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Статті в журналах з теми "Ticket pricing"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Wang, Yu, and Jiafa Zhu. "Pricing Analysis for Railway Multi-Ride Tickets: An Optimization Approach for Uncertain Demand within an Agreed Time Limit." Mathematics 11, no. 23 (2023): 4818. http://dx.doi.org/10.3390/math11234818.

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A multi-ride ticket with a certain period of validity and maximum number of uses has been introduced into railway transport. The key to pricing the railway multi-ride ticket is determining the uncertain demand within an agreed time limit. Unfortunately, limited studies have focused on this pricing issue. Therefore, we focused on railway multi-ride ticket pricing optimization in two different scenarios: a single train with multiple stops and multiple trains with multiple stops. First, the expected coefficient and incentive coefficient were introduced to describe the decision-making process for

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2

Rosen, Sherwin, and Andrew M. Rosenfield. "Ticket Pricing." Journal of Law and Economics 40, no. 2 (1997): 351–76. http://dx.doi.org/10.1086/467376.

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3

Kim, Koo Yul, Colin López, and Yo Han Lee. "Get Your Tickets Here: An Examination of How Reputation and Pricing Strategies of Ticket Sellers Affect Consumers’ Willingness to Purchase Sport Tickets." Sport Marketing Quarterly 34, no. 1 (2025): 16–30. https://doi.org/10.32731/smq.341.032025.02.

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The exponential growth of the secondary ticket market is primarily driven by proliferation of secondary ticket market companies (i.e., ticket resale platforms). With these different ticket resale platforms exhibiting varying levels of reputation, the role of reputation has become increasingly pivotal, influencing consumers’ decision making in the ticket purchase process. Utilizing signaling theory as a theoretical framework, this study employs a multi-study experimental design to examine the impact of reputation on consumers’ purchase decisions under different pricing conditions (e.g., partiti

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4

Preuss, Holger. "Olympic Ticket Pricing." European Journal for Sport Management 8, sup1 (2001): 37–62. http://dx.doi.org/10.1080/1029712x.2001.12426520.

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5

Yang, Pengshen. "Analysis of the Tactics of NBA Pricing Tickets." Advances in Economics, Management and Political Sciences 44, no. 1 (2023): 8–13. http://dx.doi.org/10.54254/2754-1169/44/20232174.

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Despite the effects of the economic crisis, the United States has maintained its position as a global leader in the innovation of professional sports development, drawing attention to the progress of its professional stadiums. The ultimate goal of stadium marketing is to attract more spectators to enter the stadium to watch the game and bring more economic income through the sale of tickets, and the audience needs to buy corresponding tickets to enter the stadium to watch the game according to their own needs, so that the price of tickets can have interactions between the audience and the stad

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6

Cheremnykh, A. A. "ANALYSIS OF FACTORS INFLUENCING THE PRICING OF AIR TICKETS." Applied Mathematics and Control Sciences, no. 1 (December 15, 2022): 196–213. http://dx.doi.org/10.15593/2499-9873/2022.1.10.

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The article is devoted to discussing topical issues about the formation of the price of plane tickets. The paper analyzes and evaluates the degree of influence of factors on the pricing process using regression analysis methods. At the first stage, a review of the available research sources of foreign and Russian authors was carried out, according to the results of which the main characteristics determining the price level of air tickets were identified and considered. In the course of studying the issue, the experience and conclusions, based on previously performed studies of foreign segments

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7

Shapiro, Stephen L., and Joris Drayer. "A New Age of Demand-Based Pricing: An Examination of Dynamic Ticket Pricing and Secondary Market Prices in Major League Baseball." Journal of Sport Management 26, no. 6 (2012): 532–46. http://dx.doi.org/10.1123/jsm.26.6.532.

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In 2010, the San Francisco Giants became the first professional team to implement a comprehensive demand-based ticket pricing strategy called dynamic ticket pricing (DTP). In an effort to understand DTP as a price setting strategy, the current investigation explored Giants’ ticket prices during the 2010 season. First, the relationship between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices for comparable seats were examined. In addition, seat location and price changes over time were examined to identify potential effects on ticket price in the primary and second

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8

Leng, Zipeng. "Optimization and Practice of Airline Ticket Pricing Strategy: A Comprehensive Analysis Based on Market Demand, Competitive Environment and Passenger Behavior." Asia Pacific Economic and Management Review 1, no. 6 (2024): 52–56. https://doi.org/10.62177/apemr.v1i6.106.

