This report presents a top-down methodology to forecast annual international flight operations at sixty-six U.S. airports, whose combined operations accounted for 99.8% of the total international passenger flight operations in National Airspace System (NAS) in 2004. The forecast of international flight operations at each airport is derived from the combination of passenger flight operations at the airport to ten World Regions. The regions include: Europe, Asia, Africa, South America, Mexico, Canada, Caribbean and Central America, Middle East, Oceania and U.S. International. In the forecast, a "top-down" methodology is applied in three steps. In the fist step, individual linear regression models are developed to forecast the total annual international passenger enplanements from the U.S. to each of nine World Regions. The resulting regression models are statistically valid and have parameters that are credible in terms of signs and magnitude. In the second step, the forecasted passenger enplanements are distributed among international airports in the U.S. using individual airport market share factors. The airport market share analysis conducted in this step concludes that the airline business is the critical factor explaining the changes associated with airport market share. In the third and final step, the international passenger enplanements at each airport are converted to flight operations required for transporting the passengers. In this process, average load factor and average seats per aircraft are used. The model has been integrated into the Transportation Systems Analysis Model (TSAM), a comprehensive intercity transportation planning tool. Through a simple graphic user interface implemented in the TSAM model, the user can test different future scenarios by defining a series of scaling factors for GDP, load factor and average seats per aircraft. The default values for the latter two variables are predefined in the model using 2004 historical data derived from Department of Transportation T100 international segment data. / Master of Science

Thesis advisor: Donald Cox / Does being a non-stop flight away from Silicon Valley help entrepreneurs access venture capital? With its abundance of researchers and investors, Silicon Valley leads the world in entrepreneurship. In Silicon Valley, venture capital investors (VCs) and startups benefit from proximity, forming strong relationships and meeting frequently in person. VCs often choose to focus their operations locally, bringing down the costs of monitoring investments. Not all entrepreneurs can locate themselves in this global hub and without a direct connection to Silicon Valley some may find it difficult to tap into the extensive resources clustered in the region. I show that startups operating in cities with non-stop connections to Silicon Valley benefit immensely from direct flights. I find that this connection matters more for cities outside the U.S. A new daily flight from Silicon Valley to an international city leads to $23 million of additional VC raised by startups in the region. / Thesis (BA) — Boston College, 2018. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Departmental Honors. / Discipline: Economics.

This study estimates the demand for domestic air travel services in the United States in order to calculate the fare and expenditure elasticities of demand. We segmented the market according to number of operating airlines, distances and traveler types. Using Seemingly Unrelated Regression to estimate the Almost Ideal Demand System (AIDS), we find that the expenditure and uncompensated own-fare elasticities are around unity and consistent with the previous literature. Results reveal a tendency of uncompensated own-fare elasticity to decrease as distance increases, and a tendency of uncompensated own-fare elasticity to increase as number of airlines increases. Due to few observations, business travelers' results are not reliable to make any conclusion. Leisure travelers' results are closer to all travelers' results.

Thesis--PlanA (M.S.)--University of Wisconsin--Stout, 2003. / Includes bibliographical references.

The air transport industry is at present subject to dramatic traffic growth, which is expected to triple in the next 20 years. The industry must attempt to meet this unavoidable challenge by somehow accommodating the increase in passenger flow. This thesis proposes to examine how automation devices may assist in meeting this challenge by facilitating passenger clearance. They would do so by improving the lengthy, formalistic, and overly-bureaucratic, immigration and customs procedures. A myriad of different legal issues are engaged by these initiatives. Although many of them are mentioned throughout this thesis, the core legal analysis focuses on the challenge to privacy triggered by these endeavours, and the conflicting interests of individuals and industry players. Finally, a proposal to eliminate, or at least to reduce, this conflict is recommended.

People often make social-related trips to perform activities with their friends. An individual's group of friends can be characterized by his or her social network. While traditional social network data collection is time-consuming and dependent on memory recollection, new online social networking sites may address these shortcomings. This research focuses on the use of tie-strength, the strength of an individual's relationships in his or her social network, to characterize friendships and how this influences an individual's air travel behavior. Four candidate weighting schemes were developed using data collected from a web-based survey which included demographic information, an air travel diary, and friendship information retrieved from Facebook.com. The candidate weight matrices were then tested in a spatial Durbin count model (social model). The results of this study are threefold. First, candidate weighting schemes which consider mutual friendship (i.e. the number of mutual friends two people have in common) exclusively produced higher log-likelihoods than weighting schemes which also consider whether individuals are direct friends (i.e. whether the two individuals are friends themselves). Second, the results of the social model were compared with those of a non-social model. These results suggest that there exist major flaws in using a non-social model to represent variables which may be socially dependent and correlated. Finally, results suggest that individuals tend to have friends who, on average, make more trips than they do. With a growing number of people using online social networks, exploring and understanding friendship influences on travel behavior will help the transportation industry better recognize future travel needs.

MBA professional report (Master of Business Administration)--Naval Postgraduate School, December 2007. / "December 2007." Advisor(s): Brook, Douglas A. ; Hensel, Nayantara D. Performed by Naval Postgraduate School, Monterey, CA. "Submitted in partial fulfillment of the requirements for the degree of Master of Business Administration from the Naval Postgraduate School, December 2007."--P. iii. Includes bibliographical references (p. 47-49). Also available online from the Naval Postgraduate School (NPS), Dudley Knox Library site and the DTIC Online site.

No description available.

The point of departure for this thesis is a case study of Linköping University and its goal to reduce air travel carbon emissions by 30% by 2024 compared to the year 2019 level. The aim of this study is to identify aspects that influence current academic work-related travel behaviour within the “Three spheres of transformation” to explore how changes on different levels would support or hinder the implementation of the air travel carbon emission reduction goal. As human activities have been distinctly linked to climate change, it can be justified to address human behaviour concerning climate change mitigation mechanisms. To fulfil the research aim, interviews with Linköping University’s employees were conducted and the results were analysed by applying the “Three spheres of transformation” framework and the main findings from the human behaviour field. Several aspects that affect travel behaviour were identified in all three spheres of transformation that are interconnected. This study concludes that such aspects as increased data availability concerning each employee’s air travel carbon footprint to increase the understanding of the current situation and the shift in academic structures, especially in such aspects as internationalization and academic networking that can determine researcher evaluation criteria, can support the implementation of the goal. In addition to that, the shift in paradigms regarding academic success and travel in general, as well as the understanding of how these drivers affect human behaviour, can significantly support the implementation of the University’s goal and ensure a long-term change.

This work describes the transportation of excess sports equipment by air travel in particular with regard to the liability of air carriers in case of destruction, loss, damage or delay. Increased attention is paid to transportation to specific surf destinations, e.g. Canary Islands and island of Bali in Indonesia. The aim is to confirm or refute the unsatisfactory situation in the field of transportation of excess sports equipment by air travel, own survey was carried out for this purpose.