Intercity Passenger Transportation Research Articles

Social responsibility as a source of satisfaction for worker-members in a social economy transport company

This research paper examines the relationship between corporate social responsibility (CSR) and worker-member satisfaction in social economy enterprises. Focusing on an intercity passenger transport company in Spain, the study examines the impact of CSR practices on worker-member satisfaction. The actions of the company were analyzed, and information was collected from 252 worker-members through a questionnaire on the aspects that make up CSR according to the European Commission. The research introduces a novel perspective by bridging the fields of CSR, social economy enterprises, and the intercity passenger transport sector, which have received limited attention together. The findings reveal a significant positive influence of CSR on worker-member satisfaction, highlighting the value of responsible business practices in enhancing employee satisfaction. This study contributes valuable insights to the literature on CSR and its impact on worker-member satisfaction and provides practical implications for social economy enterprises seeking to promote sustainable development through worker-members engagement. The contribution of this work is the method used itself, which allows the company to identify areas for improvement and make decisions when developing its CSR strategy.

Societal acceptance of urban air mobility based on the technology adoption framework

Urban air mobility (UAM) is regarded as a sustainable alternative for intercity and intracity passenger transportation. The objective of this study is to identify the psychological and attitudinal factors that predict behavioral intentions to adopt UAM. This study integrates the unified theory of acceptance and use of technology with the initial trust model to explain the adoption intention among potential users of UAM. Results show that social influence and initial trust are the most significant predictor of the usage intention, which, together with performance expectancy, facilitating conditions, and structural assurance, lead to positive attitudes toward UAM. Initial trust was dependent on all six antecedents considered, but most largely on structural assurance. These findings emphasize the role of institutional safety nets, including regulations and legal resources, in increasing initial trust and promoting initial diffusion of UAM. They also offer guidance for designing interventions to improve the societal acceptance of UAM.

The influence of YouTube content on travelers’ intentions to use Hyperloop trains: Using trust transfer theory

Although Hyperloop rail, a revolutionary mode of intercity passenger transport, has received considerable attention on YouTube, little is known about the extent to which potential travelers trust both YouTube content and the proposed Hyperloop transit service. The purpose of this study is to examine the effect of YouTube coverage on trust in, attitude toward, and risk perception of Hyperloop travel. Guided by the trust transfer theory, the study explores how trust transference leads to travel intention. With a total of 760 respondents taking part in a video experiment, the results show that trust successfully transfers from YouTube coverage to Hyperloop transit systems and subsequently influences the intentions of viewers to use Hyperloop trains. Although attitude is also reported to affect intention directly and positively, perceived risk has no such direct effect on intention. The study’s findings reveal that attitude mediates the affiliation between YouTube coverage, Trust in YouTube content, perceived risk, and intention. This research has theoretical and practical implications for academics and practitioners involved in the development of Hyperloop transit systems.

Assessing the sustainability of transport supply chains by double frontier network data envelopment analysis

The transport industry is one of the main contributors to environmental pollution. Sustainable supply chain management (SSCM) is an essential subject in the transportation industry. Today, one of the important goals of organizations is to evaluate the sustainability of supply chain (SC) because assessing the efficiency of SCs helps organizations to enhance their awareness of performance and develop managerial strategies. Data envelopment analysis (DEA) is a common technique to assess the sustainability. The objective of this paper is to propose a Malmquist productivity index (MPI) based on network data envelopment analysis (NDEA) model in the presence of integer data, undesirable outputs, and non-discretionary inputs. The NDEA models deal with the internal structure of decision making units (DMUs). The MPI reflects the productivity change over time. The proposed model can fully rank DMUs. To prove the applicability of the proposed model, the sustainability of intercity passenger transportation is evaluated.

Research on energy saving potential and countermeasures in China’s transport sector

As the people’s living condition improves, the energy demand in China’s transport sector has grown dramatically and will keep increasing in the short term. In this research, we adopted a bottom-up approach to conduct the energy conservation analysis in China’s transport sector during the 14th Five-Year Plan Period based on the LEAP model. This study aims to estimate the energy saving potential of the transport sector in China under three scenarios: the Business as Usual (BAU) scenario, the Energy Conservation (EC) scenario, and the Enhanced Energy Conservation (ECC) scenario. The results indicated that the total energy demand in China’s transport sector would continue to grow over the 14th Five-Year Plan Period, and it would come up to 665.29 million tons of coal equivalent (Mtce) by 2025 in the BAU scenario. The EC scenario and the EEC scenario would save 27.80 and 40.99 Mtce by 2025 compared to the total energy demand in the BAU scenario. Besides, the energy demand of freight transport, intercity passenger transport and urban passenger transport would reach 250.45, 60.75 and 353.89 Mtce by 2025 in the BAU scenario. The corresponding energy saving potential of freight transport, intercity passenger transport and urban passenger transport would be 20.45, 2.22 and 5.12 Mtce by 2025 in the EC scenario, and would be 27.64, 3.34 and 10.01 Mtce by 2025 in the EEC scenario. Considering the significant energy saving potential of the transport sector in China, several major tasks and policy recommendations were then proposed to further reduce the transportation energy consumption.

