Статті в журналах з теми "Passenger information"

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1

WONG, JEHN-YIH, and PI-HENG CHUNG. "Retaining Passenger Loyalty through Data Mining: A Case Study of Taiwanese Airlines." Transportation Journal 47, no. 1 (January 1, 2008): 17–29. http://dx.doi.org/10.5325/transportationj.47.1.0017.

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Abstract Passenger loads on Taiwanese domestic flights have rapidly declined following the launch of the Taiwan High Speed Rail in 2007. Retaining passenger loyalty is thus a crucial challenge facing Taiwan domestic airlines. This study develops a loyal passenger mining process that is used to assess passenger loyalty and extract their information by a data mining technique from a database. Analytical results demonstrate that loyal passengers had high satisfaction in terms of service preferences, including airport service, passenger cabin facilities, information provision and complaint resolution, and flights departing on schedule. Loyal passengers also emphasized luggage services and obtaining airline information without an agency. The suggestions of this study not only provide Taiwanese airlines with a valuable reference for planning database marketing and managing loyal passengers but also expand the applicability of management information systems (MIS) to airline industry research.
2

Ibrahim, Ahmad Nazrul Hakimi, Muhamad Nazri Borhan, Nur Izzi Md. Yusoff, Amiruddin Ismail, Muhamad Razuhanafi Mat Yazid, Nor Aznirahani Mhd Yunin, and Sotaro Yukawa. "Gender and Age Do Matter: Exploring the Effect of Passengers’ Gender and Age on the Perception of Light Rail Transit Service Quality in Kuala Lumpur, Malaysia." Sustainability 13, no. 2 (January 19, 2021): 990. http://dx.doi.org/10.3390/su13020990.

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Light rail transit (LRT) is a sustainable transportation mode that ensures sustainable environmental, economic, and social development. Generally, the rate of public transportation usage in many parts of the world remains low compared to private vehicles. There is a need to understand passengers’ perception of public transportation service quality to enhance passenger satisfaction and increase ridership. Thus, this study used the Kuala Lumpur LRT service as a case study to investigate the effect of a passenger’s gender and age on their perception of the LRT service quality and their overall satisfaction. This survey involved 417 respondents. The outcome of factor analysis indicated that eight factors—i.e., signage, comfort, speediness, safety, ticketing service, facilities, staff service, and provision of information—influenced passenger satisfaction. The results of the Mann–Whitney U test and Kruskal–Wallis test indicated that the factors influencing passenger satisfaction significantly varied across a passenger’s gender and age. A more in-depth and comprehensive analysis using the ordered logit model and segmentation approach proved that provision of information, comfort, staff service, and facilities were critical determiners of passenger satisfaction in most segments. Safety factors and ticketing services had no impact on overall passenger satisfaction. The findings of this research could help LRT service providers, researchers, and policymakers formulate effective strategies for enhancing passenger satisfaction and increase the ridership for LRT services.
3

Mašek, Jaroslav, Adriana Pálková, Peter Blaho, Štefánia Halajová, Simona Jursová, and Denis Šipuš. "Proposal for Using IT Solutions in Public Passenger Transport in Slovak Republic to Reduce the Spread of COVID-19." LOGI – Scientific Journal on Transport and Logistics 14, no. 1 (January 1, 2023): 181–91. http://dx.doi.org/10.2478/logi-2023-0017.

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Abstract The unexpected emergence of the viral disease COVID-19 has caused many changes in all areas of life. People suffered from the fear of contracting the disease, which resulted in the decrease in the use of public passenger transport services. People’s uncertainty and frequently changing measures with a lack of information caused a shift of passengers from public passenger transport to individual transport. The analysis identified important criteria that passengers considered very important during the COVID-19 pandemic in relation to public transport. If these criteria are not met, passengers will not be willing to use public passenger transport and the use of individual transport will continue to grow. To ensure passenger satisfaction, new innovative software solutions have been analysed and then implemented into one specific solution. The proposed solution can meet the requirements of passengers, facilitate their travel using public passenger transport and provide them with regular information related to viral illnesses and important information and will ensure their satisfaction.
4

Bure, V. M., V. V. Mazalov, A. V. Melnik, and N. V. Plaksina. "Passenger Traffic Evaluation and Price Formation on the Transportation Services Market." Advances in Operations Research 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/163495.

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This paper investigates equilibrium formation in the passenger traffic model. First, we propose an estimation technique for the distribution of incoming passengers at each stop with respect to subsequent stops of a route based on available information on incoming and outgoing passengers. Second, we employ the obtained information on passenger traffic to introduce a game-theoretic model of passenger traffic distribution with respect to transport facilities.
5

Szymczak, Piotr, and Paweł Kozubek. "Dynamic Passenger Information System in Radom Public Transport." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 9 (September 30, 2018): 28–32. http://dx.doi.org/10.24136/atest.2018.276.

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Passengers, who travel by public transport, including urban transport, are in need of fast and reliable passenger information. Replacement of simple and scant passenger information based on rigid assumptions, transmitted mainly using tables and printed time-sheets, with modern, dynamic and adaptive, but also complicated systems, which use audio-visual devices has become a common trend. The article presents the characteristics of the Dynamic Passenger Information System in Radom public transport, commissioned for use in 2014. The main needs of introducing the DPIS are discussed followed by the analysis of the complexity and functionality of the system and the assessment of its validity.
6

Hu, Xinghua, Hongbin Qin, Jianpu Guo, Yimei Xu, Wei Liu, and Xiaochuan Zhou. "Study on the Route-Selection Behavior of Bus Passengers Based on an Evolutionary Game under the Condition of Information Guidance." Applied Sciences 12, no. 13 (July 1, 2022): 6703. http://dx.doi.org/10.3390/app12136703.

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Bus guidance information supplied by advanced traveler information systems provide a reference for route selection by bus passengers. This study analyzes the interaction between bus passengers’ route-choice behavior and the relationship in a game. The game revenue of the passengers waiting on the bus platform is quantified by parameters such as the number of passengers waiting on the platform, the number of passengers on the bus, and the passenger capacity of the bus. Based on the characteristics of passenger-bounded rationality, an evolutionary game model of bus choice behavior under information-induced conditions is established. Through the evolutionary game model, the distribution of the proportion of passengers receiving the guidance strategy is obtained when the evolution is stable. Finally, according to the distribution results, the passenger guidance strategy is discussed to achieve a win-win situation between passengers and bus operators.
7

Bryden, Kelly Jane, Judith Charlton, Jennifer Oxley, and Georgia Lowndes. "Older driver and passenger collaboration for wayfinding in unfamiliar areas." International Journal of Behavioral Development 38, no. 4 (April 17, 2014): 378–85. http://dx.doi.org/10.1177/0165025414531466.

