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Page 76
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2018. The Relationship Between Transit Asset Condition and Service Quality. Washington, DC: The National Academies Press. doi: 10.17226/25085.
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Page 77
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2018. The Relationship Between Transit Asset Condition and Service Quality. Washington, DC: The National Academies Press. doi: 10.17226/25085.
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Page 77
Page 78
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2018. The Relationship Between Transit Asset Condition and Service Quality. Washington, DC: The National Academies Press. doi: 10.17226/25085.
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Page 78

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76 References Anderson, R.; Condry, B.; Findlay, N.; Brage-Ardao, R.; and Li, H. (2013). Measuring and Valuing Convenience and Service Quality: A Review of Global Practices and Challenges from Mass Transit Operators and Railway Industries. Discussion Paper 2013.16. International Transport Forum at the Organisation for Economic Co-operation and Development (OECD). https://doi.org/10.1787/2223439X Balcombe, R. (2004). TRL Report 593: The Demand for Public Transport – A Practical Guide. TRL. BART Marketing and Research Department; and Corey, Canapary & Galanis Research. (2014). 2014 BART Customer Satisfaction Study. BART. Booz Allen Hamilton. (2010). Transit Economic Requirements Model User’s Guide. FTA. Douglas, N. (2016). NZTA Report 565: Pricing Strategies for Public Transport, Part 2: Literature Review. NZTA. Dowling, R.; Reinke, D.; Flannery, A.; Ryus, P.; Vandehey, M.; Petritsch, T.; and Bonneson, J. (2008). NCHRP Report 616: Multimodal Level of Service Analysis for Urban Streets. TRB. European Committee for Standardization (CEN). (2002). Transportation – Logistics and Services – Public Passenger Transport – Service Quality Definition, Targeting and Measurement. Standard EN13186. CEN. FTA. (2017). 2017 Asset Inventory Module Reporting Manual. FTA. Hendren, P.; Antos, J.; Carney, Y.; and Harcum R. (2015). “Transit Travel Time Reliability: Shifting the Focus from Vehicles to Customers.” In Transportation Research Record 2535. TRB. https://doi.org/10.3141/2535-04 Kittelson & Associates, Inc.; Parsons Brinckerhoff; KFH Group, Inc.; Texas A&M Transportation Institute; and ARUP. (2013). TCRP Report 165: Transit Capacity and Quality of Service Manual (3rd ed.). TRB. Kittleson & Associates. Inc.; Urbitran, Inc.; LKC Consulting Services, Inc.; Morpace International, Inc.; Queensland University of Technology; and Nakanishi, Y. (2003).TCRP Report 88: A Guidebook for Developing a Transit Performance-Measurement System. TRB. Littman, T. (2015). Evaluating Public Transit Benefits and Costs: Best Practices Guidebook. Victoria Transport Policy Institute (VTPI). McCollom, B., and Berrang, S. (2011). TCRP Synthesis 92: Transit Asset Condition Reporting. TRB. https:// doi.org/10.17226/14595 Melo, P.; Harris, N.; Graham, D.; Anderson, R.; and Barron, A. (2011). Determinants of Delay Incident Occurrence in Urban Metros. In Transportation Research Record 2216. TRB. https://doi.org/10.3141/2216-02 Morepace International, Inc., and Cambridge Systematics, Inc. (1999). TCRP Report 47: A Handbook for Measur- ing Customer Satisfaction and Service Quality. TRB. New Zealand Transport Authority. (2016). Economic Evaluation Manual. NZTA. Parasuraman, A.; Zeithaml, V.; and Berry, L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41. https://doi.org/10.2307/1251430 Parsons Brinckerhoff. (2012). Asset Management Guide. FTA Report 0027. FTA. Paterson, L. and Vautin, D. (2015). “Evaluating User Benefits and Cost-Effectiveness for Public Transit State-of- Good-Repair Investments.” Paper 15–207 presented at the 2015 TRB Annual Meeting. TRB. Reddy, A.; Lu, A.; Boguslavsky, M.; and Levine, B. (2014). “Designing New York City’s Key Performance Indicators to Improve Service Delivery and Operations.” In Transportation Research Record 2414. TRB. Richter, M.; Ilzig, K.; and Rudnicki, A. (2009). “Models for the Bus Headway Distribution in the Flow Behind a Traffic Signal.” In Proceedings of the 18th International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, Germany. Robert, W.; Reeder, V.; Lawrence, K.; Cohen, H.; and O’Neil, K. (2014a). TCRP Report 172: Guidance for Developing a Transit Asset Management Plan. TRB. Robert, W.; Reeder, V.; Lawrence, K.; Cohen, H.; and O’Neil, K. (2014b). Guidance for Developing the State of Good Repair Prioritization Framework and Tools: Research Report. Contractor’s Final Report for TCRP Project E-09A. TRB.

References 77 Ruan, M., and Lin, J. (2009). “An Investigation of Bus Headway Regularity and Service Performance in Chicago Bus Transit System.” Transport Chicago, Annual Conference. Small, K.; Noland, R.; Chi, X.; and Lewis, D. (1999). NCHRP Report 431: Valuation of Travel-Time Savings and Predictability in Congested Conditions for Highway User-Cost Estimation. TRB. Spy Pond Partners, LLC; McCollom Management Consulting, Inc.; Roney, M.; and Stowers, S. (2015). Rail Guide- way Performance and Facility Condition Measures: Review Report. Technical Report prepared for FTA. FTA. Spy Pond Partners; K. K. O. & Associates; Cohen, H.; and Barr, J. (2012). TCRP Report 157: State of Good Repair: Prioritizing the Rehabilitation and Replacement of Existing Capital Assets and Evaluating the Implications for Transit. TRB. Steer Davies Gleave. (1991). The Effects of Quality Improvements in Public Transport. Technical report prepared for the Wellington Regional Council. Transport for London (TfL). (2014). “JTM Explained (Updated April 2012).” Unpublished write-up provided by TfL. TfL. Volpe National Transportation System Center (VNTSC) Office of Research and Technology. (2015). Model and Data for Linking Asset Maintenance to Impacts on Riders. Draft technical report prepared for the Federal Transit Administration Office of Budget and Policy. Wardman, M., and Whelan, G. (2001). Valuation of improved railway rolling stock: A review of literature and new evidence. Transport Reviews, 21(4), 415–447. https://doi.org/10.1080/01441640010020115

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TRB's Transit Cooperative Research Program (TCRP) Research Report 198: The Relationship Between Transit Asset Condition and Service Quality documents the development of a quantitative method for characterizing service quality and demonstrates how this quantitative measure varies with changes in asset condition. It provides guidance on how asset condition and transit service quality relate in terms of investment prioritization.

Three Excel spreadsheets–a simplified Effective Journey Time (EJT) Calculator, a comprehensive EJT Calculator, and a worked example demonstrating the use of the comprehensive EJT Calculator—provide quantitative methods. Transit agencies may use this report and tools to better manage existing transit capital assets and make more efficient and effective investment decisions.

Disclaimer - This software is offered as is, without warranty or promise of support of any kind either expressed or implied. Under no circumstance will the National Academy of Sciences, Engineering, and Medicine or the Transportation Research Board (collectively "TRB") be liable for any loss or damage caused by the installation or operation of this product. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

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