Ticket Fare Research Articles

Heterogeneous impacts of the built environment on survival of customized bus services across the downtown and suburbs

Customized bus services (CBS) lines have been increasingly added in cities to better serve diversified travel needs. The notable variations in the built environment across the downtown and suburbs could result in wide differences in local customers' behaviors and preferences. The allocation of CBS stops thus needs to be considered separately in urban centers and peripheries to ensure the best performance, but such spatial heterogeneity is not specifically studied and justified in the literature. This study takes empirical data containing continuous CBS stops in Shanghai, China, as an example. Using a latent class binomial logit model, it investigates the effects of bus characteristics, geographic, and built environment elements on the survival of CBS stops in downtown and suburbs. The findings demonstrate that the performance of CBS systems is significantly influenced by factors including road density, population density, POI, sidewalk width, greenery area, ticket fare, and the type of CBS line (commute or general) across urban centers and peripheries. Specifically, two latent classes of CBS stops are found to have different effects depending on the stop's location or type of the linked areas, i.e. downtown or suburbs, on a CBS line.

Flight Ticket Fare Prediction using Supervised Learning

Abstract: With the increasing interconnectivity of air routes worldwide, air travel has become a widespread and expeditious means of transportation. Forecasting airline fares poses a significant and intricate challenge due to their continual fluctation, influenced by a diverse array of factores. Extensive research suggests that the application of Machine Learning, and Deep Learing techniques enables the swift estimation of flight fares at specific intervals. This study employs a Machine Learning Regression methodology to predict flight fares based on essential parameters such as departure and arrival times, departure location, destination, stopovers, and airline provider. This research employs two distinct datasets for training and testing purposes, evaluating a range of machine learning approaches to forecast flight ticket prices.

Sustainable FLM transport based on IPF transport by ferry in coastal rural areas: A case from Sweden

With the increased emission requirements in Europe over the past century the role of Integrated Passenger and Freight (IPF) transport for sustainable first- and last mile (FLM) transport have increased. IPF transport by ferry has the potential to increase sustainability in FLM transport in coastal rural areas. A literature review followed by a single case study was conducted to examine six core elements of IPF transport by ferry for improvement of environmental, economic, and social- sustainable FLM transport in a Swedish coastal rural areas. In addition to the literature review, empirical data was collected from a total of 346 semi-structured interviews with passengers (i.e., visitors, tourists, residents), goods owners and policymakers, observations (at ferries, piers) and a hackathon. The study show that environmental sustainable FLM transport could be improved by increasing usage of free capacity in ferries, and improved planning of the IPF transport by ferry. The study indicate improved environmental sustainable FLM transport linked to introduction of electrical ferries for IPF transport. Economic sustainable FLM transport related to the long-term viability of IPF transport by ferry could be improved by enhanced compliance between traffic planning programs and the execution of FLM transport in coastal rural areas, and adjustment of passengers' one-way ticket fare of IPF transport. The study suggest introduction of modul-based ferries to improve economic sustainability of FLM transport based on IPF transport by ferry. To improve social sustainability of FLM transport, safety risks in IPF transport of bicycles, management of freight and passengers at piers, accessibility of passengers and goods owners at piers should be considered. The study indicate improvement of social sustainabiltility related to accessibility of passengers and goods owners at piers.

Dampak Penerapan Fuel Surcharge pada Maskapai Wing Air Layanan No Frills terhadap Load Factor Rute Surabaya – Yogyakarta

There was an increase in world oil due to geopolitical conflicts, this increase in fuel prices had an impact on the aviation industry, namely an increase in the price of avtur or aircraft fuel. One of them is Wing Airlines with a propeller-engined aircraft, namely ATR-72, expressed a complaint in the conditions experienced to ask for an adjustment in the price of airplane tickets for assistance from the government due to the avtur cost component which eats up operational costs. This study aims to determine the impact factors of the increase in aircraft fuel prices in the application of a new component called Fuel Surcharge. In addition, this study also aims to find solutions to overcome the impact of rising fuel prices by Wing Airlines on the Surabaya - Yogyakarta route. This research is descriptive using qualitative methods with data collection methods in the form of interviews, observation, and documentation. The data obtained is in the form of interviews with Wing Air Airline officers at Juanda International Airport as well as documents used to carry out daily activities. The results of this study indicate that the factors that increase passenger ticket fares in fuel operational costs are due to rising world oil prices, so that government regulations are imposed, namely applying a fuel surcharge component of 25% of the base price rate charged to service passengers. air freight. In the results the data obtained does not show a drastic change in the number of passengers (Load Factor) so that the increase in ticket prices does not have an effect on the number of passengers (Load Factor) to adjust fuel operational costs but additional costs (Fuel Surcharge) have been determined and determined by the government to parties airline to apply to the specified route.
 Keywords: Avtur increase, Fuel Surcharge, Load Factor