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Passenger collaboration offers a potential compensatory strategy to assist older drivers who have difficulty driving in unfamiliar areas (wayfinding). This article describes a survey of 194 healthy, community-dwelling older drivers and their regular passengers to investigate how passengers assist drivers, and to identify the characteristics of drivers and passengers who regularly collaborate to assist with wayfinding. Three aspects of passenger assistance were investigated: Pre-trip planning, directional guidance and searching for visual cues. Results revealed a high incidence of collaboration amongst drivers and passengers who regularly drive together. Collaboration was dependent on the perceived wayfinding abilities of the driver by both passenger and driver, suggesting that passengers are more likely to help if they think they will be of assistance. This information provides baseline information on which future research can examine the safety benefits of passenger assistance in wayfinding.
8

Zhou, Huijuan, Yu Liu, Bei Li, and Zhe Zhang. "Information Service Frequency of Urban Rail Transit Based on Passenger Flow Dissipation Rate." Mobile Information Systems 2022 (August 24, 2022): 1–8. http://dx.doi.org/10.1155/2022/4709343.

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The improvement of the quality of information services can speed up the dispersal of aggregated passenger flow. To alleviate the safety hazards of the outburst mass passenger flow gathering at a certain station, we took the information service frequency as the research object and the passenger flow dissipation rate as an index to study the best information service frequency interval that passengers can accept. Firstly, we analyzed the influencing factors of passenger flow dissipation rate from the perspective of subjective and objective and proposed a model of passenger flow dissipation rate. Then, a corresponding influence factor model was established to determine the influence factor and the corresponding frequency interval. Finally, the model solving impact factors and the passenger flow data of the Wukesong subway station were used to solve the model of passenger flow dissipation rate, combining the frequency interval under a single factor to determine the best information service frequency interval under the influence of multiple factors.
9

Zhao, Lin, Jian Ping Xing, Cong Yi Sun, Can Sun, and Chun Liu Xie. "Design of Urban-Taxi Accurate Call Service Platform Based on Information Self-Matching." Applied Mechanics and Materials 321-324 (June 2013): 2833–36. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2833.

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In order to solve the difficulty of calling a taxi for urban residents, and reduce taxi no-load rate for taxi drivers, an Urban-Taxi accurate call service platform based on information self-matching was designed and realized by using wireless communication and combination positioning technologies. This platform can achieve real-time monitoring and management of the entire service area. By using a terminal, a passenger can book the nearest no-load taxi and wait for loading. Meanwhile, a taxi driver can use his or her terminal to get passenger’s information who wants to take a taxi. This approach simplifies calling process of passengers, matches passengers and no-load taxis intelligently, optimizes passengers travel experience, and reduces taxis no-load rate.
10

Wang, Wensi, Zhihui Tian, Yonglei Jiang, Lan Wu, and Jianqiao Gao. "Dynamic control strategy based on passenger choice behavior with real-time information." SIMULATION 95, no. 9 (December 11, 2017): 809–22. http://dx.doi.org/10.1177/0037549717742508.

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Real-time control strategies are important methods for high-frequency transit to counteract the effects of bus bunching in passenger waiting time. This paper extends previous literature with the development of an optimization model for multiple lines in a corridor capable of executing a dynamic control strategy based on passenger choice behavior with real-time information. The bi-level model integrates “passenger perceptions,”“service selection,” and “control strategy” effectively. The upper level model is a control model with the objective of minimizing the total waiting time of passengers in the system composed of common lines to decide whether a bus arriving at the hub should be held and its holding time. The lower level model is an allocation model with the utilization of a Nested Logit model to study passenger choice behavior. In addition, a heuristic algorithm is introduced to solve the problem. The effectiveness of the model is evaluated with the data of two lines in Dalian city of China. The results show that the control strategy proposed in this paper outperforms the simple control strategy without passenger choice behavior, where the waiting time of passengers, the number of buses that need to hold, and bus holding time are all reduced.
11

Rajbhandari, Rajat, Steven I. Chien, and Janice R. Daniel. "Estimation of Bus Dwell Times with Automatic Passenger Counter Information." Transportation Research Record: Journal of the Transportation Research Board 1841, no. 1 (January 2003): 120–27. http://dx.doi.org/10.3141/1841-13.

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The average passenger boarding and alighting times and bus dwell times at stops are important information for estimating transit service capacities. Bus dwell time directly affects vehicle travel time, and thus the fleet size required to provide service based on scheduled headway is affected. Research focused on estimating bus dwell time and the impact of boarding and alighting passengers on dwell time. In addition, the effect of standees, time of day, and service type on bus dwell time was investigated. The data were recently collected from an archived database, within which automatic passenger counter information was recorded. The dwell times and passenger counts were recorded daily during 2001 and the first 6 months of 2002. The bus dwell time and average passenger boarding and alighting time at stops are explained using descriptive statistics.
12

Kapskiy, D. V., S. S. Semchenkov, and O. N. Larin. "Improving the Efficiency of Information Application in the Organization of Passenger Transportation in Cities." Science & Technique 21, no. 4 (August 3, 2022): 323–30. http://dx.doi.org/10.21122/2227-1031-2022-21-4-323-330.

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The problem of organizing passenger transportation in cities is becoming more and more important every day. The situation is aggravated by the fact that the spontaneous growth of motorization leads to a drop in the capacity of streets, environmental pollution, destruction of ecosystems, and an increase in social tension. It became obvious that the creation of cities convenient for life is impossible without a system of route passenger transport. And here, improvement of the quality of passenger transportation in cities by increasing the efficiency of using the information necessary to manage the transportation process is of particular relevance. There is a need to create a unified information space in the field of transportation, involving all participants in the process. This, in turn, will help to provide reliable information to users (passengers) of route passenger transport, increase its reliability and passengers' trust in it. An important role here is played by the information sup-port of the transportation management process with the choice of the correct model for collecting reliable information about the movement of route vehicles and its correct use, which will lead to an increase in the reliability of the route passenger transport, and the provision of open reliable information about the movement of route vehicles will contribute to increasing user confidence in route passenger transport and at the same time discipline carriers and operators.
13

Zambrano, Luis A., Luis llerena Oca� Ocaña, Tannia Cristina P. Morales, Vladimir Vega Falc� Falcón, and Mirzaliev Sanjar. "An Information Fusion Technique for Prognosticating Future Air Passenger Trends." Fusion: Practice and Applications 14, no. 1 (2024): 283–92. http://dx.doi.org/10.54216/fpa.140121.

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The aviation industry is constantly changing and to keep up with the trends of air passengers we need predictive models. In this paper, we explore the use of Information Fusion methodologies and classical time series techniques to forecast how many passengers will be traveling by air. Predicting passenger demands is a task, due to various factors that influence travel patterns. The existing models often struggle to capture the dynamics in this field so it's crucial to develop accurate forecasting methods. By leveraging information fusion techniques like smoothing and Autoregressive Integrated Moving Average (ARIMA) our research creates models based on historical data of air passenger volumes. These techniques combine machine learning algorithms and time series analysis to identify dependencies and patterns in the dataset. Through evaluations and comparative analyses, our proposed models demonstrate promising capabilities in forecasting future air passenger volumes. Proof-of-concept experiments based on 5-fold cross-validation demonstrate the efficacy of the proposed approach in capturing underlying trends and seasonality within the dataset.
14

Mishalani, Rabi G., Sungjoon Lee, and Mark R. McCord. "Evaluating Real-Time Bus Arrival Information Systems." Transportation Research Record: Journal of the Transportation Research Board 1731, no. 1 (January 2000): 81–87. http://dx.doi.org/10.3141/1731-10.

