Departure Frequency Research Articles

An Integrated Multi-Objective Optimization for Dynamic Airport Shuttle Bus Location, Route Design and Departure Frequency Setting Problem.

An airport shuttle bus (ASB), as an environmentally friendly mode of green transportation, is an effective way to solve the "first/last mile" of aviation passengers, which can attract a higher passenger transfer from private cars to public transport, thereby reducing emissions of carbon dioxide and other polluting gases. This study presents a multi-objective mixed-integer linear programming for ASB services in a dynamic environment. Taking into account time-varying demand and travel time characteristics in different periods, the proposed model provides a comprehensive framework that simultaneously advises passengers to join the bus at the nearest bus stations, designs routes for transporting them from these selected stations through the airport, and computes their departure frequencies in multiple periods. The primary objective is to optimize both the total ride time and waiting time for all passengers. The secondary objective is to optimize the total transfer distance of all passengers simultaneously. Given the Non-Deterministic Polynomial (NP) hardness of this problem, a two-stage multi-objective heuristic approach based on the non-dominated sorting genetic algorithm (NSGA-II) is combined with a dynamic programming search method and further advanced to obtain the Pareto-optimal solutions of the proposed model within a reasonable time. Finally, the proposed model and algorithm feasibility are proved by a test example of designing a shuttle bus route and schedule at Tianjin Airport, China. The results show that the total passenger travel time of the presented model is markedly reduced by 1.21% compared with the conventional model.

Lattice Boltzmann Simulation of Optimal Biphilic Surface Configuration to Enhance Boiling Heat Transfer

To study the processes of boiling on a smooth surface with contrast wettability, a hybrid model was developed based on Lattice Boltzmann method and heat transfer equation. The model makes it possible to describe the phenomena of natural convection, nucleate boiling, and transition to film boiling, and, thus, to study heat transfer and the development of crisis phenomena in a wide range of surface superheats and surface wetting characteristics. To find the optimal configuration of the biphilic surface, at the first stage a numerical simulation was carried out for a single lyophobic zone on a lyophilic surface. The dependences of the bubble departure frequency and the departure diameter of the bubble on the width of the lyophobic zone were obtained, and its optimal size was determined. At the next stage, the boiling process on an extended surface was studied in the presence of several lyophobic zones of a given size with different distances between them. It is shown that in the region of moderate surface superheat, the intensity of heat transfer on biphilic surfaces can be several times (more than 4) higher compared to surfaces with homogeneous wettability. Based on numerical calculations, an optimal configuration of the biphilic surface with the ratios of the lyophobic zones’ width of the order of 0.16 and the distance between the lyophobic zones in the range of 0.9–1.3 to the bubble departure diameter was found.

Modal Choice Probability Study from Bus to Train At Jombang – Babat Railway Line Reactivation Design

Currently, the transportation mode which connects Jombang City to Babat City in Lamongan Regency on trip is still using bus. This current transportation mode is under appropriated to serving passengers because there are lack of comfortable, unclean, and long headway time approximately 2 – 3 hours for a same routes. Based on these problems, research about intermodal transportation and modal choice probability is suitable. Intermodal transport is designed to revitalize train routes from Jombang to Babat City. A modal choice probability study obtains the number of predicted passengers which can be switched from the existing transportation mode (bus) to the designed transportation mode (train) by using the Stated Preference method. By creating intermodal transportation, obtained train circulation time plan was 303,49 minutes, the headway time plan was 118,6 minutes, the rolling stock plan requirements are three sets of trains and the ticket price plan is IDR 11.500/passenger. According to the difference between train and bus ticket price when the price of train ticket is lower than bus the result of modal choice probability is 0,88. According to the difference between train and bus travel time when train travel time is faster by 42 minutes than bus the result is 0,87. Then due to departure frequency between train and bus when the number of train departures is more thanfive times per day, the probability analysis results is 0,83.

