Development of a medium-capacity guideway transit planning guide

Rapid population increase and booming economic growth have caused a significant escalation in car ownership in many cities, leading to additional or, multiple traffic problems on congested roadways. The increase of automobiles is generating a significant amount of congestion and pollution in many cities. It has become necessary to find a solution to the ever worsening traffic problems in our cities. Building more roadways is nearly impossible due to the limitations of right-of-way in cities. Studies have shown that guideway transit could provide effective transportation and could stimulate land development. The Medium-Capacity Guideway Transit (MCGT) is one of the alternatives to solve this problem. The objective of this research was to better understand the characteristics of MCGT systems, to investigate the existing MCGT systems around the world and determine the main factors behind the planning of successful systems, and to develop a MCGT planning guide. The factors utilized in this study were determined and were analyzed using Excel. A MCGT Planning Guide was developed using Microsoft Visual Basic. ^ A MCGT was defined as a transit system whose capacity can carry up to 20,000 passengers per hour per direction (pphpd). The results shown that Light Rail Transit (LRT) is favored when peak hour demand is less than 13,000 pphpd. Automated People Mover (APM) is favored when the peak hour demand is more than 18,000 pphpd. APM systems could save up to three times the waiting time cost compared to that of the LRT. If comfort and convenience are important, then using an APM does make sense. However, if cost is the critical factor, then LRT will make more sense because it is reasonable service at a reasonable price. If travel time and safety (accident/crush) costs were included in calculating life-cycle “total” costs, the capital cost advantage of LRT disappeared and APM could become very competitive. The results also included a range of cost-performance criteria for MCGT systems that help planners, engineers, and decision-makers to select the most feasible system for their respective areas. ^

Carmen de Burgos: La educacion de la mujer y la literatura de viajes como genero narrativo

This study analyzes Carmen de Burgos' European travel literature, and focuses on two themes: education and travel literature as a literary genre. An examination of her travel literature reveals two essential elements related to her view of education. The first is the influence that the European educational system had on her way of thinking, particularly with respect to the idea of tolerance, the practice of hygiene, and the important role of nature in education. The second is the development of her view of education as the foundation for the emancipation of women in Spain. Carmen de Burgos espoused the view that the reform of the Spanish educational system was the primary and foundational goal to further social, political and economic progress of women in Spain at the end of the 19th and beginning of the 20th Century. ^ In the second part of this dissertation I support the theory that her travel literature was her main source to convey to Spanish women the need for social change. I do this by analyzing four properties that are considered characteristic of women's travel literature: (1) the woman as a hero, (2) scientific authority of women, (3) feminine style, and (4) feminine content. I argue that Carmen de Burgos's travel literature uses these properties to facilitate her access to women audiences and to assure that this audience regarded her as an authoritative voice. ^

An investigation of location effect on trip production using artificial neural networks

As traffic congestion exuberates and new roadway construction is severely constrained because of limited availability of land, high cost of land acquisition, and communities' opposition to the building of major roads, new solutions have to be sought to either make roadway use more efficient or reduce travel demand. There is a general agreement that travel demand is affected by land use patterns. However, traditional aggregate four-step models, which are the prevailing modeling approach presently, assume that traffic condition will not affect people's decision on whether to make a trip or not when trip generation is estimated. Existing survey data indicate, however, that differences exist in trip rates for different geographic areas. The reasons for such differences have not been carefully studied, and the success of quantifying the influence of land use on travel demand beyond employment, households, and their characteristics has been limited to be useful to the traditional four-step models. There may be a number of reasons, such as that the representation of influence of land use on travel demand is aggregated and is not explicit and that land use variables such as density and mix and accessibility as measured by travel time and congestion have not been adequately considered. This research employs the artificial neural network technique to investigate the potential effects of land use and accessibility on trip productions. Sixty two variables that may potentially influence trip production are studied. These variables include demographic, socioeconomic, land use and accessibility variables. Different architectures of ANN models are tested. Sensitivity analysis of the models shows that land use does have an effect on trip production, so does traffic condition. The ANN models are compared with linear regression models and cross-classification models using the same data. The results show that ANN models are better than the linear regression models and cross-classification models in terms of RMSE. Future work may focus on finding a representation of traffic condition with existing network data and population data which might be available when the variables are needed to in prediction.

Hotel Remodeling Impact: Guest Satisfaction at a Family Resort Hotel

A case study of a family resort hotel demonstrated empirical relationships between guest satisfaction and their perception of the hotel's physical appearance, staff attitude, and the guests' age group. The 333 self-administered surveys also provided information about the guests' travel behavior and their experience at the hotel. The predictive regression model confined that the hotel was in need of remodeling, and that potential renovation projects will ultimately result in increased guest satisfaction.

Guest Editorial: Debunking the Myths

The modem retail travel industry has been plagued by myths created by popular media in an effort to create hype and readership, rather than report an accurate portrayal of the extraordinary health of the travel distribution system. Regardless of the structural changes in the travel industry, the outlook for growth and profitability of travel agencies and travel agents has never been better

The Reasonable Man on Tour

The "reasonable man" standard is one to which all rational persons should subscribe. The author relates the standard to the travel industry and the fate of travels.

Economic Growth and Recession Time Periods: Their Effect Upon Pleasure Travelers Visiting Florida Theme Parks

Two tourism-oriented travel samples were drawn from recent time periods that represented economic growth (expansion) and recession cycles in the O: S. economy. Analysis suggests that during the recession period, a greater percentage of theme park visitors chose to travel by air. Second, theme park travelers were more likely to visit friends or fami4 during the recession period. Third, recession theme park travelers were 10 years older, on the average, than their rapid growth counterparts. The average age difference of theme park visitors was found to be significantly different during cyclical economic periods. Research findings support the need for additional studies that segment using generational markets

The Relationship between Leisure Traveler’s Hotel Attribute Satisfaction and Overall Satisfaction

Manystudies have been conducted about hotel attributesrelated tothehotel choice decision as a part ofacustomer’s pre- purchase behavior(Dolnicar&Otter, 2003). Althoughit iscritical for hotel managerstounderstand post-trip behavior because such behaviorsmaydirectlyinfluence their futurebehavior, therearefew researchstudieswhich examine hotel attributesrelated to acustomer’spost-trip behavior.This studyteststhe relationship between leisure traveler’shotel attribute satisfaction and overall satisfaction in the post-trip behaviorperspectiveina hotel setting andexaminestherelative impactofhotel attributesatisfaction in influencing overall satisfaction. Multiple regressionwas used totestthe relationship and hotel attribute satisfaction isan important antecedent tooverall satisfaction. Theoretical and practical implications ofthe studyare discussed.

Demographic, Behavioral and Perceptual Comparisons of U.S Visitor Experience with Group Package Tours and Free Independent Travel to China

U.S. visitor demand for the China travel experience is anticipated to rise significantly through 2105, causing the Chinese government to employ 100 million service providers over the next six years and raising concern about service delivery and perceptions of the on-site China experience. In an effort to better understand these issues concerning U.S. visitors, this study investigated two specific types of U.S. travelers to China: Group Package Tour (GPT) visitors and Free Independent Travel (FIT) visitors. Results indicated that GPT visitors were more likely to be older and have higher household income than FIT visitors. Four trip-related characteristics of GPT and FIT visitors were found to be significantly different, with GPT visitors showing higher levels of satisfaction with the overall China on-site travel experience.