Academic literature on the topic 'Itinerary choice'
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Journal articles on the topic "Itinerary choice"
Newman, Jeffrey, and Laurie Garrow. "Stacked Hybrid Discrete Choice Models for Airline Itinerary Choice." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 12 (October 3, 2020): 243–53. http://dx.doi.org/10.1177/0361198120953149.
Full textLhéritier, Alix, Michael Bocamazo, Thierry Delahaye, and Rodrigo Acuna-Agost. "Airline itinerary choice modeling using machine learning." Journal of Choice Modelling 31 (June 2019): 198–209. http://dx.doi.org/10.1016/j.jocm.2018.02.002.
Full textParker, Roger A. "An Agent-Based Simulation of Air Travel Itinerary Choice." Procedia Computer Science 109 (2017): 905–10. http://dx.doi.org/10.1016/j.procs.2017.05.419.
Full textCarrier, Emmanuel. "Modeling Joint Choice of Airline Itinerary and Fare Product." Transportation Research Record: Journal of the Transportation Research Board 2007, no. 1 (January 2007): 47–51. http://dx.doi.org/10.3141/2007-06.
Full textTheis, Georg, Thomas Adler, John-Paul Clarke, and Moshe Ben-Akiva. "Risk Aversion to Short Connections in Airline Itinerary Choice." Transportation Research Record: Journal of the Transportation Research Board 1951, no. 1 (January 2006): 28–36. http://dx.doi.org/10.1177/0361198106195100104.
Full textLurkin, Virginie. "Modeling in air transportation: cargo loading and itinerary choice." 4OR 15, no. 1 (June 18, 2016): 107–8. http://dx.doi.org/10.1007/s10288-016-0322-2.
Full textAdler, Thomas, C. Stacey Falzarano, and Gregory Spitz. "Modeling Service Trade-Offs in Air Itinerary Choices." Transportation Research Record: Journal of the Transportation Research Board 1915, no. 1 (January 2005): 20–26. http://dx.doi.org/10.1177/0361198105191500103.
Full textAcuna-Agost, Rodrigo, Eoin Thomas, and Alix Lhéritier. "Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices." Journal of Revenue and Pricing Management 20, no. 3 (March 22, 2021): 213–26. http://dx.doi.org/10.1057/s41272-021-00308-z.
Full textTsaur, Sheng-Hshiung, and Der-Huang Wu. "The Use of Stated Preference Model in Travel Itinerary Choice Behavior." Journal of Travel & Tourism Marketing 18, no. 4 (October 13, 2005): 37–48. http://dx.doi.org/10.1300/j073v18n04_03.
Full textB, Tanuja Choudhary, and Tulasi B. "Recommender system for personalised travel itinerary." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 4460. http://dx.doi.org/10.11591/ijece.v9i5.pp4460-4465.
Full textDissertations / Theses on the topic "Itinerary choice"
Theis, Georg Wilhelm. "Incorporating attitudes in airline itinerary choice : modeling the impact of elapsed time." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66854.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 158-161).
Network airlines traditionally try to minimize the elapsed time of their passengers in connecting travel, based on the assumption that longer elapsed times would make their itinerary less competitive and thus reduce their revenue potential in a given origin destination market. Contrary to the traditional assumption, we hypothesize that passengers assign a lower utility to connections close to the minimum connecting time published by airports. We hypothesize that there are three factors related to connection time that a customer might consider when choosing an itinerary: The risk of misconnection, the discomfort associated with rushing through an airport terminal, and the trust in an airline to provide reliable connections. Attitudes toward these constructs are latent and cannot be directly observed. In aggregate, we expect an n-shaped utility function for the time additional to the minimum connecting time, with increasing utility close to the minimum connecting time, followed by a time window of indifference, followed by decreasing utility due to value of time aspects. We first present a case study using airline booking data that shows that up to 25% of passengers in a sample market voluntarily choose a longer connection, all else equal. In the subsequent chapters, a model to evaluate systematically the impact of length of connecting time is developed. We extend an existing airline survey to incorporate this question. A stated preference experiment is designed and conducted to collect choice data. Psychometric indicators are used to capture attitudes that are explained with socio-demographics and trip characteristics in a multiple indicator-multiple causes (MIMC) model. The MIMC model is then combined with the choice model to simultaneously estimate an integrated choice and latent variable model, quantifying the interactions of latent attitudes and connecting time. The results demonstrate the non-monotonicity of connecting time utility and the disutility associated with short connecting times. The inclusion of the latent variables risk, rush and trust demonstrates the effect of these constructs on choice. Individuals who are risk averse, rush averse or have a low level of trust into airlines' scheduling reliability have a higher utility for slightly longer connecting times. This is the first research in the airline choice literature to demonstrate the nonlinearity of connecting time utility. It is also the first research to include attitudes into itinerary choice models, thereby providing a richer explanation for passenger airline choice. Airlines can use the findings to better align their service offerings with their customers' preferences and at the same time reduce their operational costs.
