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Page 98
Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2019. Air Demand in a Dynamic Competitive Context with the Automobile. Washington, DC: The National Academies Press. doi: 10.17226/25448.
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Page 98
Page 99
Suggested Citation:"Bibliography." National Academies of Sciences, Engineering, and Medicine. 2019. Air Demand in a Dynamic Competitive Context with the Automobile. Washington, DC: The National Academies Press. doi: 10.17226/25448.
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Page 99

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98 AAA. 2015. Your Driving Costs: How Much Are You Really Paying to Drive? (Brochure). http://exchange.aaa.com/ wp-content/uploads/2015/04/Your-Driving-Costs-2015.pdf Bradley, M., M. L. Outwater, and N. Ferdous. 2016. “Implementation of a Practical Model System to Predict Long-Distance Travel for the Entire U.S. Population.” Transportation Research Record: Journal of the Trans- portation Research Board, No. 2653, 9–17. http://trrjournalonline.trb.org/doi/abs/10.3141/2563-02 Brian Campbell and Associates. September 1977. Description of the Multiple Airport Demand Allocation Model, U.S. DOT/FAA Office of Aviation Policy. Bureau of Transportation Statistics (BTS). 2016. Passenger Travel Facts and Figures. U.S. DOT, Washington, D.C. Committee for a Study of Intercity Passenger Travel Issues and Opportunities in Short Haul Markets, 2016. Interregional Travel: A New Perspective for Policy Making. Transportation Research Board, Washington, DC. Coogan, M., D. Brand, M. Hansen, H. Kivett, J. Last, R. Marchi, M. S. Ryerson, M. J. Taylor, and L. Thompson. 2015. ACRP Report 118: Integrating Aviation and Passenger Rail Planning. Transportation Research Board of the National Academies, Washington, D.C. Coogan, M., G. Spitz, T. Adler, N. McGuckin, R. Kuzmyak, and K. Karash. 2018. TCRP Research Report 201: Understanding Changes in Demographics, Preferences, and Markets for Public Transportation. Transportation Research Board, Washington D.C. FAA. 2016. Terminal Area Forecast Summary: Fiscal Years 2015–2040. U.S. DOT, Washington, D.C. FHWA. 2015. Developing Refined Estimates of Intercity Bus Ridership: Final Report. Prepared by RSG, White River Junction, VT. Federal Railroad Administration, 2016. NEC Future: Tier 1 Final Environmental Impact Statement. US Depart- ment of Transportation, Washington, D.C. Greig, H. November 1987. “Airport Choice in a Multiple Airport Region.” Transportation Research Part A, Vol. 21, Issue 6, 439–449. Grubesic, T. H., and F. Wei. 2012. “Evaluating the Efficiency of the Essential Air Service Program in the United States.” Transportation Research Part A: Policy and Practice, Vol. 46, Issue 10, 1562–1573. https://doi.org/ 10.1016/j.tra.2012.08.004. Harish, A., C. Perron, D. Bavaro, J. Ahuja, M. D. Ozcan, C. Y. Justin, S. Briceno, B. J. German, and D. Mavris. 2016. “Economics of Advanced Thin-Haul Concepts and Operations.” Presented at 16th AIAA Avia- tion Technology, Integration, and Operations Conference, 13–17 June 2016, Washington, D.C. https:// www.researchgate.net/profile/Cedric_Justin/publication/303902771_Economics_of_Advanced_Thin-Haul_ Concepts_and_Operations/links/5955156a0f7e9b2da1b3c1e1/Economics-of-Advanced-Thin-Haul-Concepts- and-Operations.pdf Hess, S., and J. W. Polak. 2005. “Mixed Logit Modelling of Airport Choice in Multi-Airport Regions.” Journal of Air Transport Management, Vol. 11, Issue 2, 59 –68. Hess, S., T. Adler, and J. W. Polak. 2007. “Modelling Airport and Airline Choice Behaviour with the Use of Stated Preference Survey Data.” Transportation Research Part E, Vol. 43, 221–233. Innes, J. D., and D. H. Doucet. 1990. “Effects of Access Distance and Level of Service on Airport Choice.” Journal of Transportation Engineering, Vol. 116, Issue 4. https://doi.org/10.1061/(ASCE)0733-947X(1990) 116:4(507). Intel. June 1, 2017. “Accelerating the Future: The Economic Impact of the Emerging Passenger Economy.” https://newsroom.intel.com/newsroom/wp-content/uploads/sites/11/2017/05/passenger-economy.pdf Kanafani, A., and M. S. Abbas. 1987. “Local Air Service and Economic Impact of Small Airports.” Journal of Transportation Engineering, Vol. 113, Issue 1, 42–55. https://doi.org/10.1061/(ASCE)0733-947X(1987)113: 1(42). Bibliography