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The optimization and practice of airline ticket pricing strategy is a complex and critical process, which needs to consider many aspects such as market demand, competitive environment and passenger behavior. This paper aims to analyze how these factors affect ticket pricing and explore how airlines can optimize their pricing strategies in practice. In practice, airlines continue to optimize pricing strategies, through dynamic pricing, class management, promotional activities and other means to increase ticket sales and profits. At the same time, airlines also need to strengthen data analysis a

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9

Dutta, Aniruddha. "Capacity Allocation of Game Tickets Using Dynamic Pricing." Data 4, no. 4 (2019): 141. http://dx.doi.org/10.3390/data4040141.

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This study examines a pricing approach that is applicable in the field of online ticket sales for game tickets. The mathematical principle of dynamic programing is combined with empirical data analysis to determine demand functions for university football game tickets. Based on the calculated demand functions, the application of DP strategies is found to generate more revenues than a fixed price strategy. The other important result is the capacity distribution of tickets according to the football game intensity. Prior studies have shown that it is sometimes more profitable or football clubs to

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10

Branda, Francesco, Fabrizio Marozzo, and Domenico Talia. "Ticket Sales Prediction and Dynamic Pricing Strategies in Public Transport." Big Data and Cognitive Computing 4, no. 4 (2020): 36. http://dx.doi.org/10.3390/bdcc4040036.

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In recent years, the demand for collective mobility services registered significant growth. In particular, the long-distance coach market underwent an important change in Europe, since FlixBus adopted a dynamic pricing strategy, providing low-cost transport services and an efficient and fast information system. This paper presents a methodology, called DA4PT (Data Analytics for Public Transport), for discovering the factors that influence travelers in booking and purchasing bus tickets. Starting from a set of 3.23 million user-generated event logs of a bus ticketing platform, the methodology s

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11

Huth, Christopher, and Markus Kurscheidt. "Season Ticketing as a Risk Management Tool in Professional Team Sports: A Pricing Analysis of German Soccer and Basketball." Journal of Risk and Financial Management 15, no. 9 (2022): 392. http://dx.doi.org/10.3390/jrfm15090392.

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Ticket sales remain a significant source of revenue in professional team sports. However, season ticket revenue, as an effective risk-reducing instrument, is rarely analyzed in the literature. This study aims to determine, from a price and product perspective, the extent to which different factors affect season ticket prices. Using three different professional German sports leagues, a ticket-pricing model was developed as the empirical model. Consistent with other pricing studies, an ordinary least-squares (OLS) model and a Tobit model were fit. The results indicate that different season ticke

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12

Wang, Yu, Jiafa Zhu, Hongye Wang, and Xiaoyan Lv. "Pricing for Refund Service Fee of High-Speed Railway: An Optimization Approach with Uncertain Demand." Complexity 2023 (October 18, 2023): 1–15. http://dx.doi.org/10.1155/2023/4551091.

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Compared to single ticket purchase behavior, the impact of ticket cancellation behavior on revenue is full of complexity. Due to the cancelled tickets will be resold with uncertain demand, ticket cancellation behaviors and ticket purchase behaviors are intertwined and influenced, composed of a dynamic and complex system in the presale period. How to charge for ticket cancellation behavior in the name of refund service fee to reduce losses as much as possible is an urgent problem for high-speed railway enterprises. However, there has been little research on this issue. Therefore, a pricing opti

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13

Solanellas, Francesc, Joshua Muñoz, and Josep Petchamé. "An Examination of Ticket Pricing in a Multidisciplinary Sports Mega-Event." Economies 10, no. 12 (2022): 322. http://dx.doi.org/10.3390/economies10120322.

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Some studies have examined ticket sales in the context of a sporting event. However, only a few have investigated the determinants of ticket prices, and, to date, none have done so in the context of a multidisciplinary sports mega-event. This study examines this complex paradigm through the case of the World Swimming Championships held in Barcelona, Spain. The particular focus of this study was whether, in such a framework, the same model of analysis of price determinants could be applied equally to all the disciplines that comprise the sporting mega-event. The applied model was significant, e

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14

Iswarya, Gopu. "Predicting Airline Ticket Prices Using Machine Learning Predicting Airline Ticket Prices Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31185.