Sensitivity analysis of intercity public passenger flow based on prospect theory

The contradiction between traffic supply and demand in different periods of intercity transport corridor becomes increasingly prominent, and there is a large waste of transportation resources. In order to analyze the passenger flow sensitivity for different modes of transportation at different periods of time under the change of high-speed railway ticket price, a generalized travel prospect cost minimum assignment model is constructed. Then, the passenger flow of different travel modes in each period of the intercity passenger transport corridor is calculated, the passenger flow sensitivity model and the sensitivity rate model are also constructed. Taking Tianjin-Beijing intercity passenger transport corridor as a case study, the results show that when the ticket price reduces, the passenger flow sensitivity change rate of each mode in each period increases linearly. The increase of ticket price has little influence on all modes of transportation in each period. In the same range of ticket price fluctuation, the sensitivity of passenger flow of high-speed railway is the largest when the ticket price changes in the period of negative supply-demand balance, and the sensitivity of passenger flow corresponding to the reduction of ticket price is about twice that of passenger flow corresponding to the increase of ticket price. The research work provides a theoretical reference for optimizing the traffic structure of Tianjin-Beijing intercity passenger transport corridor.

Повышение безопасности дорожного движения в условиях профессионального подбора водителей с учетом психофизиологических качеств

The professional suitability of a driver in motor transport enterprises is often limited by medical indicators, age and experience. Having a driver’s license of category B or C, driving experience of at least 3 years and a candidate who has reached the age of 21, within a few months of training can become a bus driver. Taking into account the increased social responsibility of the bus driver’s professional activity, it is important to apply an integrated approach to recruitment. The relevance of the work is confirmed by the results of an experimental study of the influence of the level of development of psychophysiological qualities of drivers on accident rates. It was found that at the enterprise in which professional selection of drivers was carried out using psychophysiological testing, the accident rate is 62.5% less than at the enterprise in which testing was not carried out. The aim of the work is to improve road safety in the conditions of using a set of methods of professional selection of drivers, taking into account psychophysiological qualities. The paper uses methods of mathematical statistics, the content component for which was obtained using the software and hardware complex UPDK-MK “Driving School” JSC (Neurocom). As a result of the conducted research, the possibility of differentiating candidates for the position of driver by types of transport work at the stage of professional selection is proved, which helps to reduce potential driver errors, thereby increasing its reliability and driving safety. Of the total number of candidates, 58% showed a high level of psychophysiological qualities. The distribution of the shares of candidates by types of transport work has been established: urban freight transportation — 31%, intercity freight transportation — 16%, urban passenger transportation — 6% and intercity passenger transportation — 5%. The scientific novelty of the study is the share distribution of successful candidates for the driver’s position in the conditions of using a set of techniques that differ from the well-known ones in that at the stage of professional selection it allows differentiating candidates by types of transport work: urban and intercity, freight and passenger transportation. The practical significance of the study is to improve road safety through the use of a differentiated approach to the selection of drivers of motor transport companies, taking into account the transport work performed. Further research is aimed at creating a system for improving the psychophysiological characteristics of drivers and candidates for drivers.

Research of the possibilities of the development of cruise tourism in the Black Sea regions of Russia

After the collapse of the Soviet Union, the centralized system of organizing tourism, excursion activities, hotel services, coastal sea passenger traffic ceased to exist. The company "Yalta Travel and Excursion Bureau",which organized excursions around the Crimea at the highest level, and also trained qualified guides, was closed. With the collapse of the all-Union system "Intourist", the training of highly qualified personnel of guide-interpreters with professional knowledge of foreign languages has practically ceased. The Yalta commercial seaport has practically lost the function of the main organizer of sea coastal and intercity passenger transportation (until 1991, about 40 passenger boats of the port operated during summer navigation. In the past, in 2020, there were only three ships). Private companies began to enter the market, which in the process of conquering market segments and competition have lost many achievements in tourism and excursion activities (including maritime ones). Today, many coastal passenger excursion routes are forgotten. Nevertheless, today's opportunities for organizing sea travel have significant potential.

