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Page 120
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
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Page 122
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
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Page 123
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
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Page 124
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
×
Page 124
Page 125
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
×
Page 125
Page 126
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2020. Minutes Matter: A Bus Transit Service Reliability Guidebook. Washington, DC: The National Academies Press. doi: 10.17226/25727.
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Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

120 1. Bates, J., Polak, J., Jones, P., and Cook, A. (2001). The Valuation of Reliability for Personal Travel. Transportation Research Part E, 37, pp. 191–229. 2. Rietveld, P., Bruinsma, D., and van Vuuren, D. (2001). Coping with Unreliability in Public Transport Chains: A Case Study for Netherlands. Transportation Research Part A, 35(6), pp. 539–559. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0965856400000069. 3. Abkowitz, M., Slavin, H., Waksman, R., Englisher, L., and Wilson, N. H. (1978). Transit Service Reliability, Transportation Systems Center Report No. UMTA-MA-06-0049-78-1. Urban Mass Transportation Admin- istration, U.S. Department of Transportation. 4. Pteg. (2014). Bus Punctuality: Towards a Structure that Can Deliver. Leeds, United Kingdom. Retrieved from http://www.urbantransportgroup.org/system/files/general-docs/pteg%20bus%20punctuality%20web%20 report%20June%202014_FINAL2.pdf. 5. Li, Y.-w. (2003). Evaluating the Urban Commute Experience: A Time Perception Approach. Journal of Public Transportation, 6(4), 3. 6. Kittleson and Associates, Inc., Parsons Brinckerhoff, Inc., KFH Group, Inc., Texas A&M Transportation Institute, Houston, and Arup. (2013). TCRP Report 165: Transit Capacity and Quality of Service Manual. Third Edition. Transportation Research Board of the National Academies, Washington, D.C. 7. Watkins, K., Ferris, B., Borning, A., Rutherford, S., and Layton, D. (2011). Where Is My Bus? Impact of Mobile Real-Time Information on the Perceived and Actual Wait Time of Transit Riders. Transportation Research Part A, 45, pp. 839–848. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/ S0965856411001030. 8. L. Tanf and Thakuriah, P. Ridership Effects of Real-Time Bus Information System: A Case Study in the City of Chicago, Transportation Research Part C, 22, pp. 146–161. 9. Brakewood, C., Macfarlane, G., and Watkins, K. (2015). The Impact of Real-Time Information on Bus Ridership in New York City. Transportation Research Part C: Emerging Technologies, 53, pp. 59–75. Retrieved from https://www.sciencedirect.com/science/article/pii/S0968090X15000297. 10. Coffel, K. (2013). TCRP Synthesis 105: Use of Market Research Panels in Transit. Transportation Research Board of the National Academies, Washington, D.C. 11. Giering, S. (2011). TCRP Synthesis 89: Public Participation Strategies for Transit. Transportation Research Board of the National Academies, Washington, D.C. 12. Watkins, K. (2015). TCRP Report 179: Use of Web-Based Customer Feedback to Improve Public Transit Services. Transportation Research Board, Washington, D.C. 13. Ingvardson, J. B., Nielsen, O. A., Raveau, S., and Nielsen, B. F. (2018). Passenger Arrival and Waiting Time Distributions Dependent on Train Service Frequency and Station Characteristics: A Smart Card Data Analysis. Transportation Research Part C: Emerging Technologies, Vol. 90, pp. 292–306. 14. Perk, V. and Foreman, C. (2001). Evaluation of First-Year Florida MPO Transit Capacity and Quality of Service Reports. Tampa: National Center for Transit Research, University of South Florida. Retrieved from http://intrans.iastate.edu/publications/_doc. 15. 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. Transportation Research Board of the National Academies, Washington, D.C. 16. Strathman, J. G. and Hopper, J. R. (1993). Empirical Analysis of Bus Transit On-Time Performance. Trans- portation Research Part A: Policy and Practice, 27(2), pp. 93–100. Retrieved from http://www.sciencedirect. com/science/article/pii/096585649390065S. References