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Airfare prices are constantly changing due to various factors like the time of flight, destination, and length of the trip. To help people figure out the best time to buy tickets, we are working on a system that will use machine learning to predict prices. By studying past flight data in India, we want to uncover pricing patterns and suggest the ideal time to purchase tickets. This project aims to confirm or dispel common beliefs about airlines by comparing prediction models and finding ways to save money on ticket purchases. Price trends can vary significantly based on various factors such as

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15

Meng, Huaqin, Zhenying Yan, Yu Wang, and Yiwei Xu. "Optimizing Joint Decisions of Dynamic Pricing and Ticket Allocation for High-Speed Railway with Operators’ Risk Preference." Journal of Advanced Transportation 2022 (October 14, 2022): 1–16. http://dx.doi.org/10.1155/2022/7383396.

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High-speed trains powered by electricity have low-carbon emissions and are the important intercity travel conveyances conducive to sustainable social development. The sustainable development of high-speed railway needs to improve the operating revenue and the resource utilization. Joint optimization of dynamic pricing and ticket allocation are often used to improve high-speed railway revenue and seat utilization in the literature. However, the uncertainty of demand makes joint decision-making difficult to be accurate. The risk preference of decision-makers also deeply affects the effect of joi

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16

Farimani, Nasser Motahari, Jamile Ghanbarzade, and Azam Modares. "A New Approach for Pricing Based on Passengers’ Satisfaction." Transportation Journal 61, no. 2 (2022): 123–50. http://dx.doi.org/10.5325/transportationj.61.2.0123.

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Abstract The growth of the rail transportation industry depends on providing adequate quality of service with reasonable pricing. Toward providing effective pricing strategies, one must find a measure to assess the effectiveness of ticket pricing. Despite the importance that pricing can have on the performance of businesses, it is mostly addressed based on managers’ own experiences. Moreover, data envelopment units employed for pricing are limited to showing the relationship between increasing service quality and increasing efficiency. Therefore, the main purpose of this study is to quantitati

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17

Courty, Pascal. "Ticket Pricing under Demand Uncertainty." Journal of Law and Economics 46, no. 2 (2003): 627–52. http://dx.doi.org/10.1086/377117.

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18

Xia, Chunqiu. "Study on the Optimization Strategy of Chinese Film Ticket Price Pricing." Advances in Economics, Management and Political Sciences 99, no. 1 (2024): 114–20. http://dx.doi.org/10.54254/2754-1169/99/2024ox0216.

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Film, as an important cultural industry and entertainment mode, has developed over the years and formed a relatively complete industrial chain. However, in the long-term development process, movie ticket pricing has always been a hot issue that has attracted much attention. In recent years, China's film market has shown a trend of rapid development, and the box office has repeatedly reached a new high, but the level of movie ticket prices has also been rising, which has triggered widespread social concern and discussion.Research and optimization of movie ticket pricing strategy is of great sig

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19

Qin, Jin, Wenxuan Qu, Xuanke Wu, and Yijia Zeng. "Differential Pricing Strategies of High Speed Railway Based on Prospect Theory: An Empirical Study from China." Sustainability 11, no. 14 (2019): 3804. http://dx.doi.org/10.3390/su11143804.

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Based on the single pricing method of the high-speed railway (HSR) in China, a pricing strategy without flexibility leads to the problem of extreme fluctuations in passenger flow and difficulty in increasing revenue. In order to achieve sustainable development of the HSR from the perspective of pricing, in this study, we divided the passenger market according to the different factors affecting passengers’ choice behavior, maximized ticket sales revenue with expected travel cost as the reference point, and used prospect theory to construct a differentiated pricing model under elastic demand. A

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20

Subbarayudu, Yerragudipadu, Vijendar Reddy Gurram, T. S. Ritvik, et al. "A Machine Learning Chronicle in Airfares for Pricing the Clouds." MATEC Web of Conferences 392 (2024): 01118. http://dx.doi.org/10.1051/matecconf/202439201118.

