The validity of the influence of urban form on travel behavior has been a topic of interest in travel behavior research. Empirical research shows that urban form influences travel behavior causing less travel impacts. However, according to the conventional travel impact assessment following the ITE?s (Institute of Transportation Engineers) Trip Generation Handbook, developments with higher levels of urban form measures will generate a greater travel impacts because they generate higher number of trips. The ITE Trip Generation Handbook is typically used as a guideline to estimate the number of trips generated by a development. The hypothesis made in the present research is that a development defined with higher levels of land use mix, street connectivity and residential density will generate a higher number of trips because of the greater accessibility but they will be shorter in length. Therefore, the effective distance travelled will be less even though higher numbers of trips are generated. Considering the distance travelled on a roadway will be an appropriate unit for measuring the travel impacts, the research argues that VMT (Vehicle Miles Travelled) can be a better measurement unit than the number of trips to validate the influence of urban form on travel behavior.

Since through trips can be a significant portion of travel in a study area, estimating them is an important part of travel demand modeling. In the past, through trips have been estimated using external surveys. Recently, external surveys were suspended in Texas, so Texas transportation planners need a way to estimate through trips without using external surveys. Other research in the area has focused on study areas with a population of less than 200,000, but many Texas study areas have a population of more than 200,000. This research developed a set of two logit models to estimate through trips for a wide range of study area sizes, including larger study areas. The first model estimates the portion of all trips at an external station that are through trips. The second model distributes those through trips at one external station to the other external stations. The models produce separate results for commercial and noncommercial vehicles, and these results can be used to develop through trip tables. For predictor variables, the models use results from a very simple gravity model; the average daily traffic (ADT) at each external station as a proportion of the total ADT at all available external stations; the number of turns on the routes between external station pairs; and whether the route is valid, where a valid route is one that passes through the study area and does not pass through any other external stations. Evaluations of the performance of the models showed that the predictions fit the observations reasonably well; at least 68 percent of the absolute prediction errors for each model and for the models combined were less than 10 percent. These results indicate that the models can be useful for practical applications.

This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand the trip underreporting that occurs. The methodology presented here builds on previous research by adding additional variables to the logistic regression model that might be significant in contributing to underreporting, specifically, trip purpose. Understanding the trip purpose is crucial in transportation planning because many of the transportation models used today are based on the number of trips in a given area by the purpose of a trip. The methodology used here was applied to two study areas in Texas, Laredo and Tyler-Longview. In these two study areas, household travel survey data and GPS-based vehicle tracking data was collected over a 24-hour period for 254 households and 388 vehicles. From these 254 households, a total of 2,795 trips were made, averaging 11.0 trips per household. By comparing the trips reported in the household travel survey with those recorded by the GPS unit, trips not reported in the household travel survey were identified. Logistic regression was shown to be effective in determining which household- and trip-related variables significantly contributed to the likelihood of a trip being reported. Although different variables were identified as significant in each of the models tested, one variable was found to be significant in all of them - trip purpose. It was also found that the household residence type and the use of household vehicles for commercial purposes did not significantly affect reporting rates in any of the models tested. The results shown here support the need for modeling trips by trip purpose, but also indicate that, from urban area to urban area, there are different factors contributing to the level of underreporting that occurs. An analysis of additional significant variables in each urban area found combinations that yielded trip reporting rates of 0%. Similar to the results of Zmud and Wolf (2003), trip duration and the number of vehicles available were also found to be significant in a full model encompassing both study areas.

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Business travel is the most important part of tourism in the world. International business travel market is growing quickly now, especially in China. Since China first opened its door to international tourism in 1978, incoming visits have risen sharply. In 2002, China became the member of WTO. Then, rapid economic growth continues to fuel the business market. The World Tourism Organization forecasts that China will become the leading tourist destination in the world by 2020. This thesis firstly make a research of the expending course of business travel in the world from a globalization perspective. Second, I focus on the development of China¡¦s business travel market and industry. Finally, I analyze the case of American Express in China¡¦s business travel market. Wish this could be a referable resource for the investors in China¡¦s business travel market.

Thesis (M.S.)--University of North Texas, August, 2009. / Title from title page display. Includes bibliographical references.

Thesis (M.A.)--York University, 2007. Graduate Programme in Interdisciplinary Studies. / Typescript. Includes bibliographical references (leaves 173-183). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR45924

Thesis (M. Sc. in Transportation Technology and Policy)--University of California, Davis, 2000. / "September 2000." Includes bibliographical references (p. 147-150). Also available online via the ITS Davis website (www.its.ucdavis.edu).

Thesis (M.A. ) -- University of Texas at Arlington, 2008.

Thesis (M. Econ.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 20-22).