Tourist See Tourist Do: The Influence of Hollywood Movies and Television on Tourism Motivation and Activity Behavior

The purpose of this study was to investigate the influence of Hollywood movies and television (movies/TV) on US viewer’s motivation to travel to and participate in activities featured in Hollywood movies/TV productions. A survey was administered in an online format to a convenience sample of 433 respondents via Qualtrics. Factor analysis, correlation, and regression was employed to explore relationships between the variables. Findings identified a profile of Hollywood movies/TV viewers, sources of information used to determine destination choice, and level of involvement among viewers of Hollywood movies/TV productions. Additionally, this study explored the relationships between Hollywood movies/TV productions, tourist motivations, and the propensity to participate in activities featured. Findings indicate that Hollywood movies/TV productions have a positive impact on viewer involvement and that movie/TV related tourism is likely to be affected by movie and TV viewing preference and destination image. The results identify that the predictor “TV viewing behavior” is the strongest predictor of entertainmentmotivated tourism, followed by “destination image” and “movie viewing behavior.” Findings also indicate that “destination image” is the strongest predictor of movie-related activities and that the image portrayed in a movie does influence the viewer’s inclination to visit and participate in activities featured in a movie.

An improved framework for dynamic origin-destination (O-D) matrix estimation

This dissertation aims to improve the performance of existing assignment-based dynamic origin-destination (O-D) matrix estimation models to successfully apply Intelligent Transportation Systems (ITS) strategies for the purposes of traffic congestion relief and dynamic traffic assignment (DTA) in transportation network modeling. The methodology framework has two advantages over the existing assignment-based dynamic O-D matrix estimation models. First, it combines an initial O-D estimation model into the estimation process to provide a high confidence level of initial input for the dynamic O-D estimation model, which has the potential to improve the final estimation results and reduce the associated computation time. Second, the proposed methodology framework can automatically convert traffic volume deviation to traffic density deviation in the objective function under congested traffic conditions. Traffic density is a better indicator for traffic demand than traffic volume under congested traffic condition, thus the conversion can contribute to improving the estimation performance. The proposed method indicates a better performance than a typical assignment-based estimation model (Zhou et al., 2003) in several case studies. In the case study for I-95 in Miami-Dade County, Florida, the proposed method produces a good result in seven iterations, with a root mean square percentage error (RMSPE) of 0.010 for traffic volume and a RMSPE of 0.283 for speed. In contrast, Zhou's model requires 50 iterations to obtain a RMSPE of 0.023 for volume and a RMSPE of 0.285 for speed. In the case study for Jacksonville, Florida, the proposed method reaches a convergent solution in 16 iterations with a RMSPE of 0.045 for volume and a RMSPE of 0.110 for speed, while Zhou's model needs 10 iterations to obtain the best solution, with a RMSPE of 0.168 for volume and a RMSPE of 0.179 for speed. The successful application of the proposed methodology framework to real road networks demonstrates its ability to provide results both with satisfactory accuracy and within a reasonable time, thus establishing its potential usefulness to support dynamic traffic assignment modeling, ITS systems, and other strategies.

Visitor At-Destination Search for Travel-Related Services

The phenomenon of at-destination search activity and decision processes utilized by visitors to a location is predominantly an academic unknown. As destinations and organizations increasingly compete for their share of the travel dollar, it is evident that more research need to be done regarding how consumers obtain information once they arrive at a destination. This study examined visitor referral recommendations provided by hotel and non-hotel ''locals" in a moderately-sized community for lodging, food service, and recreational and entertainment venues.

How Do Tourist Guides Add Value to An Ecotour? Interpreting Interpretation in the State of Amazonas, Brazil

In Ecotourism, interpretation by a guide creates or shapes the experience for the tourist, differentiating one episode from another. As such, the guide S interpretation adds value to the tourism product and contributes to the visitor S experience. This paper discussed the role of interpretation by guides in the State of Amazonas, Brazil, finding in them patterns from which lessons may be drawn. Given the intangibility of the Ecotourism product, this paper argues that it is the guide who defines the quality of the product. The guide may draw the tourist toward or away from sustainable practices, and significantly contributes to the success or failure of the escotouristic venture. The State of Amazonas in Brazil already has guides, but this study questions their education and training in interpretive skills as well as their professional organization and working conditions

Canada as a Potential Vacation Destination for Florida Residents

Canada expends a large amount of money on tourism and advertising in the U.S., but growth has not kept up. The author surveys Floridians as to their attitudes toward Canada as a tourism destination.

“Namastey London”: Bollywood Movies and Their Impact on how Indians Perceive European Destinations

The aim of this study is to analyze the perception of European destinations through the eyes of Indian Bollywood film viewers to determine how perception is influenced by what is viewed in films. Researchers surveyed Indian consumers and collected 670 usable surveys. European destinations were divided into top five and bottom five destinations for Indian tourists, and data was then compared to world tourism statistics. Results indicate differences in destination preference among Bollywood viewers and worldwide tourist trends. Findings indicate that prominently featuring a landscape within Bollywood films can significantly impact Indians’ perception on the destinations’ image. European countries frequently portrayed in films have higher marks on multiple perception categories than those not featured in blockbuster Bollywood films.

The Impact of Different Types of Media on Tourists' Behavioral Intentions

The primary purpose of this study was to examine how much different types of media affect a tourist’s decision when choosing a destination to travel. Further, this study attempted to investigate the impact of the different types of media on a tourist’s behavioral intentions. A primary field survey was designed for this study to collect data and multivariate analysis of variance (MANOVA) was performed to analyze the data and test the hypotheses. As a result, the most influential media form for choosing a destination to travel was social media, while brochure ranked the last. Subsequently, demographic factors showed noticeable propensities for the different types of media. Lastly, media types had a significant impact on three behavioral intentions for traveling as well. Study findings are expected to provide valuable information to better utilize the media as a marketing tool for the tourism industry.