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The subject of airfare is examined in this paper. As a result, a collection of factors that characterize a typical flight are selected under the presumption that they have an impact on airline ticket costs. The price of a plane ticket is influenced by the length of the trip, the location, the schedule, and several other factors, like holidays or vacations. Therefore, many people will surely save time and effort by having a basic awareness of airline expenses prior to making trip arrangements. The performance of the seven different machine learning (ML) models used to anticipate the price of ai

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21

Yan, Zhenying, Pingting Zhang, Yujia Zhang, Hui Liu, Chenxi Feng, and Xiaojuan Li. "Joint Decision Model of Group Ticket Booking Limits and Individual Passenger Dynamic Pricing for the High-Speed Railway." Symmetry 11, no. 9 (2019): 1128. http://dx.doi.org/10.3390/sym11091128.

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Rail operators in many countries discount group tickets to improve revenue by increasing price-driven demand. For individual passengers, dynamic pricing is beneficial for maximizing revenue based on the price discrimination principle. Usually, group fares are cheaper than individual fares. If too many group tickets are sold, there will not be enough tickets available to meet high-priced individual demand; by contrast, if not enough group tickets are sold and there is insufficient individual demand, the unsold seats will not have value once the train departs. Therefore, for railway operators, i

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22

Rascher, Daniel A., Chad D. McEvoy, Mark S. Nagel, and Matthew T. Brown. "Variable Ticket Pricing in Major League Baseball." Journal of Sport Management 21, no. 3 (2007): 407–37. http://dx.doi.org/10.1123/jsm.21.3.407.

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Sport teams historically have been reluctant to change ticket prices during the season. Recently, however, numerous sport organizations have implemented variable ticket pricing in an effort to maximize revenues. In Major League Baseball variable pricing results in ticket price increases or decreases depending on factors such as quality of the opponent, day of the week, month of the year, and for special events such as opening day, Memorial Day, and Independence Day. Using censored regression and elasticity analysis, this article demonstrates that variable pricing would have yielded approximate

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23

Courty, Pascal. "Some Economics of Ticket Resale." Journal of Economic Perspectives 17, no. 2 (2003): 85–97. http://dx.doi.org/10.1257/089533003765888449.

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A large number of brokers and scalpers resell a significant fraction of event tickets at substantial markups and they manage to do so despite the fact that promoters and ticketing agencies do not support resell for profits and often attempt to block secondary market. Why can't promoters capture the profits from secondary markets or at least deter brokers from doing so? I present a simple explanation that borrows from the literature on airline ticket pricing and draw parallels with that literature. I review some evidence consistent with this explanation.

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24

Nakagawa, Yoshiaki, Yukari Abe, and Masami Isobe. "Ticketing and Crowd Management System for Attraction Facilities: An Aquarium Case Study." Journal of Disaster Research 19, no. 2 (2024): 303–15. http://dx.doi.org/10.20965/jdr.2024.p0303.

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In tourist facilities, managing ticket sales can reduce congestion imbalances. This study reports on the results of a pilot experiment conducted at Kaiyukan in Osaka, one of the largest aquariums in Japan. The experiment utilized pre-sale ticket data for controlling admission time intervals, smoothing the number of admissions through dynamic pricing, and predicting visitor numbers. The study reviewed the effectiveness of each of these approaches to alleviate congestion inside Kaiyukan. We then report on a method to predict the number of visitors from the pre-sale conditions of Kaiyukan admissi

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25

Chang, Yang-Ming, Joel M. Potter, and Shane Sanders. "Inelastic sports ticket pricing, marginal win revenue, and firm pricing strategy." Managerial Finance 42, no. 9 (2016): 922–27. http://dx.doi.org/10.1108/mf-02-2016-0047.

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Purpose A standard result of firm theory is that a monopoly maximizes profit somewhere along the elastic portion of its demand curve. However, empirical studies of sports ticket pricing routinely find that (home) teams price along the inelastic portion of demand. Despite compelling theoretical explanations of this finding, at least one important factor remains unconsidered. A profit-maximizing team considers not only direct marginal revenue and direct marginal cost when setting a ticket price but also deferred, strategic benefit (revenue) from present game success. The paper aims to discuss th

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26

Hu, Xiaoyi, Jianqiang Duan, and Ran Li. "Research on High-Speed Railway Pricing and Financial Sustainability." Sustainability 14, no. 3 (2022): 1239. http://dx.doi.org/10.3390/su14031239.