TRANSPORTASI LIGHT RAIL TRANSIT (LRT) PALEMBANG SUMATERA SELATAN BERDAMPAK LINGKUNGAN DAN PENGEMBANGAN USAHA PERKOTAAN SEKTOR NON FARE BOX

Palembang's Light Rail Transit (LRT) rail transportation is a component of the city's rapid transitinitiative which provides 13 stations on the LRT rapid transit line, a catalyst for transit-oriented, highdensity, comparative analysis with other major cities of developed countries that have been successfulimplement this form of mass transit. mixed-use development; economical investment, providing a returnon investment for property owners, businesses and municipalities; and a catalyst for social change,improving health, the environment and community connectivity. LRT revenue comes from fare-box whichcomes from ticket sales and non-fare-box or revenue outside of ticket fares, the four main businesssectors outside of transportation services are advertising, retail, telecommunications, as well as eventsand activation.

A System Optimization Approach for Trains’ Operation Plan with a Time Flexible Pricing Strategy for High-Speed Rail Corridors

Optimizing the train plan for high-speed rail systems should consider both the passengers’ demands and enterprise’s benefits. The choice of the departure time period is the most important factor affecting the passenger demand distribution. In this paper, the optimization problem of a train operation plan based on time period preference is studied for a high-speed rail corridor. First, according to the travel process of the passengers, the extended service network for a high-speed rail system is established. The main factors that influence the passengers’ travel choices are analyzed, and the departure time period preference, stop time and flexible pricing strategy based on the time period preference are put forward. The generalized travel cost function, including the convenience, ticket fare and stop time costs, is constructed, and a two-level programming model is established based on the function. The upper-level planning model is formulated as a mixed 0–1 programming problem that aims at maximizing the revenue of the railway enterprise. It is mainly constrained by passenger travel demand and solved by improved genetic algorithms. The lower-level model is a user equilibrium (UE) model. The Frank–Wolfe algorithm is used to allocate multiple groups of OD (origin and destination) passenger flows to each train so that the generalized travel expenses of all the passengers with the same OD are minimized and equal. Finally, the train operation plan is solved based on the Lan-xi (Lanzhou–Xi’an) high-speed rail data, and the validity of both the model and algorithm is verified.

Deep-Learning-Powered GRU Model for Flight Ticket Fare Forecasting

Forecasting flight fares is a critical task in the rapidly expanding civil aviation industry and involves numerous factors. However, traditional airfare prediction systems are ineffective due to the complex and nonlinear relationships of multiple factors, which are not able to accurately account for the impact of different attributes such as time period. To tackle these issues, in this study, we proposed a novel approach that utilizes a deep-learning model, specifically, the Gated Recurrent Unit (GRU), by incorporating 44 decision features. The proposed model is able to capture the intricate relationships between various factors effectively and predict air ticket prices with high accuracy. In the experiments, it was found that the GRU model significantly outperforms not only classic machine learning models but also the MLP and LSTM in terms of assessment indicators of mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The GRU model is thus promising concerning the fare prediction of flight tickets.

Market competition oriented air-rail ticket fare optimization

In the business of intermodal passenger transport, fare optimization of intermodal products has significant effects on corporate revenue and passenger travel convenience. This study takes the competitive relationship between high-speed rail (HSR) and airlines as well as carrier connectivity as the starting point, analyzes the advantages and disadvantages of different carriers in the different markets, and researches the optimization of fares. The stochastic user equilibrium model based on elastic demand is used to establish a bi-level programming model for the optimization of fares; the upper and lower models are solved using the particle swarm algorithm and method of successive averages, respectively. The results suggest that airlines are willing to cooperate with the HSR sector and improve the connectivity between aviation and HSR, and a reasonable pricing strategy is more likely to motivate cooperation between aviation and HSR.