Development and assessment of five-component wall boiling heat flux partitioning model

A mechanistic framework of wall boiling model with the total heat flux partitioned into five components, i.e. solid quenching, sliding-induced transient conduction, lift-off induced transient conduction, evaporation and single-phase convection, is developed and implemented into the unsteady two-fluid solver in the OpenFOAM. As important sub-models, bubble departure diameter, lift-off diameter and sliding length are calculated based on force balance analysis. A two-phase wall function is employed to account for the effect of nucleated bubbles on the near-wall turbulence. The developed model framework is assessed with the DEBORA experiment with the R12 as work fluid at the pressure of 1.46 MPa and 2.62MPa. The assessment indicates that the two-phase wall function improves prediction of liquid and vapor velocity profile and that the void fraction, the liquid and wall temperature can be well predicted. Under the condition of lower pressure and higher surface heat flux, bubble grows faster, which increases bubble departure and lift-off diameter. Higher liquid mass flux increases quasi-steady drag force and shear lift force, which consequently reduces the bubble departure and lift-off diameter. Due to large nucleation site spacing, relatively large sliding length appears in the lower-pressure cases. Nucleation awaiting time dominates the bubble departure frequency which increases steeply when the near-wall liquid approaches saturated. Comparing with the RPI model, the current model predicts relatively small evaporation heat flux. The predicted solid quenching and transient conduction heat flux induced by bubble lift-off are less significant in all the cases. The calibrated algebraic bubble size model can be adequate in the simulation of subcooled boiling at high pressure condition.

Multiscale numerical research on nucleate boiling enhancement from microscale to nanoscale

Nucleate boiling enhancement from surfaces in energy industries is of fundamental significance for improving energy conversion and thermal management efficiency. This study investigates the microscale and nanoscale boiling processes on the hybrid wettability micropillar structured surface (MPS) to continuously enhance nucleate boiling. The microscale and nanoscale boiling processes and underlying enhancement mechanisms are studied by Lattice Boltzmann Method (LBM) and Molecular Dynamics (MD) simulations, respectively. It is revealed that MPS designed with a hydrophilic bottom surface and a hydrophobic top surface decorated with nanopillars can improve nucleate boiling throughout the microscale and nanoscale boiling process. The microscopic boiling process of the hybrid wettability MPS shows that the synergistic effect of wettability and surface structure is attributed to nucleation boiling enhancement due to higher bubble nucleation density and higher bubble departure frequency. The nanoscale boiling process on hydrophobic nanopillar structured surfaces (NPS) shows further nucleate boiling enhancement. The NPS with a nanopillar height of 1.6268 nm is in the Wenzel state with higher heat flux and lower thermal resistance, resulting in faster boiling onset and shorter separation time, while the hydrophobic NPSs in the Cassie state leads to a deterioration in the nucleate boiling.

Experimental Investigation and Modeling of Bubble Departure Frequency for Pool‐Boiling Heat Transfer

AbstractThe artificial neural network (ANN) method and response surface methodology (RSM) were used to predict the bubble departure frequency for the pool‐boiling heat transfer of pure liquids, by using experimental data. The effects of vapor‐liquid density difference, vapor‐liquid viscosity difference, surface tension, thermal conductivity, and heat flux on the departure frequency of vapor bubbles were investigated by RSM and ANN. The results showed that the outputs of the ANN and RSM had a suitable overlap with the experimental data, but the RSM model was more accurate than the ANN model.

Reliable predictions of bubble departure frequency in subcooled flow boiling: A machine learning-based approach

• A large database for bubble departure frequency is amassed. • Nine machine learning algorithms are developed. • Optimal models performed better than prior universal correlations. • The effect of parameters on departure frequency was studied. Boiling is a very effective heat transfer mechanism, which has been widespread applicable to many engineering and industrial fields. Moreover, a critical parameter in nucleate boiling is the bubble departure frequency, which arrives at accumulations of heat carried out by vapor bubbles from the heating surface. However, because of the complex behaviors in the phase change process, there are few reliable approaches to predict bubble departure frequency. In this study, a consolidated dataset is utilized to predict bubble departure frequency in subcooling flow boiling using machine learning-based approaches. A consolidated dataset of bubble departure frequency, including four working fluids in subcooling flow boiling, is formed. Nine machine learning-based regression models are well discussed. As well as the input parameters, including geometric and dimensionless parameters, are also contrasted for a suitable approach. Generally speaking, the XGBoost model shows the most significant performance at predicting bubble departure frequency, better than highly reliable generalized prediction correlations. The machine learning-based approach unlocks a reliable tool for bubble departure frequency prediction.