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With the steady increase of corporate system reform in the railway transportation industry, high-speed railways have accelerated their steps toward marketization, and the market competition they face has become increasingly fierce. In this context, enterprises need to make quick adjustments to new changes in order to seize the market share, obtain stable ticket income, and eventually, achieve financial sustainability while ensuring the healthy development of high-speed railways. Thus, it is particularly important to determine a reasonable ticket price. While considering supply and demand, mark

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27

Şahin, Mehmet. "Optimization of dynamic ticket pricing parameters." Journal of Revenue and Pricing Management 18, no. 4 (2019): 306–16. http://dx.doi.org/10.1057/s41272-018-00183-1.

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28

Marburger, Daniel R. "Optimal ticket pricing for performance goods." Managerial and Decision Economics 18, no. 5 (1997): 375–81. http://dx.doi.org/10.1002/(sici)1099-1468(199708)18:5<375::aid-mde833>3.0.co;2-3.

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29

Yin, Xiaofeng, Di Liu, Wenyu Rong, and Zheng Li. "Joint Optimization of Ticket Pricing and Allocation on High-Speed Railway Based on Dynamic Passenger Demand during Pre-Sale Period: A Case Study of Beijing–Shanghai HSR." Applied Sciences 12, no. 19 (2022): 10026. http://dx.doi.org/10.3390/app121910026.

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Against the background of the gradual deepening of China Railway’s market-oriented reform, and in order to improve the revenue and competitiveness for high-speed railway (HSR) passenger transport, this paper studies the joint optimization problem of the high-speed railway ticket pricing and allocation considering the dynamic demand characteristics of passengers during the pre-sale period. Firstly, we use the compound non-homogeneous Poisson process to describe the passengers' ticket-purchasing process and use the sparse method to simulate the passengers' ticket demand during the pre-sale perio

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30

Wittmer, Andreas, and Nicole Oberlin. "ANCILLARY REVENUE PRICING." Journal of Air Transport Studies 6, no. 2 (2015): 43–62. http://dx.doi.org/10.38008/jats.v6i2.58.

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The airline industry has evolved from a system of long-established state owned carriers operating in a regular market to a dynamic, deregulated industry. This development – especially the emerging competition of low-cost carriers – has had a major influence on the price setting behaviour of airlines. Profitability of airlines is limited and pricing systems are reconsidered. To stay competitive, traditional full service carriers consider the implementation of ancillary revenue systems, which are similar to low-cost carriers. This paper investigates challenges of an ancillary revenue pricing app

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31

Mahesh Sharma, Rupam Kumari, and Sarwath Unnisa. "Airline Price prediction using ExtraTrees Regressor." International Journal of Information Technology, Research and Applications 3, no. 3 (2024): 7–14. http://dx.doi.org/10.59461/ijitra.v3i3.97.

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Airlines employ dynamic pricing strategies, which are based on demand estimation models, to set ticket prices. Airlines often set the price of their seats based on the necessary demand because they can only sell a certain number of seats on each journey. Airlines typically raise travel costs during times of strong demand, which slows down the rate at which seats are filled. When demand declines and seats become unsold, airlines typically lower their ticket prices to draw in new passengers. It will be more beneficial to sell those seats for more than the cost of service per passenger because un

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32

Liu, Jie, Shi Wei He, and Jin Liang Jiang. "Research on PDL Ticket Pricing in Light of Service Quality." Applied Mechanics and Materials 97-98 (September 2011): 453–57. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.453.

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Due to the similarity of passengers source in long distance transportation, competitions among passenger dedicated line(PDL), existing railway lines and air transportation are severely. First of all, analyzing the element which influence travelers choice, then a competition model for these three modes of transportation are gotten, which mainly take ticket price, comfort and travel time into account. In the process of competition, the ticket price adjustment can affect the service quality. Therefore, in this paper using the average crowding degree to measure service quality, under the promise t

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33

Courty, Pascal. "An economic guide to ticket pricing in the entertainment industry." Recherches économiques de Louvain 66, no. 2 (2000): 167–92. http://dx.doi.org/10.1017/s0770451800083858.