Bibliography 99 Miller, C. “What Caused the Short Haul Traffic Decline in the US?—the $34b Question.” August 2017. Available at linkedin.com/pulse/what-caused-short-haul-traffic-decline-us-34b-question-miller. MITRE Corporation. 2007. “Capacity Needs in the Aerospace System: An Analysis of Airports and Metro- politan Area Demand and Operational Capacity in the Future.” (The FACT 2 Report.) Federal Aviation Administration, Washington, D.C. Northeast Corridor Infrastructure and Operations Advisory Commission. 2015. Northeast Corridor Intercity Travel Study. Prepared by RSG. “Norway Aims for All Short-Haul Flights to Be 100% Electric by 2040.” January 17, 2018. The Guardian. https:// www.theguardian.com/world/2018/jan/18/norway-aims-for-all-short-haul-flights-to-be-100-electric-by-2040 Office of Inspector General. 2012. “US DOT Aviation Industry Performance: A Review of the Aviation Industry 2008–2011.” U.S. DOT, Washington, D.C. Outwater, M., Bradley, M., Ferdous, N., Trevino, S., and H. Lin. 2015. Foundational Knowledge to Support a Long-Distance Passenger Travel Demand Modeling Framework: Implementation Report. Federal Highway Administration. Program Support for Highway Policy Analysis. 2013. Traffic Analysis Framework Part IIA—Establishing Multimodal Interregional Passenger Travel Origin Destination Data. Federal Highway Administration, Washington, D.C. Prepared by RSG. RSG. 2015a. Developing Refined Estimates of Bus Ridership. Final Report DTFH6114P00097. Prepared for FHWA. RSG. 2015b. Foundational Knowledge to Support a Long-Distance Passenger Travel Demand Modeling Frame- work: Implementation Report. Exploratory Advanced Research Program DTFH61-10-R-00036. June 2015. https://www.fhwa.dot.gov/policyinformation/analysisframework/docs/long-distance_model_implementation_ report_final.pdf RSG, M. Coogan, AECOM, I. Ajzen, C. Bhat, B. Lee, M. Ryerson, and J. Schwieterman. 2016. NCRRP Report 4: Intercity Passenger Rail in the Context of Dynamic Travel Markets. Transportation Research Board, Washington, D.C. Ryerson, M. S. 2016. “Incentivize It and They Will Come? How Some of the Busiest U.S. Airports Are Building Air Service with Incentive Programs.” Journal of the American Planning Association, Vol. 82, Issue 4, 303–315. https://doi.org/10.1080/01944363.2016.1215257 Ryerson, M. S., and A. M. Kim. 2018. “A Drive for Better Air Service: How Air Service Imbalances Across Neighboring Regions Integrate Air and Highway Demands.” Transportation Research Part A: Policy and Practice, Vol. 114, 237–255. Sharkey, J. March 16, 2015. “Smaller Airports Struggle Against Big Airports’ Lures.” New York Times. https:// www.nytimes.com/2015/03/17/business/smaller-airports-struggle-for-a-place-on-the-route-map.html? Accessed June 2015. Thompson, D. February 28, 2013. “How Airline Prices Fell 50% in 30 Years (and Why Nobody Noticed).” The Atlantic (online). https://www.theatlantic.com/business/archive/2013/02/how-airline-ticket-prices- fell-50-in-30-years-and-why-nobody-noticed/273506/ Vu, K.-P. L., J. Lachter, V. Battiste, and T. Z. Strybel. September 2018. “Single Pilot Operations in Domestic Commercial Aviation.” Human Factors, Vol. 60, No. 6, 755–762. Wittman, M. D. 2014. “Public Funding of Airport Incentives in the United States: The Efficacy of the Small Community Air Service Development Grant Program.” Transport Policy 35, 220–228.

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Air Demand in a Dynamic Competitive Context with the Automobile Get This Book
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Future demand for shorter-range airline trips is unstable, affected by changes in technology as well as consumer preferences. Through application of new research tools that support scenario analysis, the TRB Airport Cooperative Research Program's ACRP Research Report 204: Air Demand in a Dynamic Competitive Context with the Automobile explores the potential effects of evolving automobile and aircraft technology and shifting consumer preferences on demand for shorter-range air trips.

While previous methods of demand forecasting have tended to see aviation in a vacuum relative to its key domestic competitor, the automobile, the analytic framework presented in this report facilitates comparison of the two competing modes under changing technology and demographic conditions as well as consumer choice.

The report is designed to help managers of smaller airports develop a better understanding of how consumers choose between flying out of a smaller hometown airport to connect to a flight at a larger airport and taking a longer automobile drive, bypassing the smaller airport, to fly directly from a larger airport.

Also see the accompanying ACRP Web-Only Document 38: Technical Appendix to Air Demand in a Dynamic Competitive Context with the Automobile.

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