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Real-time transit passenger information systems are intended to improve the level of service provided by transit agencies. For example, passengers are given real-time information on the expected arrival times of buses on various routes at bus stops. These real-time systems reflect emerging applications in public transit, and methods to evaluate their benefits are limited. An evaluation method is presented that focuses on the potential benefits of bus arrival information systems to passengers waiting at bus stops. Passenger arrivals and transit bus operations are modeled as a stochastic system in which the operator uses real-time bus location data to provide bus arrival-time information that maximizes passengers' utilities. Simulation results reveal the nature of the dependence of system benefits on the type of real-time data available to the operator and the bus operations characteristics. An application to an existing bus transit system demonstrates the feasibility of the developed method and its role in assessing the value of real-time bus arrival information systems to passengers.
15

Bamhane, Siddhesh, Pratham Kalan, Karan Patil, Kaustubh Patil, and Prof Rupali Sathe. "Bus Pass with Barcode Card Scan Code." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (April 30, 2024): 4422–26. http://dx.doi.org/10.22214/ijraset.2024.60950.

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Abstract: The "Bus Pass with Barcode Scan Project" aims to enhance the efficiency and security of bus transportation services by implementing a barcode-based pass system. This theoretical project focuses on the conceptual framework and key components required for the successful implementation of such a system. Implementing a secure and convenient bus pass system using barcode technology. Improves the accuracy and speed of passenger boarding by automating the pass verification process. Enhancing data management and analytics for better service planning and passenger experience. Developing a system for generating unique barcodesfor each bus pass holder. Ensures that the generated barcodes are tamper-proof and secure against duplication. Installing barcode scanners on buses to read the passenger's bus pass barcode. Ensures compatibility with various barcode types (e.g., QR codes, traditional barcodes). Creates a centralized database that store passenger information, including name, pass details, and barcode data. Implementing data encryption and security protocols to protect passenger information. Developing a mobile application for passengers to purchase, renew, or display their bus pass on their smartphones. Enabling easy scanning of the mobile app's barcode at the bus entry point.
16

Hu, Xiaowei, Shi An, and Jian Wang. "Taxi Driver’s Operation Behavior and Passengers’ Demand Analysis Based on GPS Data." Journal of Advanced Transportation 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6197549.

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The existing research outputs paid less attention to the relationship between land use and passenger demand, while the taxi drivers’ searching behavior for different lengths of observation period has not been explored. This paper is based on taxi GPS trajectories data from Shenzhen to explore taxi driver’s operation behavior and passengers’ demand. The taxi GPS trajectories data covers 204 hours in Shenzhen, China, which includes the taxi license number, time, longitude, latitude, speed, and whether passengers are in the taxi vehicle, to track the passenger’s pick-up and drop-off information. This paper focuses on these important topics: exploring the taxi driver operation behavior by the measurements of activity space and the connection between different activity spaces for different time duration; mainly focusing on eight traffic analysis zones (TAZs) of Shenzhen and exploring the customer’s real-time origin and destination demands on a spatial-temporal distribution on weekdays and weekends; taxi station optimization based on the passenger demand and expected customer waiting time distribution. This research can be helpful for taxi drivers to search for a new passenger and passengers to more easily find a taxi’s location.
17

Postolit, A. V. "Automation of Collection of Primary Data for Development of a Passenger Origin-Destination Trip Correspondence Matrix Based on Computer Vision and Neural Network Technologies." World of Transport and Transportation 19, no. 2 (November 13, 2021): 32–40. http://dx.doi.org/10.30932/1992-3252-2021-19-2-5.

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The origin-destination trip matrix is a fundamental characteristic of a transport network, and development of a reliable correspondence matrix is the most important task in organising passenger traffic. It is the basis on which the public transport route network of a city (region) is built and optimised.Currently, collection of initial information for construction of a travel correspondence matrix is carried out through field surveys comprising questionnaire surveys of the population; accounting for movement of passengers according to the coupons issued to them; checkers, tellers manually counting passengers in vehicle compartments; simple surveys of passengers. Besides, mathematical modelling is used based on statistical data on the number of residents in various districts of the city, employees in enterprises and students in educational institutions, as well as on available data on the characteristics of passenger traffic along certain routes. All these surveys are very expensive and are carried out once over few years; they give a large error, which is why decisions made on the basis of these data are far from being optimal.There are a lot of solutions in the software and hardware market that provide automated collection of data on passenger flows. They are based on the use of infrared sensors or of video recording. However, none of these systems provide information about the points of entry and exit of each passenger. The objective of this study was to develop methods for automating the collection of reliable information about passenger trips, that will be the base for building up-to-date and reliable passenger trip correspondence matrices. This task can be solved by constant monitoring of passengers’ trips with fixing places of entry and exit of each passenger.The study describes the possibility of creating software based on computer vision and artificial intelligence which will provide automation of collection of primary information about travel of each passenger from the place of boarding into the vehicle to exit from it, that is, automation of data generation to build a passenger trip correspondence matrix.
18

Usman, Agus, Yudi Azis, Budi Harsanto, and Anton Mulyono Azis. "The Impact of Service Orientation and Airport Service Quality on Passenger Satisfaction and Image: Evidence from Indonesia." Logistics 7, no. 4 (December 15, 2023): 102. http://dx.doi.org/10.3390/logistics7040102.

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Background: Airport service quality and service orientation are important aspects of managing passenger satisfaction and airport image. The aim of this paper is to analyze the influence of service orientation and airport service quality on airport image through passenger satisfaction as an intervention variable. Methods: The survey was conducted on 356 passengers at the departure area and lounge. Samples were taken at five major airports in Indonesia, including Soekarno Hatta International Airport. To test the influence of exogenous variables on endogenous variables through intervening variables, a quantitative testing analysis test was carried out using the structural equation model partial least square (SEM-PLS). Result: The research results show that service orientation has a significant and positive effect on airport service quality, passenger satisfaction, and airport image. Moreover, service quality also has a positive effect on passenger satisfaction and the airport’s image. Empirically, passenger satisfaction has been proven to mediate the influence of service quality and service orientation on airport image. It has been proven that airport operators who focus on passengers through service orientation can increase passenger satisfaction and the airport’s image. Conclusions: Focusing on passengers’ needs while at the airport is an important aspect for airport operators who aim to manage their emotions, which encourages passengers to use paid services while in the waiting room. The use of this paid service will directly increase the airport’s aeronautical revenue. Future research needs to consider the influence of image on purchase intention and return to the airport.
19

Filippov, S. O. "SOME ASPECTS OF USING PASSENGER DATA (API/PNR) IN SUPPORT OF BORDER SECURITY." Constitutional State, no. 43 (October 26, 2021): 169–76. http://dx.doi.org/10.18524/2411-2054.2021.43.240997.