МЕТОДИКА ПОДБОРА ВОДИТЕЛЕЙ С УЧЕТОМ ПСИХОФИЗИОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ПО ВИДАМ ВЫПОЛНЯЕМОЙ ТРАНСПОРТНОЙ РАБОТЫ

The article presents an analysis of the process of interaction of a motor transport enterprise with a psychological service, the result of which is a study of the psychophysiological characteristics of the driver. Significant psychophysiological indicators have been determined that affect the efficiency of various types of transport work. A methodology has been proposed that allows differentiating drivers by the transport work performed: urban and intercity transportation, freight and passenger transportation based on a study of psychophysiological features.

Improvement of mechanisms of control of network interactions of transport in organization of international passenger transportation

In this article, the author has set the task of improving the mechanisms for managing the network interaction of transport in the organization of intercity passenger transportation. In order for this goal to be achieved, it is also necessary to solve a set of scientific tasks: to determine the potential for the development of combined passenger transportation in the context of organizing network interaction between transport companies based on an analysis of the state of passenger transportation by public transport modes. To systematize models for organizing combined passenger transportation based on a generalization of domestic and international experience and propose a model of network interaction between participants in the Russian transport market, implemented on the basis of digital technologies to ensure seamless mobility of the population; Develop guidelines for assessing the economic effect of organizing network interaction between transport market participants while ensuring seamless mobility of the population in the context of the consolidating role of railway transport. To solve the problems that were identified to achieve the goal of the study, general methods of scientific knowledge were used: analogy, induction and deduction, synthesis, method of comparative analysis, statistical, grouping and generalization of data, economic-mathematical and expert-heuristic methods, factor analysis. The main scientific result of this article is the developed model of network interaction of participants in the Russian transport market, which, in contrast to the models used, which determine the lengthening of the value chain and are mainly focused on ensuring its control, is aimed at "connecting to the network" of new participants when creating a new value proposition. - seamless mobility of the population. In this article, the author made an attempt of scientific analysis and critical understanding of the problem of improving the mechanisms for managing the network interaction of transport in the organization of intercity passenger transportation.

MRSI: A multimodal proximity remote sensing data set for environment perception in rail transit

Rail transit is becoming a major mode of rapid urban and intercity passenger and freight transportation, and its safe operation is of great significance in safeguarding people's lives and properties and maintaining social stability. The current scheme of manual hazard monitoring in rail transit still remains potential safety risks. Accurate rail scene understanding is an essential step towards a smart train. Limited by the closeness of railway scenes, not much research has been conducted on the perception and understanding of rail transit. In view of the above, we propose multimodal remote sensing image (MRSI), the first multimodal proximity remote sensing data set for rail scene understanding. MRSI consists of 27k images collected from freight rail and metro following the pixel and box annotations labeled and checked manually. We used a variety of sensing devices mounted on locomotives to record track scenes under different lighting and weather conditions, including straight, curve, and fork during daytime, dusk, and nighttime, as well as under rainy days. We also include an additional infrared thermometer in the metro environment, propose a new image registration method after synchronous acquisition, and thus construct MRSI combining spatial and radiometric properties. With this data set, we can achieve segmentation of the track area and recognition of obstacles by sensing the environment in front of the train, which lead to rail scene understanding. MRSI is publicly available at https://zenodo.org/record/5732905#.YaPIpsdBwdU.

Comparative analysis of the structure of passenger transportation in Russia

Passenger transport of the country has a significant impact on the level of its economic development, providing the connection of the population with objects of industrial, social, cultural and household purposes.In Russia, intercity passenger transportation by public transport is mainly represented by bus, rail, aviation (aircraft) and water (domestic). The article analyzes the dynamics of passenger transportation and passenger turnover of public transport for the period from 2015 to 2020, presents a calculation of the number of flights performed by bus, rail, air (aircraft) and water (domestic) transport, identifies the reasons for the lack of development of passenger transportation and suggests solutions.It is established that inland water transport is currently undergoing decline and state intervention is necessary for their development. Also, during the period under review, there is a decrease in the popularity of buses and a preference for private transport to public, it is necessary to improve the quality of transportation. The indicators of air and rail transport have positive dynamics, but they also require growth. The development of air transport in Russia can be carried out by the introduction of new services, for example, air taxi, rail-transport in the field of urban and suburban communications, the construction of new high - speed highways. In 2020, due to the announcement of restrictions on movement and quarantine measures, there is a sharp decline in indicators for all types of transport.The materials can be used to analyze and improve the work of the country's passenger complex.

Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis

As China's transportation system expands it is producing a large amount of end-use emissions. To derive cost-effective measures for CO2 mitigation, the authors of this paper develop a marginal abatement cost (MAC) curve for China's transport sector. Using the TIMES model, MAC curves are derived which identify the linkages among all transport modes, considering, among other uncertainties, the impacts of a carbon peaking policy and driver preferences for plug-in hybrid electric vehicles (PHEVs). The results underline that the intercity passenger transport sector has a cost advantage, with a huge potential for emissions reduction (accounting for almost 38.8% of all CO2 emissions mitigation). The freight sector is another potentially significant contributor to CO2 reduction, underlining its vital role for emission mitigation in the longer run. The carbon peak policy, while making alternative fuel vehicles (AFV) more efficient, is found to increase the overall cost of emissions reduction. A higher ratio of electricity to fossil fuel use by PHEVs drivers would help the transport sector to reduce CO2 much faster. The sensitivity analysis of these and other factors is also estimated in this paper. The final MAC curves provide valuable insights for future low-carbon energy development strategies of China's transport sector.

A Novel Fuzzy SIMUS Multicriteria Decision-Making Method. An Application in Railway Passenger Transport Planning

To increase the level of adequacy in multi-criteria decision-making in the case of uncertainty, it is essential to reduce the subjectivism and to increase the reality of obtained results. The study aims to propose a novel fuzzy multi-criteria method based on the fuzzy linear programming method and sequential interactive model for urban systems method (SIMUS), named fuzzy SIMUS. This paper is something completely different because it links the power of fuzzy with the advantage of the SIMUS method. Indeed, not using weights, it works with optimal values. Here, this procedure is presented for the first time. The methodology consists of three stages. The first stage includes forming the parameters of a multi-criteria model in the case of uncertainty. The initial matrix has three values: lower, medium, and upper. In the second stage, the fuzzy SIMUS model for each objective is formed based on fuzzy linear programming method. The third stage deals with the ranking of the alternatives. The methodology was experimented for planning railway intercity passenger transport in Bulgarian’s railway network. Nine alternative transport plans and eight criteria were studied. It was found that the objectives which influence ranking the most are the frequency of train stops (15%), direct operational costs (15%), train’s capacity (14.7%), and reliability (14.3%). A transport plan for railway passenger transport is proposed. A verification of the results was performed. It was found that the stability of the choice presented a suitable alternative.

A Research On The Perception Of Service Quality Of Intercity Passenger Transport: The Example Of Black Sea Region

Highway passenger transportation sector stands out as a growing passenger transport sector in Turkey. Transport companies have to take into account the expectations of customers in order to survive and advance in this sector. For this reason, the measurement of the perceived and expected service quality of the customers is becoming important.
 In this study, a survey will be carried out on the service quality of highway intercity passenger transportation within the city of Tokat. It is explained why customer satisfaction and perception are very important for service providers, in highway passenger transportation which is one of the important sectors in our country. In this context, it has been understood that it is necessary to measure perceived and expected service quality of the customers. With this data, it will be possible to make improvements and improvements to the preferences of the customers.
 In this study it is examined the quality of the services primarily offered by the highway passenger transport sector, which is among the important sectors of our country in terms of both the economic magnitude and the employment it provides. For this aim the highway transportation literature is surveyed and according to literature using SERVQUAL scale one questionnaire is implemented to 400 people in Tokat.
 Then the collected data is analyzed with SPSS 24.0. According to test results age, monthly income and the travel purpose effects the highway transportation service quality perception of the passengers. In addition to this Service Quality Scale (SERVQUAL) is tested and found reliable and valid for highway passenger transport sector in Turkey.

Mechanism for Intercity Mobility of Passenger Service Consumers

The paper shows the possibility of applying the idea of MAAS (mobility as a service) as a means of preventing the permanent tendency of reduction of volumes of transportations of passengers in intercity communication. In this regard, it is proposed to introduce innovative approaches in this area, in particular, in order to improve the quality of transport services to the population and accessibility of territories. For this purpose, within the framework of the intercity mobility mechanism, subsystems are being developed that allow determining the possibility of carrying out intercity passenger transport on request with the required level of comfort. In addition, the work evaluates the integral indicator of ride comfort and considers the influence of various factors on it, such as the occupancy of the rolling stock, the waiting time for the bus from the moment of request, as well as the type of rolling stock. The basis for creating models is GIS programming and fuzzy logic device. Satellite monitoring data is used as the source data. When combined, these subsystems will allow formulating practical recommendations to ensure the desired level of comfort when traveling, determine the dynamic cost of travel and increase the availability of certain regions of the Russian Federation.