Estimating the Economic Viability of Advanced Air Mobility Use Cases: Towards the Slope of Enlightenment

While different vehicle configurations enter the AAM market, airlines declare different ticket fares for their operations. This research investigates the operating cost of an airline and the economic viability with the announced fare per km rates. For this purpose, three use cases in the metropolitan area of Hamburg showcase representative applications of an AAM system, whereby a flight trajectory model calculates a flight time in each case. The direct operating cost are investigated for each use case individually and are sub-classified in five categories: fee, crew, maintenance, fuel and capital costs. Here, each use case has its own cost characteristics, in which different cost elements dominate. Additionally, a sensitivity analysis shows the effect of a variation of the flight cycles and load factor, that influences the costs as well as the airline business itself. Based on the occurring cost, a profit margin per available seat kilometer lead to a necessary fare per km, that an airline has to charge.

ANALYSIS OF FACTORS INFLUENCING THE PRICING OF AIR TICKETS

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 of air transportation, are extended to the selection and analysis of current data on the Russian market. The assessment of the degree of a possible influence of the considered price-forming indicators on air ticket fares was carried out using four econometric models of the dependence of ticket prices on exchange rates, fare/air route characteristics, socio-economic and secondary factors. They are checked for lowcost and economy segments based on information on 15 thousand of air tickets of Russian air carriers for the period from 19.01.2021 to 12.02.2021, presented in the form of a single data set. The data was collected independently by daily monitoring of information from the official websites of airlines, federal websites of Rosstat, and Rosaviation. As a result of the research conducted within the framework of this article, it was revealed that with an increase in the distance of the flight, the cost of the ticket increases proportionally. The average income of the population negatively affects prices in the economy and budget classes. A similar trend can be traced concerning the cost of jet fuel at the airport of departure and nonstop flights. Reducing the number of days between the dates of ticket purchase and flight departure will also affect the increase in ticket prices. With a decrease in the exchange rate of foreign currency, the cost of economy class air tickets changes significantly compared to the budget. The reverse trend is observed in the case of the IATA exchange rate, where the effect falls on the last group of shipments. The listed characteristics are identified as the most significant relative to the considered classes of tariff groups in the Russian aviation industry. The results of the work can be recommended to air carriers for use in the process of forming the cost of tickets to achieve maximum efficiency and profitability of the business, used by consumers of the airline services as a tool for finding and buying air tickets with the best conditions and offers.

Travel mode preferences among German commuters over the course of COVID-19 pandemic

The COVID-19 pandemic has changed the way how the people live, work and move, and naturally the transport sector became one of the most affected by this global crisis. Beyond the sudden fall of mobility at the beginning of the pandemic, it is important to understand how people are regaining trust in travelling, even if it is still unpredictable if and when the transport sector will recover to the pre-pandemic levels. This study focuses on the analysis of commuting trips and the changes of travel mode preferences over the first eight months of the pandemic in Germany. A survey with an orthogonal design based on sets of cards containing different transport mode alternatives and attributes was conducted in three waves (April, June, and October 2020). The individual characteristics and the preferences of around 4800 commuters were collected through the survey and modelled using a conditional logit approach. The results show that commuters have regained some trust on public transport since the April–May 2020 lockdown, but this has occurred at a slow pace. The reduction of public transport ticket fares can be the most effective strategy to recover some of the users lost to other modes.

Estimation of Air Emissions Externalities Due to Shipping: Analytical Methodological Framework

The main objective of this paper is to present an analytical methodological framework for the estimation of the external costs of air emissions from passenger ships. We used as a case study the two main ports of Crete (Souda and Heraklion) and studied all passenger ferries and cruise vessels that visited these ports in the last 5 years (2017–2021). A detailed inventory was created containing all technical details for 10 passenger ferries (owned by three different shipping companies) operating every day, following various itineraries all year around, and 88 different cruise vessels (which approached both ports mainly during the summer period). The estimated external costs due to air emissions cover health effects, materials and building damages, biodiversity and crop losses. Two levels of calculations for the total external costs per pollutant were implemented. At the first level, a bottom-up approach was applied to accurately calculate the total annual air emissions (CO2, SOX, NOX, PM2.5, PM10), while for the second level, the cost factors per pollutant were used as input values to estimate the annual total external costs. One of the most important findings is that externalities comprise a significant amount of shipping companies’ revenues (about 25–35%), thus, implying a substantial revenue loss in the case that they would be asked to bear these costs. Assuming that ship owners will pass these costs on to ticket fares, an attempt is made to allocate the “externalities surcharge” (i.e., the burden of external costs) to ticket fares per transportation category.