Boiling heat transfer enhancement on titanium through nucleation-promoting morphology and tailored wettability

• Cavity- and spear-type TiO 2 nanostructures are prepared by hydrothermal treatment. • Nucleation-promoting cavity morphology is superior to spear-like microstructure. • Hydrophobic surface with microcavities (CTH) provides HTC enhancement of over 200%. • High nucleation site density on CHT surface narrows surface temperature distribution. • ONB at 2.5 K and D b of 0.55 mm are observed on hydrophobic microcavity surface. Surface engineering aimed at tuning the wettability and morphology of the boiling surface is a facile approach to moderate and enhance the nucleate boiling process. Key issues include control over the active nucleation site density, bubble departure frequency and liquid replenishment of active nucleation sites while simultaneously reducing the bubble nucleation temperature. In this study, we fabricated spear-type (ST) and cavity-type (CT) TiO 2 nanostructures on 25 μm titanium foils via hydrothermal etching in an alkaline solution. High-speed IR and video cameras were used to detect local phenomena in terms of temperature and heat flux fluctuations and observe the bubble dynamics during saturated pool boiling of water. Intrinsically hydrophilic ST and CT surfaces provided a moderate overall enhancement of the heat transfer coefficient compared to an untreated surface due to increased nucleation site density and bubble frequency. The CT surface also decreased the bubble nucleation temperature due to effective vapor-entrapping and nucleation-promoting cavities. In a further step, both surfaces were hydrophobized through chemical vapor deposition of a fluorinated silane to tailor the wettability of the surface into a superhydrophobic state. This further reduced the average surface superheat by at least 40%, while the nucleation frequencies exceeded 200 Hz on the hydrophobized CT surface. In comparison with the untreated reference surface, the heat transfer coefficient on hydrophobized ST and CT surfaces was enhanced by 89% and 237% at 100 kW m −2 , respectively. Moreover, the full width at half maximum (FWHM) value of the surface temperature distribution was reduced by 73% and 95% at the same heat flux, respectively. The study confirms that hydrophobic surface treatment can significantly enhance the nucleate boiling process when combined with an appropriate surface structure. Despite the affinity between the vapor and the hydrophobic layer, the cavity-type and spear-type TiO 2 structures are able to maintain active nucleation sites well-separated, which prevents the undesirable vapor spreading that possibly leads to an early onset of critical heat flux.

Nature-Inspired High Temperature Scale-Resistant Slippery Lubricant-Induced Porous Surfaces (HTS-SLIPS).

Scale formation is a longstanding and unresolved problem in a number of fields, including power production, petroleum exploration, thermal desalination, and construction. Herein, a high-temperature scale-resistant slippery lubricant-induced surface (HTS-SLIPS) is developed by one-step electrodeposition and lubricant infusion. The fractal cauliflower-like morphology with lubricant oil is conducive to forming an ultralow contact angle hysteresis of ≈1°. The 10-d real-world boiling trial indicates that by replacing the uncoated surface with HTS-SLIPS, the reduction in scale mass is greater than 200% because of the low surface free energy (4.3 mJ m-2 ) and outstanding smoothness (Ra = 41 ± 8nm) of HTS-SLIPS. Thanks to the scale retardation, the bubble departure frequency of HTS-SLIPS is eightfold higher than that of uncoated surfaces, signifying superior heat transfer efficiency. In these demonstrations, HTS-SLIPS coated spiral tube exhibits better flowability and lower pressure drop than the uncoated one. In addition, favorable compatibility between HTS-SLIPS and mechanical vibration is experimentally verified to strengthen the descaling of SLIPS synergistically. It is anticipated that the simple and scalable coating fabrication approach will be applicable in numerous industrial high-temperature processes where scale formation is encountered.

Bus travel time reliability incorporating stop waiting time and in-vehicle travel time with AVL data

Improving bus travel time reliability can attract more commuters to use bus transit, and therefore reduces the share of cars and alleviates traffic congestion. This paper formulates a new bus travel time reliability metric that jointly considers two stochastic processes: the in-stop waiting process and in-vehicle travel time process, and the bus travel time reliability function is calculated by the convolution of independent events’ probabilities. The new reliability metric is defined as the probability when bus travel time is less than a certain threshold and can be used in both conditions with and without bus transfer. Next, Automatic Vehicle Location (AVL) data of the city of Harbin is used to demonstrate the applicability of the proposed method. Results show that factors such as weather, day of the week, departure time, travel distance, and the distance from the boarding stop to the bus departure station can significantly affect the travel time reliability. Then, a case with low bus departure frequency is analyzed to show the impact of travelers’ arrival distribution on their bus travel time reliability. Further, it is demonstrated that the travel time reliabilities of two bus transfer schemes of the same Origin–Destination (O–D) pair can have significantly different patterns. Understanding the bus travel time reliability pattern of the alternative bus routes can help passengers to choose a more reliable bus route under different conditions. The proposed bus travel time reliability metric is tested to be sensitive to the effect of different factors and can be applied in bus route recommendation, bus service evaluation, and optimization.