References 121 17. Shiftan, Y. W. and Wilson, N. (1994). Absence, Overtime, and Reliability Relations in Transit Workforce Planning. Transportation Research Part A, 28(3), 245–258. 18. Tse, J., Flin, R., and Mearns, K. (2006). Bus Driver Well-Being Review: 50 Years of Research. Transportation Research Part F: Traffic Psychology and Behavior, 9(2), pp. 89–114. Retrieved from http://www.sciencedirect. com/science/article/pii/S13698478050. 19. Turnquist, M. A. and Bowman, L. A. (1980). The Effects of Network Structure on Reliability of Transit Service. Transportation Research Part B: Methodological, 14(1), pp. 79–86. Retrieved from http://www.science direct.com/science/article/pii/01912615809. 20. Cham, L. C. (2006). Understanding Bus Service Reliability: A Practical Framework Using AVL/APC Data. Massachusetts Institute of Technology. Retrieved from http://dspace.mit.edu/handle/1721.1/34381. 21. Diab, E. I. and El-Geneidy, A. M. (2013). 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Development of a Data-Driven Platform for Transit Performance Measures Using Smart Card and GPS Data, Journal of Transportation Engineering, Vol. 140, No. 12, 2014. 27. Evans IV, J. E. TCRP Report 95: Traveler Response to Transportation System Changes. Chapter 9— Transit Scheduling and Frequency. Transportation Research Board of the National Academies, Washington, D.C., 2004. 28. Boyle, D. K. TCRP Synthesis 117: Better On-Street Bus Stops. Transportation Research Board of the National Academies, Washington, D.C., 2015. 29. Ryus, P., Laustsen, K., Blume, K., Beaird, S., and Langdon, S. (2016). TCRP Report 183: A Guidebook on Transit-Supportive Roadway Strategies. Transportation Research Board, Washington, D.C. 30. Yao, B., Hu, P., Lu, X., Gao, J., and Zhang, M. (2013). Transit Network Design Based on Travel Time Reliability. Transportation Research Part C: Emerging Technologies, 43, pp. 233–248. Retrieved from http:// www.sciencedirect.com/science/article/pii/S096. 31. Chen, X., Yu, L., Zhang, Y., and Guo, J. (2009). Analyzing Urban Bus Service Reliability at the Stop, Route, and Network Levels. Transportation Research Part A, pp. 722–734. Retrieved from http://www.sciencedirect. com/science/article/pii/S09658564090006. 32. J. Schofer and Khattak A. (2014). SHRP 2 Report S2-L02-RR-1: Establishing Monitoring Programs for Travel Time Reliability. Transportation Research Board of the National Academies, Washington, D.C. 33. Lee, D.-H., Sun, L., and Erath, A. (2012). Study of Bus Service Reliability in Singapore Using Fare Card Data. 12th Asia-Pacific Intelligent Transportation Forum. Retrieved from http://www.researchgate.net/profile/ Lijun_Sun3/publication/249656894_Study_. 34. Bunker, J. M. (2013). Planning for Transit System Reliability Using Productive Performance and Risk Assessment. TRB 92nd Annual Meeting Compendium of Papers. Washington, D.C.: Transportation Research Board. Retrieved from https://eprints.qut.edu.au/56575/. 35. Boyle, D. K., Pappas, J., Boyle, P. Nelson, B., Sharfarz, D., and H. Benn, H. (2009). TCRP Report 135: Controlling System Costs: Basic and Advanced Scheduling Manuals and Contemporary Issues in Transit Scheduling. Trans- portation Research Board of the National Academies, Washington, D.C. 36. Hollander, Y. (2006). Direct Versus Indirect Models for the Effects of Unreliability. Transportation Research Part A: Policy and Practice, 40(9), 699–711. 37. Hong, Y. (2002). The Development of More Effective Operating Plans for Bus Service. Civil Engineering. Cambridge, MA: Massachusetts Institute of Technology. Retrieved from http://hdl.handle.net/1721.1/84840. 38. APTA BRT Operations Working Group. (2010). Operating a Bus Rapid Transit System. American Public Transportation Association. Retrieved from http://www.apta.com/resources/standards/Documents/APTA- BTS-BRT-RP-007-10.pdf. 39. Chakrabarti, S. and Giuliano, G. (2015). Does Service Reliability Determine Transit Patronage? 