Analysis of Saturated Capacity on the Runway Based on Advisory Circular 150/5060-5 As a Study Material for Airport Management Learning

The demand for air transportation from year to year until 2018 continues to increase. However, in 2019 it decreased as a result of the increase in air ticket fares, as well as in 2020 as a result of the COVID-19 pandemic. Although demand is experiencing a decline, knowing airport capacity is important in airport planning, which is one of the disciplines studied in airport management. Therefore, this research aims to estimate the saturation capacity of the runway at Sultan Mahmud Badaruddin International Airport (SMB) II, using the method developed by the Federal Aviation Administration (FAA) and specified in the Advisory Circular 150/5060-5. The results of this study can be used as study material in learning the field of airport management science. Based on the data obtained and processed, the results show that the saturation capacity of the runway per hour for runway 11 directions is 53 for Visual Flight Rules (VFR) and 49 Instrument Flight Rules (IFR). Meanwhile, the direction of runway 29 is 50 in VFR conditions and 46 in IFR conditions. So that the average saturation capacity for both runway directions is 51 in VFR conditions and 48 in IFR conditions. This runway capacity calculation method cannot accommodate differences in the flight separation rules applied, so that this capacity will be achieved if Airnav Indonesia, Palembang Branch as the manager of flight navigation services at SMB II Airport applies the same rules as the FAA. The currently applied separation rules are relatively larger than those set by the International Civil Aviation Organization (ICAO) and also the FAA. As an ICAO member country, it is still possible to lower the separation rules set by ICAO to increase runway capacity.The conclusions of the research have been obtained from the analysis of the saturated capacity of the runway based on the advisory circular 150/5060-5 which has been used as a study material for learning in the field of airport management science.

Effectiveness of carbon tax and congestion cost in improving the airline industry greening level and welfare: A case of two competing airlines

In this paper, we examine the combined impact of carbon-tax policy, congestion cost and greening investment decisions of airlines. We model a Bertrand duopoly sequential move game to analyze the impact of airlines' decisions on ticket fare and greening effort, as they contemplate upon the cost option of greening investment and carbon tax. We model a duopoly market where incumbents and new entrant airlines compete in similar market. Our findings suggest that marginal utility of flight frequency decreases with ‘congestion toll’. In its absence, airlines have the opportunity to operate smaller aircrafts with high frequency. Secondly, our findings also suggest that airlines have higher ‘greening interest’ when emission taxes are imposed; without which, airlines are reluctant to invest in green technology. Additionally, our numerical simulations suggest that carbon tax, combined with congestion cost, may be used as an effective instrument to improve an airline's social welfare, and drive it towards green development. In fact, an efficient investment strategy can guide an airline to use greening services for their competitive advantage.

Prediction of Willingness to Pay for Airline Seat Selection Based on Improved Ensemble Learning

Airlines have launched various ancillary services to meet their passengers’ requirements and to increase their revenue. Ancillary revenue from seat selection is an important source of revenue for airlines and is a common type of advertisement. However, advertisements are generally delivered to all customers, including a significant proportion of people who do not wish to pay for seat selection. Random advertisements may thus decrease the amount of profit generated since users will tire of useless advertising, leading to a decrease in user stickiness. To solve this problem, we propose a Bagging in Certain Ratio Light Gradient Boosting Machine (BCR-LightGBM) to predict the willingness of passengers to pay to choose their seats. The experimental results show that the proposed model outperforms all 12 comparison models in terms of the area under the receiver operating characteristic curve (ROC-AUC) and F1-score. Furthermore, we studied two typical samples to demonstrate the decision-making phase of a decision tree in BCR-LightGBM and applied the Shapley additive explanation (SHAP) model to analyse the important influencing factors to further enhance the interpretability. We conclude that the customer’s values, the ticket fare, and the length of the trip are three factors that airlines should consider in their seat selection service.

