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From page 47... ... 47 This, and subsequent sections on transferable parameters and benchmark statistics, will follow a similar format. The first subsection will provide benchmark statistics and parameters from existing statewide models. Read the entire page →
From page 48... ... 48 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models and their consultants. Some models differentiate short-distance from long-distance trip purposes while others do not. Read the entire page →
From page 49... ... trip Generation parameters and Benchmark Statistics 49 Table 4.2. Georgia long-distance internal and external trip rates by purpose, income, area, and persons per household. Read the entire page →
From page 50... ... 50 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Research and Innovative Technology Administration, Bureau of Transportation Statistics, 2006) fit into the context of this discussion. Read the entire page →
From page 51... ... trip Generation parameters and Benchmark Statistics 51 analysis of state DOT datasets would provide the same results as previously reported, due to weighting/expansion and tools used in the analysis. The Ohio statewide travel survey documentation provided to the study team did include person trip rates per household (7.78) Read the entire page →
From page 52... ... 52 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models separately for small cities, upper peninsula, northern lower peninsula, and southern lower peninsula. With the exception of the more heavily populated southern lower peninsula, nonurbanized households exhibit lower weighted trip rates than urban households. Read the entire page →
From page 53... ... trip Generation parameters and Benchmark Statistics 53 2010 Travel Survey of Residents of Canada As described in Appendix B, the Travel Survey of Residents of Canada (TSRC) is designed to measure the size and status of Canada's tourism industry at the national level. Read the entire page →
From page 54... ... 54 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models of these concerns are documented elsewhere in this report. All of the NHTS 2001 long-distance data, including state Add-On samples, were made available for use by the research team as well. Read the entire page →
From page 55... ... trip Generation parameters and Benchmark Statistics 55 calculated separately for annual and daily conditions. The reason for this is that long-distance trips are not an "every day" occurrence for most households. Read the entire page →
From page 56... ... 56 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Table 4.11 provides information from the 1995 ATS on weekday versus weekend long-distance travel based on three trip purposes. Not surprisingly, business and personal business trips are less likely to occur on weekends when compared to pleasure trips, of which over 50 percent involve weekend travel. Read the entire page →
From page 57... ... trip Generation parameters and Benchmark Statistics 57 • The impacts of 9/11 on travel resulted in a much lower share of air travel in the 2001 NHTS when compared against the 1995 ATS; and • Thresholds used to define long-distance trips differ between the two surveys with 1995 ATS defined as 100 miles or greater and 2001 NHTS as more than 50 miles. Chapter 2 of this Guidebook described the latter difference as a potential strong point of NHTS 2001 as a way of obtaining information on these mid-range 50–100 mile trips. Read the entire page →
From page 58... ... 58 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models research team was able to focus primarily on this one survey database, unlike the multiple and considerably older survey databases used to identify long-distance travel parameters. Second, the points of reference are quite different for rural trips. Read the entire page →
From page 59... ... trip Generation parameters and Benchmark Statistics 59 the 2009 NHTS dataset so it was easily addressed. Road Density was calculated using the 2005 National Highway Planning Network and geographic information systems (GIS) Read the entire page →
From page 60... ... 60 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models team had concerns over how to define and classify rural areas. It was thought that proximity to urbanized area, residential density, and roadway density allowed for a more objective classification of rural households. Read the entire page →
From page 61... ... trip Generation parameters and Benchmark Statistics 61 URBRUR URBAN HBRESDN Housing units per sq mile – Block group 0-999 (75,937) Read the entire page →
From page 62... ... 62 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models each category of every variable analyzed for estimating transferable trip production rates. The tables in Appendix H include both rural and urban trip rates using definitions unique to each attribute/rate set. Read the entire page →
From page 63... ... trip Generation parameters and Benchmark Statistics 63 Trip Generation: Rural Trip Production Rates From each of the four trip rate stratifications described in Section 4.2, URBAN showed the fewest trip rate anomalies (cells having higher or lower trip rates than expected compared to adjacent cells) Read the entire page →
From page 64... ... 64 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Cross-classification matrices are also provided for auto availability and number of workers, consistent with cross-classification schemes documented in NCHRP Report 716. Rural trip production rates for auto availability by household size are found in Table 4.17, while number of workers by household size are depicted in Table 4.18. Read the entire page →
From page 65... ... trip Generation parameters and Benchmark Statistics 65 In Other (Rural) Areas, All Trip Purposes Trip Rates HH Size Autos/HH 1 2 3 4 5+ Total 0 Veh 2.3 6.2 9.1 12.0 13.5 4.9 1 Veh 3.8 6.9 11.4 14.4 15.8 6.4 2 Veh 4.6 7.9 12.4 18.2 21.4 11.8 3+ Veh 4.6 8.1 13.8 19.5 25.1 15.3 Total 3.6 7.6 12.4 17.8 20.9 9.7 In Other (Rural) Read the entire page →
From page 66... ... 66 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models In Other (Rural) Areas, All Trip Purposes Trip Rates HH Size HH Size 1 2 3 4 5+ Total 0 worker 2.796 5.863 8.456 11.721 12.494 4.952 1 worker 4.249 7.436 11.247 15.733 18.245 8.750 2 worker 0.000 9.438 14.136 19.545 23.806 14.610 3+ worker 0.000 0.000 16.316 23.564 27.678 22.544 Total 3.605 7.607 12.452 17.868 20.962 9.783 In Other (Rural) Read the entire page →
From page 67... ... trip Generation parameters and Benchmark Statistics 67 The percentage of rural trips by purpose could be a useful statistic for use in model validation and reasonableness checking. Assuming the weighted number of surveys for 2009 NHTS adequately reflects the share of rural versus urban trips, the percentage of rural trips by purpose has been summarized in Table 4.19. Read the entire page →

From page 47...

... 47 This, and subsequent sections on transferable parameters and benchmark statistics, will follow a similar format. The first subsection will provide benchmark statistics and parameters from existing statewide models.