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122 Minutes Matter: A Bus Transit Service Reliability Guidebook 41. El-Geneidy, A., Horning, J., and Krizek, K. (2011). Analyzing Transit Service Reliability Using Detailed Data from Automatic Vehicle Locator Systems. Paper (08-2032) presented at the 90th Annual Meeting of the Transportation Research Board. Washington, D.C.: https://onlinelibrary.wiley.com/doi/full/10.1002/atr.134. 42. Xie, X., Chiabaut, N., and Leclercq, L. Improving Bus Transit in Cities with Appropriate Dynamic Lane Allocating Strategies. Procedia-Social and Behavioral Sciences 48 (2012): 1472–1481. 43. St. Jacques, K. and Levinson, H. S. (1997). TCRP Report 26: Operational Analysis of Bus Lanes on Arterials. TRB, National Research Council, Washington, D.C. Retrieved from http://onlinepubs.trb.org/onlinepubs/ tcrp/tcrp_rpt_26-a.pdf. 44. Ji, J., Guo, Y., and Yan, Y. (2013). Optimization Model of the Public Transit Network Based on Opera- tional Reliability. American Society of Civil Engineers. 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References 123 64. Parker, D. J. (2008). TCRP Synthesis 73: AVL Systems for Bus Transit: Update. Transportation Research Board of the National Academies, Washington, D.C. Retrieved from http://www.tcrponline.org/PDFDocuments/ tsyn73.pdf. 65. Byon, Y.-J., Cortés, C. E., Martinez C. F. J., Munizaga, M., and Zuniga, M. 2011. Transit Performance Monitoring and Analysis with Massive GPS Bus Probes of Transantiago in Santiago, Chile: Emphasis on Development of Indices for Bunching and Schedule Adherence. Presented at the 90th Annual Meeting of the Transportation Research Board, Washington, D.C. 66. Figliozzi, M. A., Feng, W.-C., Lafferriere, G., and Feng, W. A Study of Headway Maintenance for Bus Routes: Causes and Effects of “Bus Bunching” in Extensive and Congested Service Areas. OTREC-RR-12-09. Portland, OR: Transportation Research and Education Center (TREC), 2012. http://dx.doi.org/10.15760/trec.107. 67. Tribone, D., Block-Schachter, D., Salvucci, F. P., Attanucci, J., Wilson, N. H. M. (2014). Automated, Data- Driven Performance Regime for Operations Management, Planning, and Control. Transportation Research Record: Journal of the Transportation Research Board, No. 2415: 72–79. 68. Miller, E. J., Kriger, D. S., and Hunt, J. D. (1999). TCRP Report 48: Integrated Urban Models for Simulation of Transit and Land Use Policies: Guidelines for Implementation and Use. TRB, National Research Council, Washington, D.C. 69. Burkhardt, J. E., Koffman, D., and Murray, G. (2003). TCRP Report 91: Economic Benefits of Coordinating Human Service Transportation and Transit Services. Transportation Research Board of the National Acad- emies, Washington, D.C. 70. Qu, X., Oh, E., Weng, J., and Jin, S. (2014). Bus Travel Time Reliability Analysis: A Case Study. Proceedings of the Institution of Civil Engineers – Transport, 167(3), pp. 178–184. Retrieved from http://www.icevirtual- library.com/content/article/10.1680. 71. Multisystems, Inc, Mundle & Associates, Inc., and Simon & Simon Research and Associates, Inc. (2003). TCRP Report 94: Fare Policies, Structures, and Technologies: Update. Transportation Research Board of the National Academies, Washington, D.C. 72. Larwin T. F. and Koprowski, Y. (2012). TCRP Synthesis 96: Off-Board Fare Payment Using Proof-of-Payment Verification. Transportation Research Board of the National Academies, Washington, D.C. 73. Martin, P. C. (2006). TCRP Synthesis 64: Bus Use of Shoulders. Washington, D.C.: Transportation Research Board of the National Academies. Retrieved from http://www.tcrponline.org/PDFDocuments/tsyn64.pdf. 74. Martin, P., Levinson H. S., and Texas Transportation Institute. (2016). TCRP Report 151: A Guide for Implementing Bus On Shoulder (BOS) Systems. Transportation Research Board of the National Academies, Washington, D.C. 75. van Oort, N. and van Nes, R. (2005). Service Regularity Analysis for Urban Transit Network Design. Prepared for the 10th International Conference on Computer-Aided Scheduling of Public Transport. 76. Recommended Practice for Transit Bus Operator Training. (2007). American Public Transit Association (APTA). https://www.apta.com/wp-content/uploads/Standards_Documents/APTA-BTS-BO-RP-001-07.pdf.