Experimental studies for the combined effects of micro-cavity and surface wettability on saturated pool boiling

Experimental studies are conducted to investigate the combined effects of micro-cavities and surface wettability on the pool boiling heat transfer performance and mechanisms. Four types of surfaces are subjected under this study. FS is flat copper surface used as the baseline while MC-FS is flat copper surface modified by micro-cavity structures. MC-SHPi combines micro-cavity structure and superhydrophilicity, and it exhibits excellent boiling heat transfer performance in the high heat flux region. MC-SHPo combines micro-cavity structure and superhydrophobicity, and it yields a better boiling heat transfer performance when the heat flux is lower than 20 W/cm2. The HTCmax is found to be 5.24, 7.21, 9.14 and 12.41 W/cm2·K corresponding to the FS, MC-SHPo, MC-FS, and MC-SHPi following ascending order. MC-FS increases the nucleation sites density due to the existence of irregular multiscale structures of 100 nm – 3 μm on the micro-cavity walls. MC-SHPo further increases the nucleation sites density, as hydrophobicity broadens the size range of effective nucleation site radii. MC-SHPi enhances the bubble departure frequency fd, and the experimental values of fd1/2Db on test surfaces exhibit a linear increase with Jakob number.

Vapor condensation on micropillar structured surface with lattice Boltzmann method

Pure vapor condensation process and heat transfer on micropillar structured surfaces with various wettabilities are simulated numerically based on an improved three-dimensional phase-change lattice Boltzmann method (LBM). Condensed droplet dynamic behaviors containing nucleation, growth and departure are mainly explored. Two preferable droplet nucleation sites are detected successfully: at the corner between micropillar sides and subcooled substrate, and at the center of substrate. The effects of contact angle, micropillar spacing and height on droplet nucleation time, departure diameter and departure frequency are investigated quantitatively. Results indicate that as the contact angle increases, nucleation of condensate is delayed, while the departure diameter is reduced and departure frequency is increased. The increase in micropillar spacing, height and contact angle changes droplet from Wenzel state to partial wetting state. Moreover, it is also shown that the highest temperature and maximum local heat flux appear at the three-phase contact line. Despite the very complex roles of micropillar structures and wettability on condensation heat transfer, an optimal heat transfer surface with configurations of contact angle of 90°, micropillar spacing of 12 and height of 18 is presented. This study provides a fundamental understanding in regards to vapor condensation on microscale structured surface from numerical view.

In situ boiling-induced self-assembly of stably self-dispersed crumpled graphene for efficient utilization of thermal energy

Boiling can induce the self-assembly of nanomaterials in nanofluids to generate reliable micro/nanostructures for enhancing boiling heat transfer. The practical applications of most nanofluids in boiling, however, are limited by the poor thermal stability at the boiling point, and improving the thermal stability of nanofluids at such high temperature is challenging. Here, we demonstrate that the crumpled graphene can remain uniformly and stably dispersed within deionized water at the boiling point of 100 °C due to its highly wrinkled structure, while self-assembling to generate a porous structure on the substrate during boiling. Such porous structure can vary the surface micromorphology, wettability and roughness, which increases the nucleation sites and departure frequency of bubbles, thus effectively enhancing the critical heat flux and the maximum heat transfer coefficient by 80.7 and 89.1% compared to the pristine copper substrate, respectively. This in situ boiling-induced self-assembly provides a facile and low-cost strategy to achieve high-performance boiling heat transfer for a wide variety of nanomaterials. The crumpled graphene/water nanofluid used can be directly utilized as a phase change working medium in boiling systems to harvest thermal energy and generate clean steam.

Analisis Potensi Permintaan (Demand) Trans Siginjai Rute Telanai Pura - Sengeti

Jambi City is the capital city of Jambi Province as the center of government, education, business and trade. As a city center, it will certainly continue to develop. The mobility of the people certainly increases and causes movement, and the population continues to increase. Impact on increasing community economic and socio-cultural movements as well as community movement activities by transportation vehicles on road traffic. The operation of the trans Siginjai bus transportation mode with the aim of making it easier for people to reach places in urban areas and the buffer areas of the city of Jambi. The purpose of this study is to determine the characteristics of travellers and the choice of modes to determine the probability/potential demand (Demand) of trans siginjai by using the attributes of cost, travel time, waiting time, frequency of departure and level of comfort with stated preference method using 4 scenarios. Based on the results of the research, the probability/potential (Demand) of trans siginjai in scenario 1 is 79.7%, while private cars are 20.3%. In scenario 2, trans siginjai is 70.4% while private cars are 29.6%. In scenario 3 trans siginjai is 72.3% while private cars are 27.7%. In scenario 4, trans siginjai is 67.2% while private cars are 32.8%. From all the attributes of the transportation mode scenario, the probability/potential of the trans siginjai is greater than that of a private car and also from the 4 scenarios, the percentage of scenario 1 is greater than the other scenarios.