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The article reveals with the logic, mechanism and main parameters for using passenger data (API/PNR). The interrelation of the concepts of “Advance Passenger Information” and “Passenger Name Record” has been revealed. It has been determined that the systems of simplification of formalities also have a positive effect on security. For example, the purpose of data collection in the EU is to effectively combat illegal migration and strengthen border control, as well as to prevent, detect, investigate and prosecute terrorist and serious crimes. This applies to both the Passenger Information System (API) and additional passenger data, such as Passenger Name Record (PNR) data. There is no doubt that the successful application of API and PNR data exchange depends on a unified approach of all participants in information relations (both border agencies and airlines in different countries) regarding the question of data standard and standard of their transmission. Ensuring such a unified approach is a problem even when there is unity of legal regulation on data format and data exchange procedures. There are no special regulations in the national legislation that would regulate the relationship regarding the circulation of passenger registration data, nor is there a specific entity that processes this type of information. Thus, there is a need for special legal regulation of the circulation of information about airline passengers crossing the state border of Ukraine. In particular, the legislation must regulate the procedure, grounds, purpose of obtaining, processing, transmission, storage and destruction of information about passengers (its content), protection of the right to confidential information of persons operating international flights, establish a responsible controller of such information.
20

Parshina, V. S. "Improving business processes of the railway station complex based on digital technologies." Herald of the Ural State University of Railway Transport, no. 4 (2022): 60–67. http://dx.doi.org/10.20291/2079-0392-2022-4-60-67.

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The strategy of JSC Russian Railways until 2030 sets the task of realizing the commercial potential of railway terminals and stations, through which on average more than 2.6 million passengers pass daily. The projected growth of passenger traffic determines the development of infrastructure of stations, the defining part of which is high-quality information support. Modernization of railway stations implies, among other things, creation of the timely, accessible and complete information space for customers, it also requires the regulation of increasing passenger flows based on high-quality information. This article discusses the improvement of information processes using digital technologies. The proposed modernization is not refinement of automation elements of existing business processes of the passenger station on another technical platform, but the development and implementation of new technologies for passenger and customer information services based on a modern intelligent management system for information and reference processes. Business processes based on digital technologies are built taking into account the specifics of the information space of a particular station. Improving the information support of business processes will improve the quality of services provided to passengers and customers, the technological reliability of processes, as well as the economic efficiency of the station.
21

Filonenko, M. I. "RESEARCH OF THE ORGANIZATION OF PRE-FLIGHT INSPECTION AND HARDWARE COMPLEXES FOR ENSURING SECURITY AT THE AIRPORT." System analysis and logistics 4, no. 26 (December 17, 2020): 108–14. http://dx.doi.org/10.31799/2007-5687-2020-4-108-114.

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The article presents the research of the organization of pre-flight inspection at the airport, presents hardware systems and analytical information on processing passenger traffic. On the basis of hardware inspection complexes, a comparison of their performance is presented and issues of the quality of their work are considered. A block diagram of the movement of passengers in the terminal using both domestic and international air lines is presented, analytics on passenger traffic by months are provided, experimental information on measuring the number of hand luggage and baggage items that have passed through one security screening unit at the airport is presented. Particular attention is paid to the study of hardware systems for screening passengers, since security at the airport will directly depend on their performance. Key words: airport, inspection equipment, passenger traffic, passenger safety.
22

Shao, Xie, Sun, and Jiang. "Optimal Layout of Static Guidance Information in Comprehensive Transportation Hubs Based on Passenger Pathfinding Behavior." Sustainability 11, no. 13 (July 4, 2019): 3684. http://dx.doi.org/10.3390/su11133684.

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Passenger orientation (pathfinding) is an important factor in designing the layout of comprehensive transportation hubs, especially for static guidance sign systems. In essence, static guidance signs within the hub should be designed according to passengers’ pathfinding demand, that is, to provide passengers with accurate information at the appropriate location. Therefore, from the perspective of passenger information demand, this study aims to determine the appropriate location and density of static guidance information. Two types of passenger information demand in the pathfinding process are defined in this study: one is generated at the path decision point, where multiple path options exist; the other is at the points between decision points, where pathfinders need to confirm that they are still on the correct path. According to the interaction of pathfinding behavior and guidance information, the abstract relationship model is established between macro-behavioral characteristics and the micro-psychological state. Moreover, based on walking speed analysis, the judgment criterion of passenger psychology in pathfinding is proposed to determine the spatial location and density of guidance information. The analysis results of Shanghai Hongqiao International Airport show that, under the threshold of the speed drop section given in the study, 80% of passenger information demand is satisfied when guidance information spacing is 47 m, and 60% of information demand is satisfied when the spacing is 56 m. The findings presented in this paper can provide a reference for the optimal design of static guidance information in comprehensive transportation hubs.
23

Moskvichev, O. V., S. A. Leonova, and D. V. Vasiliev. "Using an Artificial Neural Network to Record and Analyse the Performance Indicators of a Transport Enterprise." World of Transport and Transportation 21, no. 2 (November 6, 2023): 39–46. http://dx.doi.org/10.30932/1992-3252-2023-21-2-4.

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Recently, the issue of determining actual values of passenger flow processed by urban public and suburban transport on each section of the route in real time has become even more relevant since those values affect planning, organisation of operations and performance of transport enterprises.It is not possible to assess the real volume of passenger flow with the number of tickets issued to passengers due to the large number of unaccounted passengers (the discrepancy between the number of tickets issued to passengers and the real number of passengers transported).The objective of the study which results are described in the article was to develop an intelligent system for calculating and analysing the transport enterprise performance, which allows automatically collecting, processing and analysing information about passenger flows, calculating the passenger rotation ratio on the route, drawing up optimal bus schedules and timetables, adjusting vehicle traffic intervals, determining the need for rolling stock to minimise the likelihood that a passenger is denied boarding, improving the quality of passenger service and reducing the operating costs of a transport enterprise.Real-time calculation of passenger flow values for each vehicle on the route of urban public transport is carried out by a quantitative method based on artificial neural network technology, which allows automatic processing of a large amount of information from CCTV cameras installed in vehicle interiors.The use of theoretical research methods helped to create an intelligent system capable to analyse and compare the number of tickets issued to passengers with the actual number of passengers transported on Samara city public transport route, the results were displayed through a graphical user interface. It was possible to reveal dependences of the number of unaccounted passengers on the route on the amount of passenger flow and the time of day.A possibility of using the proposed intelligent system in commuter trains was noted, provided that the cars are equipped with video surveillance cameras.
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Rudenko, Maryna. "DIGITAL TRANSFORMATION OF PASSENGER RAIL TRANSPORT: EVALUATION OF THE EFFECTIVENESS OF INSTALLING DIGITAL SCREENS AND IMPLEMENTING INTERACTIVE INFORMATION SYSTEMS ON TRAINS." ECONOMIC BULLETIN OF THE DNIPROVSK STATE TECHNICAL UNIVERSITY, no. 1(8) (June 20, 2024): 110–22. http://dx.doi.org/10.31319/2709-2879.2024iss1(8).306486pp110-122.

