Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models (2012) / Chapter Skim
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Pages 101-107
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From page 101... ...
C-1 This appendix discusses long-distance travel data for non-auto modes. Publicly available data on long-distance rail and bus travel is very limited at the present time to national statistics and major station/terminal traffic throughput volumes." For the purposes of this report, the research team analyzed only readily available data on longdistance air travel, intercity bus, and intercity passenger rail.
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From page 102... ...
C-2 Long-distance and Rural Travel Transferable parameters for Statewide Travel Forecasting Models the distances that are likely traveled for a given airport pair, including ground transportation. Looking up the airport-to-airport distance provided results that were comparable with nonstop miles (another option also known as radian measure)
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From page 103... ...
Modal-Based Travel data C-3 passenger surveys were conducted at six key airports throughout California. The surveys were conducted on the following dates: • Sacramento Airport -- Conducted August 17–18, 2005; • San Jose Airport -- Conducted August 24–25, 2005; • San Francisco Airport -- Conducted September 20–22, 2005; • Fresno Airport -- Conducted October 13, 2005; • Oakland Airport -- Conducted November 1, 2005 (outside the security area)
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From page 104... ...
C-4 Long-distance and Rural Travel Transferable parameters for Statewide Travel Forecasting Models C.2 Intercity Passenger Rail (Amtrak) Amtrak (National Railroad Passenger Corporation)
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From page 105... ...
Modal-Based Travel data C-5 An attempt was made to calculate the average trip length by region using the Amtrak-supplied O/D data via an alternate analytical process. This effort involved using a rail trip length matrix for counties along rail lines, matching the O/D data to the specific counties, and calculating averages using travel modeling software.
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From page 106... ...
C-6 Long-distance and Rural Travel Transferable parameters for Statewide Travel Forecasting Models bus depots. These operators additionally tend to use reservations systems and yield management techniques similar to airlines with fare purchases in the majority of cases being done in advance via the Internet.
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From page 107... ...
Modal-Based Travel data C-7 With an intercity bus market dominated by private service providers, it has proven difficult to gain access to operational data that would better pinpoint trip movements. It is anticipated that ATS and NHTS 2001 data on long-distance trips will show a strong income correlation with selecting intercity bus as a mode for long-distance travel.
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