by Georg Wilhelm Theis.
Ph.D.
Carrier, Emmanuel 1973. "Modeling the choice of an airline itinerary and fare product using booking and seat availability data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46552.
Full textIncludes bibliographical references (p. 191-196).
Over the last ten years, the rapid growth of low-cost airlines and the development of web-based distribution of airline tickets have transformed the competitive environment in the airline industry worldwide. The relaxation of fares rules by low-cost airlines has disrupted the pricing and revenue management models of large network airlines. A better understanding of passenger choice behavior is now required to support the development of new strategies to compete more effectively in the current marketplace. In order to avoid the risk of bias associated with stated preference data, we focus in this research on how to develop a model of airline passenger choice based on booking data. Previous studies based on booking data have been limited to the sole choice of an airline itinerary and did not account for heterogeneity of behavior, a major characteristic of airline markets. This is due to the properties of booking data. For instance, only the chosen alternative is recorded in airline bookings and no information is available on other travel alternatives available at the time of the booking. Similarly, booking records contain no information on trip purpose that is traditionally used to segment airline markets. In this dissertation, we develop a modeling framework to overcome these limitations and extend booking-based passenger choice models to the joint choice of an airline itinerary and fare product. Booking data was combined with fare rules and seat availability data to incorporate the impact of pricing and revenue management and reconstruct the choice set of each booking. Characteristics of the traveler and the trip were retrieved from the booking records and used to replace trip purpose.
(cont.) They were included as explanatory variables of a latent class choice model in which several factors can be used simultaneously to segment the demand without necessarily dividing the bookings into many small sub-segments. In addition, a new formulation of a continuous function of time was proposed to model the time-of day preferences of airline travelers in short-haul markets. Instead of being set to a full 24 hours, the duration of the daily cycle was estimated to account for the low attractiveness of some periods of the day such as nighttime. Estimation results over a sample of 2000 bookings from three European short haul markets show that the latent class structure of the model and a continuous function of time led to a significant improvement in the fit of the model compared to previous specifications based on a deterministic segmentation of the demand or time-period dummies. In addition, the latent class model provides a more intuitive segmentation of the market between a core of time-sensitive business travelers and a mixed class of price-conscious business and leisure travelers. This research extends the scope of potential applications of passenger choice models to additional airline planning decisions such as pricing and revenue management. In particular, parameter estimates of the model were applied to forecast the sell-up behavior of airline passengers, a major input required by the newly proposed revenue management models designed to maximize revenues under less restricted fare structures.
by Emmanuel Carrier.
Ph.D.
Eriksson, Gabriella. "On Physical Relations in Driving: Judgements, Cognition and Perception." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100762.
Full textFörare bör göra bedömningar som relaterar till hastighet, såsom bedömningar av medelhastighet, risk, restid och bränsleåtgång. Dessa bedömningar är nödvändiga för att föraren ska kunna välja en optimal hastighet, men också för att allmänheten, politiker och andra intressenter som är involverade i trafikfrågor ska kunna fatta välgrundade beslut. Denna avhandling består av fyra delstudier där förares bedömningar av restid (Studie I och II), bränsleåtgång (Studie III) och medelhastighet (Studie IV) studeras i relation till faktiska fysikaliska mått. Tidigare enkätstudier har påvisat ett kognitivt bias i tidsvinstbedömningar vid höga och låga hastigheter som påverkar mänskligt beteende. Studie I visade att detta bias också förekommer i en primärt perceptuell motorisk uppgift där förarna i studien kör i en körsimulator. Studie II visade att dessa intuitiva tidsbedömningar kan förbättras genom att köra med en alternativ hastighetsmätare i bilen som indikerar den inverterade hastigheten i minuter per kilometer istället för hastigheten i kilometer per timme. I Studie III undersöktes bedömningar av bränsleåtgång vid hastighetsökningar och hastighetssänkningar, och resultaten visar att bedömningarna systematiskt avviker från faktisk bränsleåtgång. Ett intressant resultat var att lastbilsförare i allmänhet underskattade bränslebesparingen som kan göras till följd av en hastighetssänkning. Studie IV visade att subjektiva bedömningar av medelhastighet som avviker från objektiva medelhastigheter kan predicera vägval, vilket tyder på att systematiska fel i dessa bedömningar är robusta och kan predicera vägval. Sammanfattningsvis visar avhandlingen hur bedömningar av medelhastighet, tidsvinst och bränsleåtgång systematiskt avviker från fysikaliska mått. Resultaten har betydelse för modellering av resebeteende och design av förarstödssystem.