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The article discusses the quite relevant topic of installing digital screens and interactive information systems on trains, which not only meets the needs of the modern transportation market and passengers but also has a significant positive impact on the economy and social sphere by improving comfort, safety, and accessibility of transportation services for all users. Based on a conducted passenger survey of railway transportation, it was found that the majority of respondents support the idea of installing digital screens and implementing interactive information systems, as the absence of electronic displays on trains significantly complicates trip organization. Considering the identified problems and passengers’ needs, the article’s author proposes the implementation of digital transformation projects in the field of passenger rail transport organization. The economic effect of developing and implementing the passenger transportation digitalization project, namely installing advertising monitors (LED advertising displays) and implementing interactive information systems in passenger cars, has been determined. The obtained results enable determining the feasibility of investment in digital transformation, allowing passenger rail transportation to remain competitive in the face of rapid technological progress, enabling JSC «Ukrzaliznytsia» to optimize processes, improve service quality, reduce operational costs, and increase the efficiency of passenger transportation management. Additionally, the implementation of digital screens and interactive information systems not only enhances the passenger experience but also opens up new revenue streams through targeted advertising opportunities on the screens. By strategically placing advertisements and providing relevant information through these digital platforms, railway companies can generate additional income while keeping passengers informed and engaged during their journey. Moreover, the implementation of digitalization projects in the passenger rail sector presents opportunities for data collection and analysis. By gathering information on passenger preferences, travel patterns, and behavior through interactive systems, railway companies can gain valuable insights to optimize service offerings, scheduling, and resource allocation. This data-driven approach allows for more targeted decision-making and continuous improvement in meeting passenger needs and expectations. Additionally, the deployment of digital screens and interactive systems fosters a more sustainable and environmentally friendly mode of transportation. By reducing the reliance on paper-based information materials and streamlining operations through digital technologies, railway companies can minimize waste generation and carbon emissions, contributing to overall environmental conservation efforts. Furthermore, the introduction of innovative features such as real-time connectivity, entertainment options, and personalized services through digital platforms enhances the overall passenger experience, making train travel more attractive compared to other modes of transportation. This can potentially attract new customers and increase ridership, leading to economic benefits for both the railway industry and the wider economy.
25

Guskov, A. A., N. Y. Zalukaeva, and M. A. Sevostyanov. "Methodology for information and technologigy assessment of public passenger transport work." Russian Automobile and Highway Industry Journal 19, no. 5 (November 11, 2022): 654–65. http://dx.doi.org/10.26518/2071-7296-2022-19-5-654-665.

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Introduction. The problems of the organisation of urban passenger transportation are considered. The reasons for the inefficient operation of public transport in the cities of Russia and abroad, as well as the factors contributing to this, are investigated. The insufficient level of information technology systems and technologies use in the transportation process is indicated. The purpose of the work is to develop a refined methodology for evaluating the efficiency of public passenger transport based on the criteria of the information technology indicator, as well as to test the evaluation of the efficiency of motor transport enterprises engaged in passengers transportation in Tambov according to this indicator.Materials and methods. A refined methodology for evaluating the efficiency of public passenger transport has been developed based on the criteria of the information technology indicator. Each criterion was assigned a weighting indicator (coefficient), depending on the significance and impact on the efficiency and safety of public passenger transport.Results. The study of the efficiency of public passenger transport in Tambov according to the criteria of information technology assessment showed that, in general, the level of equipment is lower than the average estimated indicator - from 5.55 to 8.3 points. This indicates the insufficient equipment of carriers with information technologies and systems.Discussion and conclusion. The measures to improve the efficiency of public passenger transport are proposed.
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Corman, Francesco. "Interactions and Equilibrium Between Rescheduling Train Traffic and Routing Passengers in Microscopic Delay Management: A Game Theoretical Study." Transportation Science 54, no. 3 (May 2020): 785–822. http://dx.doi.org/10.1287/trsc.2020.0979.

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In the last decade, optimization models for railway traffic rescheduling mostly focused on incorporating an increasing detail of the infrastructure, with the goal of proving feasibility and quality from the point of view of the managers of the infrastructure (tracks and stations). Different approaches that manage only the passenger flows instead focus more explicitly on the quality of service perceived by the passengers. This paper investigates microscopic railway traffic optimization models and algorithms, merging these two streams of research. In particular, we analyze the characterization of an equilibrium point between the reordering choices of train dispatchers in railway traffic optimization and the route choice of passengers in the available services of the railway transport network. We describe how passenger choice at stations along the route intertwines deeply with the problem of rescheduling trains over tracks and station resources in a very complicated setting that might not exhibit equilibrium points in general. Delaying trains and/or dropping passenger connections and/or giving particular route advice to passengers might influence the behavior of traffic controllers and passengers, determining a trade-off between the delays of trains, weighted by the passenger load, and the travel time of passengers. We study this problem with a game theoretical approach, focusing on the solutions corresponding to Nash equilibria of a game involving passengers and infrastructure managers. The proposed game theoretical approach is able to easily consider information and interdependence of the actions of multiple stakeholders. Computational results based on a real-world Dutch railway network quantify the trade-off between the minimization of train delays and passenger travel times and the performance, stability, and convergence of the equilibrium point given different algorithms and information available. The final aim of this work is to study the impact of effective implementations of railway traffic management and dissemination of information to passengers and operators.
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Irwansyah Djaya, Dennis, Andi Alimuddin Unde, and Jeanny Maria Fatimah. "CONFIDENTIAL INTERACTION BETWEEN PASSENGERS AND CUSTOMS OFFICERS AT MAKASSAR SULTAN HASANUDDIN INTERNATIONAL AIRPORT." Jurnal Konseling Pendidikan Islam 4, no. 2 (July 18, 2023): 265–78. http://dx.doi.org/10.32806/jkpi.v4i2.6.

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In addition to their other duties as civil servants of the state, customs officers at Sultan Hasanuddin Makassar International Airport are tasked with safeguarding the local populace from the introduction of harmful foreign substances like drugs. According to the latest data from the National Narcotics Agency Survey, one in every 55 Indonesians (between the ages of 15 and 64) has a problem with substance use. One of the customs officers has made stopping the entry of illegal drugs into Indonesia his top priority after learning the truth about these substances. Passenger conduct can be detected through conversation with other passengers. The customs officer must learn about the passenger's background during the conversation to check for illegal items being smuggled. Uncertainty in interpersonal communication arises for customs personnel when they meet people entering Indonesia. The study's goal is to examine the methods used by customs agents to make passenger interactions more certain by reducing ambiguity. Descriptive qualitative research using the interactive model of Miles and Huberman was employed for this study's data collection and analysis. The research concluded that customs officers can lessen communication risks by gathering information about passengers through direct interpersonal communication with passengers and by asking a variety of questions that can describe the passenger profile, as well as through observation of passengers' verbal and nonverbal behavior.
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Kornyat, Iryna. "Digitization of Internal Control and Information Support for the Management of Transport Enterprises." Central Ukrainian Scientific Bulletin. Economic Sciences, no. 9(42) (2023): 163–72. http://dx.doi.org/10.32515/2663-1636.2023.9(42).163-172.

