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From page 14... ... 14 In the context of statewide forecasting, rural trip-making and long-distance intercity travel constitute important market segments. Information describing these markets and how they vary from state to state has historically been sparse, and many states do not have the resources to initiate original data collection to develop a set of model parameters. Read the entire page →
From page 15... ... Long-Distance and rural area Data Sources 15 the Michigan Travel Counts Study, conducted in 2004 and 2009, with both Michigan efforts including a retrospective component focused on trips of 100 miles or greater and sampling areas for rural travel. Following these main studies, the chapter includes details about other possible sources of rural or long-distance travel data, from recent and ongoing statewide and global positioning system (GPS) Read the entire page →
From page 16... ... 16 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models and proportion of nonwhite population, as stated in the ATS overview document. A sample of nonself-representing PSUs was selected to represent all of the PSUs in the stratum. Read the entire page →
From page 17... ... Long-Distance and rural area Data Sources 17 travelers. ATS calculated trip distance based on trip origin (zip code centroid) Read the entire page →
From page 18... ... 18 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Within this mileage range, where air's mode share is negligible, information on the amount and type of travel is useful. Second, the 2001 NHTS, because of the lowered mileage threshold, included information about recurring trips, such as long commutes, weekend trips to second homes, and medical trips. Read the entire page →
From page 19... ... Long-Distance and rural area Data Sources 19 trips. Analysis of these parameters from the 1995 ATS and 2001 NHTS datasets results in similar estimates at the national level. Read the entire page →
From page 20... ... 20 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models one or two Add-Ons, such as West North Central, which includes the Add-Ons in South Dakota and Iowa, or East North Central, which includes the Add-Ons in Wisconsin and Indiana. Other divisions, such as Pacific, have only one Add-On, in this case the large sample in California. Read the entire page →
From page 21... ... Long-Distance and rural area Data Sources 21 As Table 2.3 shows, the number of person trips per person does not vary much between urban and rural households. Overall, people in urban households make on average 3.8 trips per day, compared to people in rural households who make 3.6. Read the entire page →
From page 22... ... 22 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Figure 2.4. 2009 NHTS state Add-Ons. Read the entire page →
From page 23... ... Long-Distance and rural area Data Sources 23 Analysis of the Florida 2009 NHTS Add-On surveys, conducted for the Florida DOT (Florida Department of Transportation and Cambridge Systematics, Inc., 2010) , indicated a significant difference in average trip length when comparing mean values for urban and rural households. Read the entire page →
From page 24... ... 24 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models 16,112 households were surveyed, of which 2,530 households are located in rural Ohio, defined as outside an MPO area. The survey was conducted using state-of-the-practice methods, including recruiting households to participate, mailing travel diaries to them, and retrieving the travel details by phone or mail. Read the entire page →
From page 25... ... Long-Distance and rural area Data Sources 25 this section are from NuStats, Technical Memorandum: 2002–2003 Ohio Long-Distance Travel Survey, prepared for the Ohio Department of Transportation, March 2005.) Over the 2-year study period, long-distance travel data were obtained from more than 8,000 households across the state, of which 6,113 were summarized in the report. Read the entire page →
From page 26... ... 26 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models report long-distance travel as compared to those from other parts of the state. This is due to their proximity to a larger urbanized area. Read the entire page →
From page 27... ... Long-Distance and rural area Data Sources 27 The survey documented basic demographics and 48 hours of weekday travel information for all household members regardless of age. For sampling purposes, the state was divided into seven geographic areas, including three rural areas: southern lower peninsula rural (2,059 households) Read the entire page →
From page 28... ... 28 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models • Travel Behavior Characteristics -- Origin and destination of travel, activities at origin and destination, travel mode(s) , travel party (if travel by auto) Read the entire page →
From page 29... ... Long-Distance and rural area Data Sources 29 Other pertinent findings from the 2004 Michigan long-distance surveys include • The majority of long-distance trips (60 percent) are to destinations within the state, and • In rural areas, most long-distance trips are for personal business. Read the entire page →
From page 30... ... 30 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Front Range Travel Counts Long-Distance Survey The Front Range Travel Counts Survey (FRTC) is a comprehensive study of the demographic and travel behavior characteristics of Colorado Front Range residents across four MPO regions: North Front Range (Fort Collins) Read the entire page →
From page 31... ... Long-Distance and rural area Data Sources 31 members in the 2 weeks prior to a reference date (logic being that the commute trips would be captured in the 24-hour travel logs while all other long-distance trips were less regular and thus might not be captured in the 24-hour travel logs) Read the entire page →
From page 32... ... 32 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models 17,040 households participated in the survey, documenting demographic and travel behavior characteristics in a 24-hour diary study, conducted using state-of-the-practice methods. Data elements included household size, income, vehicle ownership, employment status of each household member, and housing unit type as well as trip times, mode, activity at location, origin and destination, and vehicle occupancy. Read the entire page →
From page 33... ... Long-Distance and rural area Data Sources 33 • Atlanta Household Travel Surveys (2011) : – 580 long-distance trips (1%) Read the entire page →
From page 34... ... Characteristic State of Oregon State of Hawaii State of Florida Data Collection Methods Online survey Combined surveys and statistics from other sources Combined surveys and statistics from other sources, including international Universe (or Sample Size) 512 (sample) Read the entire page →
From page 35... ... Long-Distance and rural area Data Sources 35 (continued on next page) Table 2.9. Read the entire page →
From page 36... ... 36 Long-Distance and rural travel transferable parameters for Statewide travel Forecasting Models Table 2.9. (Continued) Read the entire page →

From page 14...

... 14 In the context of statewide forecasting, rural trip-making and long-distance intercity travel constitute important market segments. Information describing these markets and how they vary from state to state has historically been sparse, and many states do not have the resources to initiate original data collection to develop a set of model parameters.