Microscopic Disruption Management: Energy Consumption and Passenger Compensation Optimisation

Rail operations are often disrupted by accidents that cause traffic to diverge from the scheduled operations, rendering it difficult to run the schedule as planned. In such a case, the operator must change the schedule to return to the original schedule. If passengers are delayed, a train operator may have a policy of economically compensating them (e.g., refunding ticket fare). Compensation amounts are usually determined by the length of the delay. As a result, it is critical to have a smart way of determining whether to accelerate trains to absorb delays, thus increasing energy usage, or to compensate passengers. This paper presents a mathematical model for determining the speed profile while taking passenger usage into account. The model determines the best sequence of operating regimes and switching points between them for a variety of different situations and train types, all while accounting for delays and passenger compensation policies. The aim is to reduce both the amount of energy consumed and the amount of compensation paid to passengers. There are constraints on traction and braking forces, train velocity, forces induced by vertical and horizontal track profile, and passenger compensation policy. The results of computational tests performed on practical problem instances of the Spanish rail operator RENFE are showed. The suggested approach is capable of producing strategies that strike an excellent balance between different managerial objectives.

Influence of service quality, loyalty programme and perceived value on word-of-mouth behavior of domestic and international airline passengers in India

Purpose This paper aims to investigate the combined effect of airline service quality (ASQ), loyalty programme and perceived value (PV) on word-of-mouth (WOM) behavior of passengers’ traveling to domestic and international destinations from India. Design/methodology/approach Passenger’s perception on service quality, loyalty programme and PV varies with flight type, which can affect WOM. This study was designed to know whether destination based difference in passengers’ perception on airline services affects their WOM. Hence, a sample of 554 frequent passengers was taken, which includes 358 domestic and 196 international passengers. The responses were collected using well-structured questionnaire. The hypothetical model was developed and tested using structural equation modeling using analysis of a moment structures (AMOS). Findings Travel destination (flight) type moderates significantly the effect of ASQ on WOM behavior. ASQ affects WOM behavior more in domestic passengers. PV and loyalty programme do not moderate significantly with respect to destination type. PV was found to have significant influence on international passengers. However, loyalty programme was significant among domestic passengers. Practical implications Airline managers can develop appropriate marketing strategies targeting the passenger influencing attributes. ASQ is the most significant attribute applicable to both flight types. The airlines can focus on attractive ticket fares for international passengers and more loyalty programme benefits for domestic passengers. Originality/value This study examined the combined effect of ASQ, loyalty programme and PV on WOM behavior of passengers traveling in domestic and international sectors, which has not been researched yet.

REGULATION OF MAXIMUM TARIFF OF FLIGHT TICKETS FOR ECONOMIC CLASS PASSANGERS IN INDONESIA

Minister of Transportation Decree No. 106 of 2019 is a government reaction to soaring flight ticket fare on domestic routes. This Minister Decree aims to prevent unfair business competition practices as mandated by Law No. 5 of 1999. On the other hand, Law No. 5 of 1999 itself does not provide an explanation of what kind of price fixing referred to by Article 5 of the Act. This then raises a question regarding business competition between business actors. This legal issue starts from the most basic condition whether the airline have carried out the sale of airline tickets that do not harm passengers, and of course there is a legal basis. The society's need for air transportation is increasing every year, but is constrained by the increasingly expensive airline ticket rates. The society and business actors need the role of the government to be able to make policies that are impartial while still considering the interests of the society and business doers.

Mode Choice Modelling Between Bus and Train Under the New Normal Condition

The passenger movements were limited by the government policies that made new system decisions, namely large-scale social distancing policies. However, over time several regions in Indonesia have begun to end large-scale social distancing called new normal. The new normal condition has undoubtedly changed the pattern of mode choice of the passenger. Little attention has been paid to the travel mode choice under the new normal condition. Therefore, this study aims to understand the travel mode choice model of train and bus, especially in the new normal era. The primary data was collected using the stated preference online-based survey. This study performed a Binomial-Logit-Difference model. From the modelling result, 89% of the passenger will choose the bus if the train's travel fare is IDR 160,000 higher. The probability value will be equal when the ticket fare of the bus is IDR 25,000 higher than train’s travel cost. It indicates that people choose the bus mode because of the travel cost factor. Directions for the future study are presented

WITHDRAWN: An advanced automated bus ticket fare collection system for metropolitan cities using GPS and RFID technologies

Public transport contributes a predominant role in economic prosperity of a country. The main purpose of this system is to overcome the problems faced by traditional ticketing system and to increase the use of digital currency. In this proposed methodology, RFID is used to identify a passenger and money deduction will be done based on the distance that has been travelled by any passenger. GPS has been deployed in this ticketing system to identify the initial and destination location. Ticket fare is issued based on the GPS information. After debiting the money from wallet, the passenger gets a confirmation message with the help of GSM modem.