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The effective functioning of the smart city creates prerequisites not only for automating the collection of accounting information about economic processes in transport, but also for comprehensive control over transport, passenger and cash flows. The use of modern computer and communication technologies in the smart city ensures the digitization of internal control for the purposes of effective management of transport enterprises, which determines the relevance of the topic of the article and makes it possible to form a goal. The main aim of the article is to improve the methodology of internal control and information support for the management of passenger carriers in the context of the use of modern computer and communication technologies. The article proves the importance of establishing the relationship between accounting, internal control and management of the transport enterprises activities. The methodology of internal control and information support of the management regarding the movement of vehicles in the city space, the performance of official duties by employees, the behavior of passengers and the circulation of funds has been improved. The procedure for digitalization of management decisions in the transport sector of the smart city based on accounting information, the reliability and relevance of which is confirmed by the internal control of passenger carriers, has been specified. The expediency of using a video surveillance system for the movement of transport, the performance of official duties by employees and the behavior of passengers in order to control and record the damage caused to the rolling stock of passenger carriers, other road users, passengers and employees, and the transport infrastructure of the smart city has been substantiated. The use of the developed information scheme of the control environment ensures the minimization of time and money spent by passengers, transport companies, municipal and state budgets for the provision of services for moving residents of the smart city.
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Sarosa, Moechammad, Mentari Tika Putri Ningrum, and Putri Elfa Mas’udia. "Design and implementation of school bus information and tracking system application." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 2 (May 1, 2023): 1047. http://dx.doi.org/10.11591/ijeecs.v30.i2.pp1047-1058.

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The school bus is a means of transportation that is very attractive to students because it is free. This study aims to develope an application that can track school bus trips and provide information about bus passengers. Bus location information sent to the user application can help students estimate the arrival time of the school bus at the pick-up point. In addition, information on the identity of school bus passengers can be used by parents to monitor the whereabouts of their children going to or from school on the bus. This application uses the global positioning system (GPS) of the smartphone on the school bus to find out the location of the bus and send it along with passenger identification information to the user application. To read passenger identities, near field communication (NFC) cards are used as passenger identity cards by tapping them on a smartphone on a school bus. Tests have been carried out on all functions of the application features and testing the accuracy of location reading and tracking of school bus trips, obtained latitude and longitude tolerance values of about 3.2 meters.
30

In Yoo, Kyung, and Jan M. Davies. "A Request for Regulatory Revision." Aviation Psychology and Applied Human Factors 5, no. 1 (April 10, 2015): 45–51. http://dx.doi.org/10.1027/2192-0923/a000072.

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Although aviation grows safer, accidents still occur, with unanticipated/unplanned and anticipated/planned emergency landings. The latter give passengers time to adopt the brace position before landing. Bracing minimizes the physical effects of multiple, sequential impacts in a crash. Passengers who do not brace are more likely to be injured and less likely to escape unaided from the aircraft, with risk of further injury or death. Passenger safety cards include brace position information, but most preflight passenger briefings omit information and demonstration about bracing. These are airline specific and, with a few exceptions, not required by national aviation regulations, because of a lack of International Civil Aviation Organization (ICAO) requirements. If ICAO regulations required brace position briefings, these would help improve international airline passenger safety.
31

Li, Xu-Hui, Lin Huang, Qiang Li, and Hu-Chen Liu. "Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment." Sustainability 12, no. 12 (June 18, 2020): 4996. http://dx.doi.org/10.3390/su12124996.

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Passenger satisfaction is an important factor that affects the choice of travel modes for municipalities, especially in big cities. This evaluation is an important task for managers when they are considering improving the competitiveness of the public transportation system. However, passenger satisfaction evaluation is difficult as the information provided by passengers is often vague, imprecise, and uncertain. This paper aims to propose a new method, using Pythagorean fuzzy sets and multi-objective optimization by a ratio analysis plus full multiplicative form method (MULTIMOORA), to evaluate the passenger satisfaction level of the public transportation system under large group environment. The former is employed to represent the satisfaction assessments of rail transit network provided by passengers. The latter is extended and used to determine the passenger satisfaction levels of rail transit lines. In addition, a combination weighting method is suggested to compute the relative weights of evaluation criteria. A case study of the rail transit network in Shanghai is provided to demonstrate the effectiveness of the proposed passenger satisfaction evaluation method. The result shows that the new method proposed in this study can not only model passengers’ satisfaction evaluation information with more uncertainties, but also determine more reasonable and credible satisfaction levels of rail transit lines.
32

Xu, Liang Jie, Guan Yun Wang, Qi Yuan Liu, and Wei Zhao. "Evaluation of Subway Station Information Using KANO Model." Applied Mechanics and Materials 744-746 (March 2015): 2081–85. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.2081.

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In order to acknowledge passenger’s satisfaction degree of subway station information and improve subway station service level. This paper analyzes passenger’s information requirement in subway station, using KANO model to evaluate subway station information. And at last show an example of Wuhan Zhongnan Road subway station, analyze passenger satisfaction degree in subway station.
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Bakalinskii, Oleksandr, T. S. MELNYK, and Veronika Van Aker. "IS THE DEPENDENCE OF PASSENGER STRESS ON THE PERCEIVED QUALITY OF TRANSPORTATION IS MORE COMPLEX THAN WE INTENDED? EXPANDING THE METHODOLOGICAL BASIS OF RESEARCH AND DECISION MAKING." REVIEW OF TRANSPORT ECONOMICS AND MANAGEMENT, no. 10(26) (March 31, 2024): 163–77. http://dx.doi.org/10.15802/rtem2023/293225.

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Purpose. Development of a methodological basis for measuring the dependence of passenger’ stress on the perceived quality of public transport service. Its achievement will contribute to certainty in management situations, when the task of the transport operator's management is to reduce the stress level of passengers. Research methodology: Research methodology: First survey was conducted by the Joint Stock Company "Ukrainian Railway". We found the most important attributes of the quality of transport service for passengers by types of wagons, the advantages and disadvantages of trip, the desired vectors of the customer value of the transport service. The second survey was conducted in the Luxembourg on the travel behavior of residents and commuters from neighboring countries. The results showed that the quality of the transport service perceived by the passenger is the main factor of stress. The dependence of passengers' stress level on attributes and aggregated perceived quality is complex. Therefore, when studying it, it is necessary to apply measurements along many dimensions. Scientific novelty. An important interest of transport operator is the dependence of passenger stress on the perceived quality of transport service. Point-oriented approaches to its study do not provide complete information that the management of the transport operator needs when developing measures to reduce passenger stress. The literature on passenger stress is analyzed from the point of view of the completeness of management information, which is necessary for transport operator to reduce passenger stress. The results of the literature review are checked in the authors' own research, which they conducted in Ukraine and the Grand Duchy of Luxembourg. New approaches to measurement of the dependence between passenger stress and the perceived quality of transport service are proposed. They form a broader methodological basis for research and management in this area. Practical significance. The application of the proposed approaches by the management of the transport operator will allow it to make decisions on regulating the quality of the transport service in order to reduce the stress of passengers on the basis of more complete management information.
34

Xiao, Qiang, Ruichun He, and Changxi Ma. "The analysis of urban taxi carpooling impact from taxi GPS data." Archives of Transport 47, no. 3 (September 30, 2018): 109–20. http://dx.doi.org/10.5604/01.3001.0012.6514.