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SummaryThis paper reviews the literature on ticket pricing in the entertainment industry. All along, I try to evaluate whether ticket markets outcomes are consistent with theoretical predictions. Overall, the literature provides a good understanding for observed variations in ticket prices. The literature, however, fails to explain situations where prices do not vary. We have but a poor understanding for why prices often do not vary over the run of a show, why more popular shows do not charge more and why most venues are scaled in just a few sections. I also review the empirical literature of

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34

Dendukuri, Lakshmi Srinivas. "Comparison of Air Fare Prediction Using Various Machine Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 1283–88. http://dx.doi.org/10.22214/ijraset.2024.64350.

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Due to a rise in air service links globally, air travel is now a popular, significant, and faster form of transportation. Airline rates are thought to be impacted by several factors and are subject to frequent fluctuation, making estimation of these rates a challenging but essential task. The airline uses a pricing structure for the plane ticket. The cost of airline tickets varies based on the time of day, according to the survey. Even the weekends, the tourist season, and the pageant season have an impact on this. An aircraft ticket's price is influenced by several different elements. The buy

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35

Courty, Pascal, and Luke Davey. "The Impact of Variable Pricing, Dynamic Pricing, and Sponsored Secondary Markets in Major League Baseball." Journal of Sports Economics 21, no. 2 (2019): 115–38. http://dx.doi.org/10.1177/1527002519867367.

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Toward the end of the 1990s and into the 2000s, Major League Baseball teams moved away from fixed ticket prices, to first setting prices according to expected game demand, and subsequently to dynamically changing prices in response to demand. Teams have also collaborated with secondary ticket marketplaces to sponsor resale. By exploiting a team panel covering seasons 1999-2017, we use fixed effect models to estimate the impact of these pricing innovations on team revenue and team value. Variable pricing increases revenue and team value by 4.2% and 9.5%, respectively. The introduction of dynami

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36

D, Sindu. "DYNAMIC PRICING MODEL USING PRICE MULTIPLIERS FOR ONLINE BUS TICKET BOOKING." Kongunadu Research Journal 1, no. 2 (2014): 23–30. http://dx.doi.org/10.26524/krj33.

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Dynamic pricing is a price determination by the buyer and seller at the time of transaction. In the present study we propose a dynamic pricing approach for the online bus ticket booking. The proposed pproach is based on having “price multipliers” that vary around “1” and provide a varying iscount/premium over the base price. The price multipliers are functions of certain influencing variables .The values of price multipliers are determined based on analysis of price multipliers and its demand variation. We have tested the proposed approach by successfully applying it to the online bus ticket b

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Su, Huanyin, Shuting Peng, Lianbo Deng, Weixiang Xu, and Qiongfang Zeng. "Optimal Differential Pricing for Intercity High-Speed Railway Services with Time-Dependent Demand and Passenger Choice Behaviors under Capacity Constraints." Mathematical Problems in Engineering 2021 (November 15, 2021): 1–13. http://dx.doi.org/10.1155/2021/8420206.

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Differential pricing of trains with different departure times caters to the taste heterogeneity of the time-dependent (departure time) demand and then improves the ticket revenue of railway enterprises. This paper studies optimal differential pricing for intercity high-speed railway services. The distribution features of the passenger demand regarding departure times are analyzed, and the time-dependent demand is formulated; a passenger assignment method considering departure periods and capacity constraints is constructed to evaluate the prices by simulating the ticket-booking process. Based

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CAO, Jiren, Lei NIE, Lu TONG, Zhenhuan HE, and Zhangjiaxuan LIU. "Dynamic pricing optimization for high-speed railway based on passenger flow assignment." PLOS ONE 19, no. 12 (2024): e0314713. https://doi.org/10.1371/journal.pone.0314713.

