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Travel survey

Schonland, A. and William, P.W. (1996) Using the Internet for travel and tourism survey research Experiences from the Net Traveler Survey. Journal of Travel Research 35 (2), 81-87. [Pg.228]

US Department of Transportation (US DOT) (2008), 2001 National Household Travel Survey , www.bts.gov/publications. [Pg.325]

Transportation, Bureau of Transportation Statistics, http //www.bts.gov/publications/ national household travel survey/highlights of the 2001 nationaLhousehold travel survey/ index.html submit=view+Online. [Pg.58]

National Household Travel Survey (NHTS) http //nhts.oml.gov/index.shtml/ (accessed September 13, 2010) contains survey data about personal travel behavior, such as trip length, type of vehicle, and time, among others. The 2009 NHTS was launched with a new analysis tool that makes it easier for people to create their own tables. The online table designer is available for the 2009, 2001, and 1995 surveys. Frequently used tables are available for immediate download in HTML or XLS. Researchers can access more complete tables after registering with a log in. Earlier versions of the survey are available for download. [Pg.503]

Collia, D. V., J. Sharp and L. Giesbrecht (2003). The 2001 national household travel survey A look into the travel patterns of older Americans. J. Safe. Res., 34, 461-470. [Pg.267]

One very detailed analysis of pedestrian crash, injury, and fatality risk that considered the different exposure measures was conducted by Keall (1995). For his analysis he combined travel exposure data from the 1989- 1990 New Zealand Travel Survey with pedestrian accident data from the New Zealand national Traffic Accident Report files for the period 1988-1991. The travel survey data for children 5-9 years old were obtained from interviews with the parents or other adults in the same household. Their casualty data as a function of the pedestrian age is plotted in Figure 15-2. If we look first at the absolute numbers of pedestrians injured or killed as a function of age and gender we see the expected high numbers of young (5-19 years old) pedestrians. We also see that more males than females are injured or killed. [Pg.617]

Risk of Road Traffic Injuries for Pedestrians, Cyclists, Car Occupants and Powered Two-Wheel Users, based on a Road Trauma Registry and Travel Surveys, Rhone, France... [Pg.69]

A regional travel survey (RTS) provides data on travel practices of the resident population of the regiom Mobility is measured through all the trips made the day before the interview, for all means of transport used. A trip is defined as going from one place to another, where an activity is performed (round trips are split into two one-way trips). For each trip, the following data are collected means of transport used, origin and destination locations of the trip and times of departure and arrival. Distance is a posteriori estimated from an origin-destination matrix. [Pg.71]

Given that the RTS was carried out on weekdays (i.e. excluding weekends), outside school and pubhc holidays, in the winter period, we sought to correct for this in order to have year-round estimates. We introduced seasonality ratios these were estimated from the national household travel survey (NTS) performed in France in 2007-2008. We spht this survey into two periods (1) Ae RTS period , i.e. November-April on weekdays, outside school and pubhc holidays and (2) the outside RTS period , i.e. the rest of the year. We then divided the amount of each mobility measure associated with the outside RTS period by the total amount of the exposure measure associated with the RTS period to create seasonality ratios. These ratios were then applied to the mobility estimated from the RTS to obtain two full years of data between January 2005 and December 2006. [Pg.71]

Table 5.1. All-injury rates, according to mobility measure and ratios by type of road user, gender, age and location medical registry and road travel survey corrected for seasonality, Rhone County, 2005-2006... Table 5.1. All-injury rates, according to mobility measure and ratios by type of road user, gender, age and location medical registry and road travel survey corrected for seasonality, Rhone County, 2005-2006...
The regional and national travel surveys allow us to estimate mobility based on three criteria trips, distance traveled and time spent. The national surveys enable us to make a correction of the RTS that was restricted to the wirrter season (Noverrrber to April), on weekdays, outside weekends and public arrd school holidays. This correction for seasonality appears relevant indeed, the ratio was arourrd 1.5 for cyclists. [Pg.82]


See other pages where Travel survey is mentioned: [Pg.13]    [Pg.240]    [Pg.241]    [Pg.69]    [Pg.70]    [Pg.71]    [Pg.73]    [Pg.83]   
See also in sourсe #XX -- [ Pg.69 ]




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