Academic literature on the topic 'Flights booking'

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Journal articles on the topic "Flights booking"

1

Sanguinetti, Angela, and Nina Amenta. "Nudging Consumers Toward Greener Air Travel by Adding Carbon to the Equation in Online Flight Search." Transportation Research Record: Journal of the Transportation Research Board 2676, no. 2 (2021): 788–99. http://dx.doi.org/10.1177/03611981211046924.

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This study explores the potential to promote lower-emissions air travel by providing consumers with information about the carbon emissions of alternative flight choices in the context of online flight search and booking. We surveyed over 450 employees of the University of California, Davis, asking them to choose among hypothetical flight options for university-related business trips. Emissions estimates for flight alternatives were prominently displayed alongside cost, layovers, and airport, and the lowest-emissions flight was labeled “Greenest Flight.” We found an impressive rate of willingne
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Kasar, Chinmay, Mohammed Nauman, Rudresh Kasar, and Jinal Patel. "SKYLINE Flight Booking System." Journal of Cyber Security, Privacy Issues and Challenges 1, no. 1 (2022): 1–4. http://dx.doi.org/10.46610/jcspic.2022.v01i01.001.

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As we all knows in today's time traveling is one of the important and most essential things for the livelihood. Air transportation is one of the mode of transport which is not common as the other modes of transport because of more expensive and not available everywhere. But what we believe is air transportation will play a major role in development economically as well as in the way infrastructure and modernization. This website is generally design to share the current/live information of airplanes. In this project we allow user to search flights between their preferred source and destinations
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FAN, Wei, Xiang WU, Xin Yang SHI, et al. "Support vector regression model for flight demand forecasting." International Journal of Engineering Business Management 15 (January 2023): 184797902311743. http://dx.doi.org/10.1177/18479790231174318.

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Flight demand forecasting is a particularly critical component for airline revenue management because of the direct influence on the booking limits that determine airline profits. The traditional flight demand forecasting models generally only take day of the week (DOW) and the current data collection point (DCP) adds up bookings as the model input and uses linear regression, exponential smoothing, pick-up as well as other models to predict the final bookings of flights. These models can be regarded as time series flight demand forecasting models based on the interval between the current date
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4

Alstrup, Jens, Søren Boas, Oli B. G. Madsen, and RenéVictor Valqui Vidal. "Booking policy for flights with two types of passengers." European Journal of Operational Research 27, no. 3 (1986): 274–88. http://dx.doi.org/10.1016/0377-2217(86)90325-5.

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5

Vasermanis, Edgars K., Nicholas A. Nechval, Konstantin N. Nechval, and Kristine N. Rozite. "OPTIMAL AIRLINE SEAT INVENTORY CONTROL FOR MULTI‐LEG FLIGHTS." Aviation 8, no. 4 (2004): 10–15. http://dx.doi.org/10.3846/16487788.2004.9635883.

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Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul
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6

Venkataraman, Sri Vanamalla, Ankit Kaushik, and Siddharth Mishra. "A network group booking model for airline revenue management." Journal of Modelling in Management 16, no. 3 (2021): 861–903. http://dx.doi.org/10.1108/jm2-06-2020-0175.

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Purpose Airlines use various analytical techniques to optimally control seats in its various fare classes. Most literature on inventory control does not discuss policies for group arrivals. This study aims to address the literature gap in determining an optimal booking policy which considers the dynamics of group behaviour with respect to cancellations and refunds. Design/methodology/approach An analytical model by which bid price control mechanism can be applied to group bookings is developed through this study. Findings Numerical experiments are performed to demonstrate the analytical model
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Betru, Bisrat, and Uchenna Kelechi Ogbonna. "Accessibility Evaluation on Ethiopian and South African Airlines Website and Mobile Applications." International journal of Web & Semantic Technology 13, no. 4 (2022): 1–17. http://dx.doi.org/10.5121/ijwest.2022.13401.

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Air transport is one of the major transportation modes in Africa. It has been showing a growth due to significant increase of tourist flights and intercontinental flights. Ethiopian Airlines and South African Airlines are the leading airlines in Africa in terms of working capacity and annual profit. Both Ethiopian and South African Airlines have a website that lets their customers search and book a flight. They also have a mobile application for both android and iOS platforms. The airline industry in Africa is facing market competition from different airlines outside the continent. The competi
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8

McCabe, Mary B., and Richard Weaver. "Achieving Resonance for Online Travel Brands via Mobile Devices." Journal of Economics, Trade and Marketing Management 3, no. 1 (2021): p1. http://dx.doi.org/10.22158/jetmm.v3n1p1.

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Branding for service organizations has challenges with the limited space on a mobile phone while consumers create a brand experience in an instant. This reports how online travel agencies (OTA) present their brands on mobile, as framed by the Brand Resonance Pyramid. The authors examine how the OTA present the four levels of branding: identity, meaning, judgement/feelings, and resonance. The authors reflect on qualitative perceptions of Expedia and Booking, the largest revenue OTA, applied to key branding elements on mobile devices for booking flights, accommodations, and car rentals. Travel b
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Mahapatra, Durga Madhab, and Soumendra Kumar Patra. "A New Destination of Online Travel Business: A Case Study." SEDME (Small Enterprises Development, Management & Extension Journal) 46, no. 2 (2019): 130–37. http://dx.doi.org/10.1177/0970846419852520.

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Technology is the lifeblood of the online travel business. Over the last two years, mobile has proved to be the biggest game changer. The possibilities and scalability of business are faster with cloud. Further, the Indian online hotel industry was expected to be USD1.8 billion by 2016 which was USD0.8 billion in the year 2015. India is among the top five traffic sources for ‘trip advisor’ globally. These are early days for online booking in India. India’s biggest online travel firms are seeking to dominate hotel bookings as the industry ventures beyond low-margin airline ticketing. The compan
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Ezeuduji, Ikechukwu O. "Choice of Intermediary for Leisure Travel Arrangements." Journal of Economics and Behavioral Studies 7, no. 5(J) (2015): 65–78. http://dx.doi.org/10.22610/jebs.v7i5(j).607.

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Travellers can plan and arrange holidays themselves online or through the supplier, or use the services of a travel organizer, such as a travel agent. Consumers of travel services will seek to optimize choices by selecting a distribution channel which will provide them with the greatest perceived value. The primary goal of this study is to explore the underlying factors that influence consumer behaviour in making travel decisions, with specific reference to choosing between booking through a travel agent or online. Research with a perspective on travel decision-making in South Africa is limite
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