At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Submitted. Paper 3: Submitted.
Forato, Fernanda de Cássia. "Olhares de si, olhares de mundo: itinerários de formação na experiência do Lab_Arte de Fotografia." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/48/48134/tde-14122015-164640/.
Full textThis dissertation intends to discuss the potential of the photographic language as symbolic language and its relation to educational processes, through formation itinerary concept and the Pedagogy of Choice proposed by Marcos Ferreira-Santos e Rogério de Almeida. The involvement with photographic language, practice by non-photographers (persons who are interested by its language without professional intentions) can raise awareness and poetization processes for each individual eye about the world and oneself, echoing in the self-reflection processes and teachers formation. The research is based on reflections and experiences lived by Pedagogy and Teaching degree students at Faculdade de Educação da Universidade de São Paulo for six years in activities at Núcleo de Fotografia do Laboratório de Arte-Educação e Cultura (Lab_Arte) in the same institution.
Kamal-Idrissi, Assia. "Optimisation des réseaux aériens : analyse et sélection de nouveaux marchés." Thesis, Université Côte d'Azur, 2020. https://tel.archives-ouvertes.fr/tel-03177526.
Full textIn the airline industry, problems are various and complicated. Solving these problems aims at reducing costs and maximizing revenues. Revenues can be increased while improving the quality of service. For example, one way is to catch new passengers on existing flight connections or on new markets. The selection of new markets consists in determining network structure to operate, and to estimate passengers flow, their choice of itineraries as well as incomes and costs incurred by these decisions. Our research is about improving market planner engine. Milanamos develops an application for the analysis and simulation of markets intended for air-ports and airlines. It offers its customers a decision-making tool to analyze historical data andto simulate markets in order to find an economic opportunity. This project takes place earlierin the decision process. Thanks to a thorough data analysis, the air transport network could be modelized as a time-independent graph and stored in the Neo4j graph database. We then defined the Flight Radius problem which resolution allows to determine a sub-network centered around a flight for which market shares of the flight are meaningful. Several methods have beenproposed based on queries or on shortest path algorithms combined with acceleration and parallelism techniques. Our algorithms identify some new markets for a flight. Combining graph theory with databases offers new opportunities for analyzing and studying large networks
Birgillito, Giovanni. "Metodi di map-matching per l'identificazione degli itinerari dei ciclisti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10438/.
Full textWu, Der-Huang, and 吳德晃. "The Use of Stated Preference Model in Travel Itinerary Choice." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/51001359814418727713.
Full text文化大學
觀光事業研究所
85
In recent years, the considerable domestic demand of overseas travel have brought growth to the travel industry. The travel agents try to design the most suitable travel products for their target market in order to satisfy the vast demand in our society. Among the products such as spot travel, special interest tour, package tour and so on, the package tours are still welcome in our market because of their offering the real goal of recreation. This study sttempts to investigate the consumer''s behavior in travel itinerary choice by using Stated Preference Model. The Stated Preference Model is a probability model of individual selections. For the last decade, this model has also been widely used in various fields locally. However, application in marketing is still rare. Therefore, this study is an attempt to investigate the application of the Stated Preference Model in consumer''s behavior in travel itinerary choice. A model of choice behavior was also established to understand the variables affection the purchase decisions by consumers. The impact of different variables on the choice behavior was also compared. Finally, the model established was used to predict market shares and to analyze strategy sensitivity, which can provide references for management planning of strategy study to the travel agents. The results of this research indicate that most of the consumers are affected by the price of the travel product when they make decisions to select the package tour. The days and flights'' departure time of the tours are very important affecting factors to those whose age are under 40. The older they are, the more attention they will pay on the contents of the tours. The results also show that the cooperation of the model is quite good. By conducting a strategic simulation on the third alternative, which has a higher market share, through the model established in this study, it shows that the best strategy is to adjust the price 5% down to increase the market sharing.