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Анотація:

In order to improve the operation efficiency and market competitiveness, how to optimize the ticket pricing strategy of high-speed railway to match the dynamic supply-demand relationship was an urgent problem to be studied. Taking differentiated passenger demand and supply trains as the research object, the space-time service network based on train timetable was constructed. The generalized cost formula and travel utility formula of passenger travel were proposed, which contained economy, rapidity, convenience, comfort, and route correlation cost. A multi-objective dynamic pricing model was pr

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Yao, Enjian, Qirong Yang, Yongsheng Zhang, and Xun Sun. "A Study on High-Speed Rail Pricing Strategy in the Context of Modes Competition." Discrete Dynamics in Nature and Society 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/715256.

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High-speed rail (HSR) has developed rapidly in China over the recent years, for the less pollution, faster speed, comfort, and safety. However, there is still an issue on how to improve the seat occupancy rates for some HSR lines. This research analyzes the pricing strategy for HSR in Wuhan-Guangzhou corridor based on the competition among different transport modes with the aim of improving occupancy rates. It starts with the theoretical analysis of relationship between market share and ticket fare, and then disaggregate choice models with nested structure based on stated preference (SP) data

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Paul, Rodney, and Andrew Weinbach. "Using Prediction Market Prices to Differentiate Factors that Influence the Highest and Lowest Priced Tickets in Dynamic Pricing for Major League Baseball." Journal of Prediction Markets 9, no. 2 (2015): 43–63. http://dx.doi.org/10.5750/jpm.v9i2.1081.

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The use of prediction markets is extended to explain differences in preferences of fans that purchase different price levels of tickets under dynamic pricing for Major League Baseball. Using data from eleven teams, this research investigates similarities and differences in variables that affect ticket prices for the highest-priced and lowest-priced tickets. Key contrasts between the groups are found to stem from distinct preferences for uncertainty of outcome, measured by betting market odds, and team quality. It is also shown that differences between the groups are attributable to sensitivity

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Suryono, Totok, Haniva Mulyani, and Ananda Putri Kartika. "Analysis of the Impact of Panoramic Train Ticket Prices on Argo Parahyangan Passenger Satisfaction." Jurnal Ilmiah Akuntansi Kesatuan 12, no. 6 (2024): 529–36. https://doi.org/10.37641/jiakes.v12i6.3065.

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This study aims to analyze the effect of Panoramic Train ticket prices on customer satisfaction in the relationship between Argo Parahyangan Gambir-Bandung Train and PT Kereta Api Pariwisata. A quantitative approach was applied by collecting data through questionnaires distributed to 100 passengers. The results of the study indicate that ticket prices that are in accordance with service quality have a significant effect on customer satisfaction. Appropriate pricing can increase satisfaction, while good quality service contributes to a satisfying travel experience. Factors such as comfort, clea

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Nagesh, Mr P., K. B. Jayanth Naidu, P. N. Venkata Kowshik, and P. Chandra Sekhar. "Airline Ticket Price Prediction Model." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 862–66. http://dx.doi.org/10.22214/ijraset.2023.49537.

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Abstract: Airline ticket pricing is a complex and dynamic process that involves several factors such as demand, competition, fuel prices, seasonality, and many other variables. Predicting airline ticket prices accurately is a critical challenge in the aviation industry. This research paper presents a machine learning-based approach to predict airline ticket prices. We used historical data of airline ticket prices and other relevant features to train and evaluate several machine learning models. The proposed model achieved an accuracy of 85% in predicting the airline ticket prices. The results

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Tilak, Bhujade, Hingankar Harshal, Charde Janvi, and Tejal Irkhede Dr. "Dynamic Airline Pricing System." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 1 (2025): 2900–2907. https://doi.org/10.5281/zenodo.14944858.

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Competition over fare control has reached a new level of complexity in the airline industry through machine learning to determine the most effective ticket pricing strategies. This research paper demonstrates an ideal dynamic pricing model developed on the programming language Python including preprocessing of data, selection of features and other state of the art models Random Forest and Prophet model among others. The model takes data flights details, economic conditions, weather conditions, and customers demographics of the flight to predict ticket prices correctly. Due to the interface, im

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Huang, Yeu-Shiang, Jun-Guo Wang, and Jyh-Wen Ho. "Ticket pricing with different inventory information displays." Computers & Industrial Engineering 109 (July 2017): 59–70. http://dx.doi.org/10.1016/j.cie.2017.04.035.

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Huntington, Paul A. "Ticket pricing policy and box office revenue." Journal of Cultural Economics 17, no. 1 (1993): 71–87. http://dx.doi.org/10.1007/bf00820768.