Comparison of pool boiling heat transfer performance between aqueous cationic and anionic surfactant solutions with similar ionic group

Pool boiling in aqueous surfactant solution is found to have a better heat transfer performance than that in distilled water. The present study intends to investigate the effect of functional ionic group in cationic or anionic surfactant on pool boiling performance. Two pairs of surfactants, namely, cationic surfactants of Dodecyltrimethylammonium bromide (DTAB) / Dodecyltrimethylammonium chloride (DTAC) and anionic surfactants of Sodium dodecyl sulfonate (SD-Sulfonate) / Sodium dodecyl sulfate (SD-Sulfate), are added into distilled water with a mass concentration of 100–3200 ppm. Boiling performance and thermophysical properties of the corresponded surfactant solutions are measured and compared with water. The bubble behaviour and surface wettability are also analyzed. Results indicate that the surfactant solutions can generally increase the heat transfer coefficient (HTC) compared with water and a higher concentration solution usually owns a greater HTC. The maximum relative HTC enhancement can reach up to 2.33 times. The reduction in surface tension and an additional repulsion force due to the addition of surfactant result in a denser nucleate site, a smaller bubble departure diameter and a faster bubble departure frequency, which results in a higher HTC. The surface tension reduction caused by surfactant addition and the boiling process make the copper surface more wettable, resulting in a higher critical heat flux (CHF). However, the surfactant also makes the fresh water supply difficult at a high heat flux and subsequently results in a lower CHF. The CHF is comprehensively affected by the surface wettability of boiling surface and surfactant concentration and their relative strength determines the final magnitude of CHF. The surfactants with a same or similar functional ionic group have similar boiling heat transfer performance in aqueous solutions. The present study can provide meaningful guidance for further pool boiling studies and relevant highly efficient heat exchanger design.

Optimization of Train Operation Planning with Full-Length and Short-Turn Routes of Virtual Coupling Trains

Virtual coupling uses wireless communication instead of mechanical coupling to ensure that trains are easily reconnected or disconnected. This technology can shorten the interval time between trains, give full play to the carrying capacity of lines, and improve the service level of urban rail transit. This paper optimizes the train operation plan with full-length and short-turn routes of virtual coupling trains by establishing a two-level optimization model. The upper model is used to minimize passenger travel time and enterprise operation cost, and the lower model to optimize the equilibrium of train load rate on short-turn routes. Meanwhile, a method based on the genetic algorithm is designed to solve the model. A case study of the Metro Line M has been carried out. The results can verify the efficiency and feasibility of the proposed method. The full-length and short-turn routes of virtual coupling trains can effectively reduce passenger travel time, enterprise operating cost and the number of vehicles, and improve the average load factor of the trains. Finally, sensitivity analyses are performed using three parameters which include departure frequency of the full-length train and short-turn train, starting and terminal station of short-turn route, and number of marshalled vehicles of the full-length train and short-turn train.

Mode Choice Probability Between Bus and Railway Cianjur-Padalarang Route

Travel between cities in the Bogor, Sukabumi, and Cianjur areas is only accommodated by road-based public transportation that is interstate bus. The government issued a policy to reactivate railroads from Bogor to Padalarang, so that the southern region of West Java are connected to the rail network. This research intention to analyze characteristics of socio-economic users, characteristics of trip users, and analyze how much passengers move from the current bus to the Cianjur-Padalarang train. Data were collected by distributing questionnaires using stated preference techniques and analyzed using binary logit difference model with linear regression. The attributes to be analyzed are the difference between travel costs, travel time, and frequency of departure. The characteristic of users were analyzed with descriptive statictic method. The socio-economic characteristics of the passengers obtained were majority is male, aged 21-30 years old, education level senior high school, worked as entrepreneurship, income Rp2.000.001-Rp3.000.000, transportation costs for a month Rp100.001-Rp300.000. The characteristics of trip users are dominated by origin from Cianjur destination to Padalarang to work (economy), the frequency of trips is 1-2 times per week, the reason choosing the bus because of the bus have more easier mobility, the main travel time is 121-150 minutes. The results of the calculation of model sensitivity, the potential for passenger transfer from bus to train will increase if the difference in cost and travel time between trains and buses is getting smaller, and the difference in frequency is getting bigger.