Математическая модель расщепления спроса на рынке междугородных пассажирских перевозок

The article deals with international passenger transportation. The modern directions of research in the field of passenger transport are analyzed. The interaction of a large number of participants in the transport services market with each other under certain socio-economic conditions increases the complexity of competitive processes taking place in the market. A brief analysis of the intercity passenger transportation market is carried out. The current situation of transport companies and consumers is characterized as a buyer’s market. The transport characteristics of the southwestern part of the Siberian region are presented. The availability of alternative means of transportation leads to the need to develop mathematical models of splitting of passenger flows by means of transport. Information has been collected about the trips of passengers by rail, bus and road transport in direct and reverse directions on the Novosibirsk - Kemerovo and Novosibirsk - Tomsk routes. An algorithm has been developed for dividing the population into groups according to equivalent preferences of modes of transport, which allows us to estimate the amount of demand in the passenger transportation market. Based on the proposed algorithm, the task of optimizing the traffic intensity is set. It is shown how traffic intensity affects passenger traffic on railway transport. The total shares of the population according to the general preference of modes of transport in the considered directions are determined and analyzed.

РАСЧЕТ ЭКОНОМИЧЕСКОЙ ЦЕЛЕСООБРАЗНОСТИ И ОПТИМИЗАЦИИ КОЛИЧЕСТВА РЕЙСОВ АВТОБУСОВ С УЧЕТОМ ЦИФРОВОЙ ТРАНСФОРМАЦИИ СИСТЕМЫ УПРАВЛЕНИЯ ПАССАЖИРСКИМИ ПЕРЕВОЗКАМИ

Road transport is the most important component of the unified transport system and industrial infrastructure of the country. Its stable and effective functioning is a prerequisite for the structural transformation of the economy into a digital one, which is marked as “Digital Kyrgyzstan”. In this regard, it became necessary to calculate the economic feasibility and optimization of the number of bus trips based on digital technologies aimed at creating a rational organized system of public transport, which in turn will be practical and convenient to use, as well as fast, safe and affordable. In the article, based on the proposed: an architectural scheme of digital transformation of the intercity passenger transportation management system and a mathematical model of 1 pilot month of work, the following are determined: revenue, costs and profit before and after the implementation of the system for each day of the pilot month. All the results obtained give reason to believe that the implementation of this system is effective, thereby substantiating the rationality of this approach in obtaining “digital profit”. The use of digital technologies in this area contributes to the growth of national prosperity and transparency in the management of the transport system and industrial infrastructure of both public and private transport in the republic

Database for Describing the Intercity Passenger Transportation Market

Database for Describing the Intercity Passenger Transportation Market

Operational scheduling of intercity passenger transportation company participating in energy and reserve markets

The electric vehicle (EV) is becoming the main mode of intercity passenger transportation. The intercity passenger transportation company (IPTC) is envisioned to participate in the electricity market to maximize the operation profit. Hence, it is necessary to study some strategic operating behaviors of the IPTC, including EV scheduling and bidding, to ensure the efficient operation of intercity passenger transport. This paper develops a decision-making tool based on a bi-level programming model for a merchant price-maker IPTC to determine the most beneficial scheduling and trading actions in the day-ahead market. The upper level of the model considers the mobility characteristics of EVs by a modified time–space network (TSN) to help the IPTC formulate intercity passenger shifts and bidding strategies. In this level, the IPTC maximizes its profit in the day-ahead market through bidding strategies, transportation scheduling, and charging/discharging arrangement at each station. In the lower level of the model, the joint energy and reserve market is cleared with maximum social welfare. The bi-level model can be transformed into an easily solved mixed-integer linear programming problem by applying the strong duality theorem and a binary expansion method to handle the nonlinear constraints of the reformulated single-level problem based on Karush-Kuhn-Tucker theorems. Finally, case studies are carried out on a modified IEEE 39-bus system and a practical 714-bus power system in China. The numerical results indicate that the IPTC tends to schedule more EVs to park in cities directly connected to congested transit lines and increase the number of discharging vehicles, resulting in the growth of the scheduled energy of discharging in these cities and thus higher profits. The different operation strategies of the IPTC are also discussed in the day-ahead market.