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Taxi is an important part of urban passenger transportation system. The research and analysis of taxi trip behavior is the key to meet the demand of urban passenger transport and solve the traffic congestion problem. Based on the GPS data of taxis in Nanjing, the statistical method is used to analyze the taxi characteristics of the average number of passengers, the average passenger time, the no-load distance and the passenger distance. By using the double logarithmic coordinate, the trip distance and trip time of taxi passengers are analyzed, it is found that the average trip distance of taxi passengers is mainly concentrated in 3-20km, and the average trip time of taxi passengers is mainly concentrated in 10-30 minutes. Using the information entropy theory to construct the equilibrium model of taxi passenger-carrying point, and analyze the spatial distribution of taxi, it is found that the distribution of urban taxi is unbalanced. The peak clustering algorithm is used to determine the location of passenger gathering points, and the hot spot of taxi trip is analyzed, it is found that the hot spots of taxi trip are mainly concentrated in the central city of Nanjing. Combined with the results of urban taxi trip analysis, from the perspective of taxi and passenger, we found that the number of urban taxis, the passenger carrying rate of taxis, the duration period of passenger trip, the duration and distance of passenger trip and the location of passenger trip points will have an impact on the urban taxi carpooling in Nanjing. By using the probability model of urban taxi carpooling, this paper discusses and analyzes the influence of these factors on urban taxi carpooling. The research in this paper can provide a reference for the effective implementation of urban taxi carpooling policy.
35

Li, Wei, Min Zhou, and Hairong Dong. "CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions." Journal of Advanced Transportation 2020 (December 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/8850541.

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Emergencies have a significant impact on the passenger flow of urban rail transit. It is of great practical significance to accurately predict the urban rail transit passenger flow and carry out research on its temporal and spatial distributions under emergency conditions. Urban rail transit operating units currently use video surveillance information mainly to process emergencies and rarely use computer vision technology to analyze passenger flow information collected. Accordingly, this paper proposes a passenger flow-based temporal and spatial distribution model for urban rail transit emergencies based on the CPT. First, this paper clarifies the categories and classification of urban rail transit emergencies, analyzes the factors affecting passenger route selection, and establishes a generalized travel cost model for passengers under emergencies. Second, this paper establishes a passenger route choice behavior model for urban rail transit based on the cumulative prospect theory. Finally, taking Beijing as an example, this paper analyzes passenger travel behavior under emergencies based on multiple logistic regression models and analyzes the impact of emergencies on rail transit travel behavior. The research results show that the cumulative prospect theory can better describe the route choice behavior of rail transit passengers under emergencies than the existing models, and this model is of great significance for handling urban rail transit emergencies. The model proposed in this paper can provide a theoretical basis for the government and relevant departments to formulate traffic management measures.
36

Ricardianto, Prasadja, Heriyanto Wibowo, Lira Agusinta, Edi Abdurachman, Abdullah Ade Suryobuwono, Peppy Fachrial, Agus Setiawan, Salahudin Rafi, Siti Maemunah, and Endri Endri. "Determinants of airport train operational performance." International Journal of Data and Network Science 6, no. 1 (2022): 91–98. http://dx.doi.org/10.5267/j.ijdns.2021.9.019.

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This study aims to analyze the improvement of the operational performance of Indonesia’s Soekarno-Hatta Airport train through service quality which is mediated by train passenger loyalty and passenger satisfaction. The main problems in this study are the use of the same railway for long-distance train, airport train, and commuter Line train, the limited use of airport railway with four schedules, the headway which becomes 30 minutes since the number of travels becomes 82 trips, and the tariff being applied now is considered as burdening the passengers. The research method uses a quantitative analysis approach with the technique of Structural Equation Modeling-Lisrel. Data collection is done through observation and questionnaire distribution. The respondents are 306 passengers of trains heading for Soekarno-Hatta Airport. The benefit of this study for the domestic railway company is that by improving service quality, passenger loyalty and satisfaction, it will improve the operational performance of airport trains. The result of this research indicates the significant influence of service quality variable on passenger loyalty through passenger satisfaction, the significant influence of service quality variable on operational performance through passenger satisfaction and passenger loyalty as well as the significant influence of passenger satisfaction variable on operational performance through passenger loyalty.
37

Trubin, Nicolay, Elena Bondarenko, Igor Lyubimov, and Nail Sultanov. "The Quality Improvement of City Passenger Traffic on The Basis of the Passenger Capacity Control." MATEC Web of Conferences 329 (2020): 01010. http://dx.doi.org/10.1051/matecconf/202032901010.

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The article presents the reasoning of the development methodology of the quality improvement of city passenger automobile traffic on regular routes based on the modern means use at the accounting of the bus passengers occupancy and intermedia, processing and the information use about the bus fullness by passengers for dispatching management of vehicles operating mode on route.
38

Rahnama, Shaghayegh, Adriana Cortez, and Andres Monzon. "Navigating Passenger Satisfaction: A Structural Equation Modeling–Artificial Neural Network Approach to Intercity Bus Services." Sustainability 16, no. 11 (May 22, 2024): 4363. http://dx.doi.org/10.3390/su16114363.

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The phenomenon of passenger satisfaction is an important issue for public transport services and transport companies. Clarifying the relationship between influencing attributes and passenger satisfaction significantly improves service satisfaction. This study examines passenger satisfaction with intercity buses and, in particular, the role of digital information channels (websites and mobile apps) in promoting sustainable travel choices on the Madrid–Bilbao route. This study analyzed data from 459 passengers to identify the key factors influencing the bus choice for intercity bus travel. Punctuality, safety, and ticket price are the most important determinants. We use a combined structural equation modeling (SEM) and artificial neural network (ANN) approach to capture the intricate relationships between service attributes and information channels. The results show that information channels, travel experience, and ticket prices significantly impact passenger satisfaction, which bus operators should improve. Also, inserting the SEM result as input for the ANN showed that ticket price is the most significant predictor of satisfaction, followed by information channels (84%) and travel experience (65%). This approach provides valuable insights for improving the passenger experience. This study emphasizes integrating digital transformation strategies into public transport systems to promote sustainable mobility goals.
39

Kumar, Dr Manoj, and Krishan Kant Meena. "A Study on Air Traveller’s Satisfaction of Service Quality for Jaipur International Airport (JIA)." Indian Journal of Management and Language 2, no. 2 (October 30, 2022): 25–32. http://dx.doi.org/10.54105/ijml.b2050.102222.