Tseng, Tzu-Hua, and 曾子華. "Application of Multiple Criteria Decision Making for Evaluation of Itinerary Choice in Taiwan." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/78187351327636664976.
Full text文化大學
觀光事業研究所
85
Taiwan''s Local Tour has development rapidly recently, because of social and economical patterns changed, the transportation''s improvement and GNP raising making people like to attend outdoor recreation activities and to travel. When Travel agents arrange Local Tours, they need to consider many factors. This study focuses on factor of itinerary Choice which contains seven objectives such as transportation, scenic spot, accommodation, food and beverage, safety, cost and activities, All of objectives include nineteen criteria. This study plans to build a complete evaluation framework of Inetary Choice. By this evaluation framework of itinerary choice, we examine their superiority and inferior in every objectivs of ten travel routes in Taiwan. This study uses AHP and TOPSIS of Multiple Criteria''s Decision Making to build an Evaluation Model of Tourism in Taiwan to arrange and select more ideal scheme. Top ten Itineraries in Taiwan planning by Tourism Bureau are evaluated in this research, including Taipei City Tour, Taroko Gorge, Northeast Coastal Area, Kenting, Eastern Coastal Area, Mountain Tour, Sun Moon Lake, Heritage Tour, Penghu Islands, Quemoy & Matsu. The result shows tuat: 1.The most important itinerary choice evaluation dimension is "safety dimension", then are "cost dimension", " scenic spot dimension", "accomodation dimension", " transportation dimension", "food & beverage dimension" and "activities dimension". 2.The first five important itinerary choice evaluation criteria are "complete service & facilities of scenic spot", " safety of traffic routs", "service quality of hotel", "sanitary food & beverage" and "special scenery". The last five criteria are "cost of activities", "ticket of scenic spot ", "cost of food & beverage ", "cost of transportation" and "cost of accommodation". 3.The result of itinerary choice evaluation is :"Taipei City Tour is the first, then is the Taroko Gorge and Northeasr Coastal Area is the third.
Book chapters on the topic "Itinerary choice"
"MNL, NL, and OGEV Models of Itinerary Choice." In Discrete Choice Modelling and Air Travel Demand, 223–72. Routledge, 2016. http://dx.doi.org/10.4324/9781315577548-14.
Full textHéritier, Adrienne. "Itinera Europea." In Theories of Choice, 139–54. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198863175.003.0008.
Full textPrete, Elisa. "«S’è astenuta dal ribellarsi e s’è sforzata di comprendere»." In Storie dell’arte contemporanea. Venice: Edizioni Ca' Foscari, 2018. http://dx.doi.org/10.30687/978-88-6969-199-7/005.
Full textZukin, Sharon. "Why Harlem Is Not a Ghetto." In Naked City. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195382853.003.0008.
Full textFant, Clyde E., and Mitchell G. Reddish. "Ephesus." In A Guide to Biblical Sites in Greece and Turkey. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195139174.003.0032.
Full textConference papers on the topic "Itinerary choice"
Busquets, Judit G., Antony D. Evans, and Eduardo Alonso. "Predicting Aggregate Air Itinerary Shares Using Discrete Choice Modeling." In 16th AIAA Aviation Technology, Integration, and Operations Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-4076.
Full textMottini, Alejandro, and Rodrigo Acuna-Agost. "Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction." In KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3097983.3098005.
Full textKanjanun, Kitisak, Yan Bin, and Sakda Katawaethwarag. "An overview of urban-bridge construction in Bangkok metropolitan area, Thailand." In IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/christchurch.2021.0164.
Full textReports on the topic "Itinerary choice"
Lurkin, Virginie, Laurie Garrow, Matthew Higgins, Jeffrey Newman, and Michael Schyns. Accounting for Price Endogeneity in Airline Itinerary Choice Models: An Application to Continental U.S. Markets. Cambridge, MA: National Bureau of Economic Research, October 2016. http://dx.doi.org/10.3386/w22730.
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