Abbreviations and acronyms used without definitions in TRB publications: A4A Airlines for America AAAE American Association of Airport Executives AASHO American Association of State Highway Officials AASHTO American Association of State Highway and Transportation Officials ACI–NA Airports Council International–North America ACRP Airport Cooperative Research Program ADA Americans with Disabilities Act APTA American Public Transportation Association ASCE American Society of Civil Engineers ASME American Society of Mechanical Engineers ASTM American Society for Testing and Materials ATA American Trucking Associations CTAA Community Transportation Association of America CTBSSP Commercial Truck and Bus Safety Synthesis Program DHS Department of Homeland Security DOE Department of Energy EPA Environmental Protection Agency FAA Federal Aviation Administration FAST Fixing America’s Surface Transportation Act (2015) FHWA Federal Highway Administration FMCSA Federal Motor Carrier Safety Administration FRA Federal Railroad Administration FTA Federal Transit Administration HMCRP Hazardous Materials Cooperative Research Program IEEE Institute of Electrical and Electronics Engineers ISTEA Intermodal Surface Transportation Efficiency Act of 1991 ITE Institute of Transportation Engineers MAP-21 Moving Ahead for Progress in the 21st Century Act (2012) NASA National Aeronautics and Space Administration NASAO National Association of State Aviation Officials NCFRP National Cooperative Freight Research Program NCHRP National Cooperative Highway Research Program NHTSA National Highway Traffic Safety Administration NTSB National Transportation Safety Board PHMSA Pipeline and Hazardous Materials Safety Administration RITA Research and Innovative Technology Administration SAE Society of Automotive Engineers SAFETEA-LU Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (2005) TCRP Transit Cooperative Research Program TDC Transit Development Corporation TEA-21 Transportation Equity Act for the 21st Century (1998) TRB Transportation Research Board TSA Transportation Security Administration U.S. DOT United States Department of Transportation

M inutes M atter: A Bus Transit Service Reliability G uidebook TCRP Research Report 215 TRB TRA N SPO RTATIO N RESEA RCH BO A RD 500 Fifth Street, N W W ashington, D C 20001 A D D RESS SERV ICE REQ U ESTED ISBN 978-0-309-48175-5 9 7 8 0 3 0 9 4 8 1 7 5 5 9 0 0 0 0

Minutes Matter: A Bus Transit Service Reliability Guidebook Get This Book
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Transit reliability is critical to the operation and attractiveness of public transportation services. With the current unprecedented evolution in transportation services, including new competition from mobility service providers such as Uber and Lyft, improving transit reliability has taken on an even greater level of importance.

The TRB Transit Cooperative Research Program's TCRP Research Report 215: Minutes Matter: A Bus Transit Service Reliability Guidebook details eight steps that a transit agency can undertake to develop and maintain a Reliability Improvement Program.

There is also a Power Point presentation that provides an overview of the project accompanying the report and a supplemental report, TCRP Web-Only Document 72: Developing a Guide to Bus Transit Service Reliability.

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