for transit ridership were based on empirical data.

Critique — Strengths and Weaknesses

This analysis provided a fairly comprehensive list of benefits and costs for the pilot public transportation Intelligent Transportation System. The delay imposed upon cross-traffic drivers due to the signal priority system was not calculated. Therefore, it is unknown how this delay would affect the benefits of the project. However, the decrease in delay of drivers at intersections along the transit routes could offset it. Also, some benefits of the project were not economically quantifiable. For example, ridership increased on both transit lines in this study, with half coming from other modes. Although this change does not lead towards large economic gains, it does represent a step towards the Ministry's goal of increasing transit's market share in urban areas.

Source

David Brownstone and Kenneth Small (2005), “Valuing Time And Reliability: Assessing The Evidence From Road Pricing Demonstrations,” Transport. Research A, Vol. 39 (www.elsevier.com), May, pp. 279-293.

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Chun-Hung Peter Chen and George A. Naylor (2011), “Development of a Mode Choice Model for Bus Rapid Transit in Santa Clara County, California,” Journal of Public Transportation, Vol. 14, No. 4 (www.nctr.usf.edu); at www.nctr.usf.edu/wp-content/uploads/2011/12/JPT14.4.pdf.

DfT (2006), Transport Analysis Guidance, Integrated Transport Economics and Appraisal, Department for Transport (www.webtag.org.uk/index.htm).

Katrin Dziekan and Karl Kotterhoff (2007), “Dynamic At-stop Real-Time Information Displays For Public Transit: Effects on Customers,” Transportation Research A, Vol. 41, Issue 6 (www.elsevier.com/locate/tra), pp. 489-501. Also see Customer Perceptions And Behavioural Responses To IT-Based Public Transport Information, Banverket www3.banverket.se/raildokuffe/pdf/MN2158.pdf

Laura Eboli and Gabriella Mazzulla (2009), “A New Customer Satisfaction Index for Evaluating Transit Service Quality,” Journal of Public Transportation, Vol. 12, No. 3, pp. 21-38; at www.nctr.usf.edu/jpt/pdf/JPT12-3.pdf.

ECONorthwest and PBQD (2002), Estimating the Benefits and Costs of Public Transit Projects, TCRP Report 78, TRB (www.trb.org); at http://gulliver.trb.org/publications/tcrp/tcrp78/index.htm.

Ryan N. Fries, Anne E. Dunning and Mashrur A. Chowdhury (2011), “University Traveler Value of Potential Real-Time Transit Information,” Journal of Public Transportation, Vol. 14, No. 2, pp. 29-50; at www.nctr.usf.edu/wp-content/uploads/2011/07/JPT14.2.pdf.

M. Lehtonen and R. Kulmala (2002), "Benefits of Pilot Implementation of Public Transport Signal Priorities and Real-Time Passenger Information." Transportation Research Record 1799, TRB, National Research Council, Washington, D.C., pp. 18-25.

Todd Litman (2007), Build for Comfort, Not Just Speed: Valuing Service Quality Impacts In Transport Planning, VTPI (www.vtpi.org); at www.vtpi.org/quality.pdf.

Todd Litman (2008), Valuing Transit Service Quality Improvements, Journal of Public Transportation, Vol. 11, No. 2, Spring 2008, pp. 43-64; at www.nctr.usf.edu/jpt/pdf/JPT11-2Litman.pdf; a more complete version is at www.vtpi.org/traveltime.pdf.

Todd Litman (2005), Evaluating Public Transit Benefits and Costs, VTPI (www.vtpi.org); at www.vtpi.org/tranben.pdf.

Katerina Moreland, et al. (2011), “Transit System Evaluation Process: From Planning To Realization,” ITE Journal (www.ite.org), Vol. 81, No. 10, pp. 33-39; at http://sdite.org/Other/2011_SDITE_Clemson_Bartman_Student_Paper_Competition_TRANSIT_SYSTEM_EVALUATION_PROCESS.pdf.

TCRP (2011), Use and Deployment of Mobile Device Technology for Real-Time Transit Information , Synthesis 91, Transit Cooperative Research Program, Transportation Research Board (www.trb.org); at http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_syn_91.pdf.

Glen Weisbrod and Arlee Reno (2009), Economic Impact Of Public Transportation Investment, American Public Transportation Association (www.apta.com); at www.apta.com/resources/reportsandpublications/Documents/economic_impact_of_public_transportation_investment.pdf.

 

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