Model-based assessment of boiling heat transfer enhanced by coatings

The present study aims to investigate boiling heat transfer enhancement on coated surfaces, based on mechanistic models. An electrochemical deposition method was used to fabricate coatings on copper surfaces which enhance critical heat flux and heat transfer coefficient of deionized water by 35.5% and 40.1%, respectively, compared with a smooth surface. Bubble dynamics indicates that regardless of surfaces, scaling laws of Db*∝t*0.5 and Db*∝t*0.2 are followed in the inertia-controlled growth stage and the heat-diffusion-controlled growth stage, respectively, concerning normalized bubble diameter (Db*) and normalized bubble time (t*). The coating decreases the bubble departure diameter to one-third to half of that on the smooth surface and increases the departure frequency to three times that on the smooth surface. In addition, the coated surface provides more active nucleation sites which are 1, 2 order magnitude higher than the smooth surface. With these insights, a mechanistic heat transfer model was established by quantifying natural convection, transient heat conduction, and microlayer evaporation, which matches well with the measured pool boiling curve. In the end, critical heat flux was explored experimentally and theoretically. Inspired by the coalesced bubble behavior at high heat flux and the Kandlikar force model, a new force-balance model was proposed by incorporating a surface-dependent surface tension force and adding a new capillary wicking force. The present model presents a better prediction of critical heat flux, verified by the current measurement and the literature.

Experimental study of pool boiling heat transfer under rolling condition

Many heat exchangers inside ocean nuclear power plants (ONPPs) adopt pool boiling, and the additional inertial forces derived from complicated ocean motion will induce some unique thermohydraulic characteristics, which are still remaining to be further elucidated. In this paper, effects of rolling condition on pool boiling heat transfer are experimentally investigated by using the six-freedom platform. The variation of inertial forces during rolling periods are analyzed, and observations of bubble unique behaviors about nucleation, growth, coalescence, departure and wagging under rolling condition are implemented to verify the rolling effects on pool boiling heat transfer. The results show that rolling motion enhances pool boiling in both regions of natural convection and nucleate boiling. Maximum 23.9 % higher heat transfer coefficient (HTC) and 8.1 % higher critical heat flux (CHF) are obtained under rolling condition with amplitude A = 26° and period tp = 5 s. Bubble nucleation is improved by the rolling motion, which decreases the superheat degree at onset of nucleate boiling (ONB) and increases the nucleation site four times at this moment. Small bubbles grow and coalesce more drastically under rolling condition, and bubble departure is accelerated, with 11 %–19 % reduction of departure diameter and 23 %–32 % increase of departure frequency. This work can not only present fundamental mechanism for pool boiling heat transfer under rolling condition, but also serve as useful guidelines for designing pool boiling heat exchangers inside ONPPs.

Low-Cost Long-Distance Passenger Train Model

The introduction of low-cost long-distance passenger trains will improve transport availability, expand the geography of routes, increase train departure frequency, resulting thus in growth of passenger turnover and carriers’ incomes. From the standpoint of national economy, the emergence of trains of that kind will contribute to better transport mobility of population, labour market balance, tourist attractiveness of the country and its regions, to increase in GDP thanks to multiplicative effect. As a result of active implementation of state support measures for development of regional aviation, construction of high-speed highways, introduction of car sharing services, in recent years there has been a significant increase in competition in the long-distance passenger transportation market. Each segment of this market requires meeting the needs and expectations of a certain type of customer, reflecting the age, education, type of activity, income, physical condition of a passenger. The competitiveness of a particular type of transportation in the modern world, is based, first, on the widespread growth in the value of time as of a significant resource of human life, and consequently in speed of movement along all the route (from door to door) since life expectancy, in addition to extensive factors (hightech healthcare, healthy nutrition, etc.) evolves at the expense of intensive factors also which certainly include the saving of time for movement. The objective of this article is to describe the business model of a low-cost long-distance railway passenger carrier, to analyse technical, technological, organizational factors that form the model using the methods of economic analysis, observation, and comparison. It is concluded that key conditions for functioning of the model of a low-cost long-distance passenger carrier comprise among others operation of modern energy-efficient rolling stock, flexibility and promptness in development of the route network, identification of the travel frequency and the composition of low-cost trains.