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Mahmud, Muhamad Farid, Rini Tesniwati, and Istiqomah. "HOW DOES DIGITAL TRANSFORMATION MEDIATE OF PRICE AND PROMOTION IN INFLUENCING ONLINE TRAIN TICKET PURCHASING DECISIONS?" Jurnal Ilmiah Ekonomi Bisnis 30, no. 1 (2025): 136–52. https://doi.org/10.35760/eb.2025.v30i1.12548.

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The ease of digital markets in mediating and bridging train ticket reservations has become an interesting phenomenon in Indonesia, consumers are increasingly interested in exploring online platforms because of their ease of use and variety. This study examines how digital transformation mediates the impact of pricing and advertising on online rail ticket purchases. Employing the Structural Equation Model approach to investigate the link between latent variables, we find that digital transformation strengthens consumer decision-making by making pricing strategies more transparent and accessible

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Kapoor, Adhyan. "ECONOMIC ASPECTS OF SPORTS AND ENTERTAINMENT." International Journal of Social Science and Economic Research 08, no. 10 (2023): 3282–94. http://dx.doi.org/10.46609/ijsser.2023.v08i10.019.

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The sports and entertainment industries, economic powerhouses, wield substantial global and regional influence. This study delves into the economic dimensions of the sports and entertainment industries, focusing on player salaries, ticket pricing, and the impact of major events like the Olympics or World Cup. Despite the complexities and evolution of these industries, the paper highlights their enduring relevance within economic analysis. It explores three fundamental aspects of these industries: player salaries, ticket pricing, and major events. It considers the historical context, industry-s

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Kobets, Illia, Sofiia Kulyk, Kateryna Boiarynova, and Nadiia Rochshyna. "Economic analysis of airline pricing: retrospective analysis and current state." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020 1, no. 28 (2024): 36–46. https://doi.org/10.46783/smart-scm/2024-28-4.

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Анотація:

The article provides an in-depth analysis of airline ticket pricing, tracing its historical evolution and exploring current trends. The article provides a detailed description of the structure and components of airline ticket pricing, as well as the impact of factors on this process. The research examines the development of airline pricing from the early 20th century, when aviation was a luxury reserved for the wealthy, to its current state as a competitive and affordable industry. Key historical milestones are discussed, including the introduction of computerised reservation systems in the 19

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Baldat, Agil Gian, Isse Liana Septiani, Yuda Andriansyah, Martinus Agus Sugiyanto, and Mira Lestira Hariani. "Influence Factor Analysis of Consumer Decision in Using Special Tariff Policy on Regional Rail in Indonesia (Case Study : Sawunggalih Regional Train)." Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) 3, no. 12 (2024): 1847–60. https://doi.org/10.57185/jetbis.v3i12.162.

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Indonesian railway transportation service companies are constantly striving to improve service and facility optimization while increasing train passenger numbers. The purpose of this study is to examine the impact of special fare tickets on train user decisions in order to boost passenger traffic and strengthen railways' role in the regional economy. This study examines price, time (length), and certainty opportunities as influences on the decision to acquire special fare tickets for public transportation trains. The study took a quantitative approach, with the questionnaire asking about Abili

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ВАСКЕВИЧ, Т. В. "МОДЕЛИРОВАНИЕ СПРОСА И АДАПТИВНОГО ФОРМИРОВАНИЯ ЦЕНЫ С ПОМОЩЬЮ ИНСТРУМЕНТОВ МАШИННОГО ОБУЧЕНИЯ". Экономика и предпринимательство, № 10(171) (7 жовтня 2024): 408–16. http://dx.doi.org/10.34925/eip.2024.171.10.074.

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Статья посвящена применению методов машинного обучения для моделирования спроса и адаптивного формирования цены на железнодорожные билеты. Особое внимание уделяется построению и оптимизации нейросетевых моделей регрессии и логистической регрессии. Произведена кластеризация категорий билетов. По результатам построенных моделей выработаны рекомендации. The article is devoted to the use of machine learning methods for modeling demand and adaptive pricing for railway tickets. Particular attention is paid to the construction and optimization of neural network regression and logistic regression mode

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