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This paper explores on service quality of an Jaipur International airport, which is more influenced on the passenger satisfaction. Measuring and improving service quality has become an important. The quality of airport services for passenger is investigated in this paper using Airport Council international Airport service Quality (ASQ) method. The data were collected through structured questionnaire addressed to departing and arrival passengers. Passengers expressed their perceptions according to an ordinal verbal scale about some service factors concerning aspects such as Check-In, security, Airport facilities, access, and arrival services etc. We propose an ordered ACI ASQ model with the aim to investigate on the result from the analysis has suggested that all the dimensions of service quality influences the passenger satisfaction. The information endowed with the study can be used for designing the marketing strategies to improve the passenger satisfaction in aviation industry.
40

Ong, Ardvin Kester S., Yogi Tri Prasetyo, Andrei Estefanio, Ayen Sienna Tan, Jedrek Charles Videña, Renz Albert Villanueva, Thanatorn Chuenyindee, Kriengkrai Thana, Satria Fadil Persada, and Reny Nadlifatin. "Determining Factors Affecting Passenger Satisfaction of “Jeepney” in the Philippine Urban Areas: The Role of Service Quality in Sustainable Urban Transportation System." Sustainability 15, no. 2 (January 9, 2023): 1223. http://dx.doi.org/10.3390/su15021223.

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Jeepneys are the most accessible and affordable public transportation in urban areas of the Philippines. The goal of this research was to explore passenger satisfaction with the overall service quality of a jeepney. A total of 600 jeepney passengers voluntarily answered an online questionnaire consisting of 59 questions. Different factors such as Passenger Expectation, Cleanliness and Comfort, Ambiance, Safety, Driver Behavior, Service Adequacy, Route Efficiency, Information Materials, Value for Money, Passenger Satisfaction, and Future Intentions were examined simultaneously by utilizing the structural equation modeling (SEM) approach. SEM indicated that safety was found to have the highest effect on passenger satisfaction, followed by the driver’s behavior, value for money, service adequacy, and information materials. This is the first complete study that explores passenger satisfaction with the overall service quality of jeepneys. The findings of this study can be utilized by the government and jeepney operators to enhance the overall service quality by focusing on safety and the behavior of drivers. This would result in increased passenger satisfaction and, consequently, a positive intention on using the mode of transportation.
41

Stamou, Angelos, Paul Kuqo, Athanasios Douklias, Markos Antonopoulos, Margarita Kostovasili, Lazaros Karagiannidis, and Angelos Amditis. "The Implementation of a Smart Lifejacket for Assisting Passengers in the Evacuation of Large Passenger Ships." Applied Sciences 13, no. 4 (February 16, 2023): 2522. http://dx.doi.org/10.3390/app13042522.

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The evacuation and abandonment of large passenger ships, involving thousands of passengers, is a safety-critical task where techniques and systems that can improve the complex decision-making process and the timely response to emergencies on board are of vital importance. Current evacuation systems and processes are based on predefined and static exit signs, information provided to the passengers in the form of evacuation drills, emergency information leaflets and public announcements systems. It is mandatory for passengers to wear lifejackets during an evacuation, which are made of buoyant or inflatable material to keep them afloat in the water. Time is the most critical attribute in ship evacuation and can significantly affect the overall evacuation process in case passengers do not reach their embarkation stations in a timely manner. Moreover, extreme conditions and hazards, such as fire or flooding, can prevent and hinder the timely evacuation process. To improve the current evacuation systems onboard large passenger ships, a smart lifejacket has been designed and implemented within the context of the project SafePASS. The proposed smart lifejacket integrates indoor localization and navigation functionality to assist passengers during the evacuation process. Once the passenger location is calculated within the ship, the navigation feature guides the passengers along an escape route using vibration motors attached to the lifejacket. This is done in the form of haptic cues to help passengers reach their destination, especially in low-visibility conditions and in case they are left behind or lost. This can increase passenger safety and reduce the total evacuation time, as well as support dynamic evacuation scenarios where the predefined routes and static exit routes may not be available due to fire or flooding incidents.
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Zhuk, Mykola, Volodymyr Kovalyshyn, and Vladyslav Zelemskyi. "Study of the passengers average waiting time at public transport stops." Transport technologies 2023, no. 1 (June 6, 2023): 21–28. http://dx.doi.org/10.23939/tt2023.01.021.

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When predicting public transport routes in cities, important indicators should be considered: the duration of stay on the bus route, passenger flow on the bus route, points of attraction and the passenger’s average waiting time at stops. These indicators are the basis for planning the operation of city transport. In particular, predicting the duration of traffic by studying the average passenger’s waiting time at stops is an important planning tool for transport companies. Therefore, this study can improve the quality of scheduled services by reducing the gap between actual and scheduled travel time. This article discusses this relevance and, based on experimental evidence, points to the benefit of using studies of average passenger waiting times, especially considering population groups. In fact, most of the factors which affect public transport operation, as had been proven by previous studies, follow a definite mathematical methodology. The analysis was performed using the data from field studies of passenger flow at bus stops (Lviv, Ukraine). The study of passengers at stopping points makes it possible to improve the quality of public transport services (calculate travel duration between stops and the duration of stay at them more accurately). The duration of stay at selected objects depending on a number of passengers was studied. Also, there are given the results of a study of the waiting time of public transport passengers at bus stops are given. A comparison of the dependence of the bus waiting time on population groups was obtained. After receiving this information, system operators can design and adjust the data according to the estimated trip duration. Nevertheless, it is necessary to carry out research at different types of stops in different parts of cities to clarify these data and for a more detailed analysis.
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Hwang, Hun-Gyu, and Jang-Se Lee. "Bus Information System Providing Passenger Number Information." Journal of the Korea Contents Association 9, no. 12 (December 28, 2009): 31–38. http://dx.doi.org/10.5392/jkca.2009.9.12.031.

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44

Balaka, Yevgeniy, Maryna Rezunenko, and Volodymyr Vdovychenko. "COMPARATIVE FORECAST OF PASSENGER TRANSPORTATION IN LONG HAUL RAILWAY AND LONG-DISTANCE BUS SERVICE." Automobile transport, no. 48 (May 29, 2021): 54–63. http://dx.doi.org/10.30977/at.2219-8342.2021.48.0.54.

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The article presents methodological approaches to determining the volume of passenger service in long-distance railway connections and intercity bus services in Ukraine, which are expected in the coming years. Goal. The purpose of the study is to increase the reliability of the information base for making informed management decisions on the further development of the transport passenger complex. Methodology. In the process of research there was used a set of methods of expert assessment and logical analysis of possible factors influencing; economic and mathematical modeling; formalized extrapolation methods to determine the predictive parameters of influencing factors. Results. The forecast values of the number of transported passengers and the values of passenger turnover in long-distance railway and intercity bus connections in the short-term period are obtained. Originality. To estimate the forecast values of passenger traffic there was used the combination of methods of correlation-regression analysis and forecasting the magnitude of factors by the method of variable average. Practical value. The study of the patterns of passenger traffic dynamics revealed that in the next two years no significant changes are expected in the volume of work of both kinds of transport. However, in long-distance railway transport it is possible to increase passenger traffic by 1.6% (0.74 million passengers) and, accordingly, the annual passenger turnover will increase by 2.2%. In the intercity bus service, a slight decrease in the volume of passenger traffic by 0.8% (0.93 million passengers) is possible, and the rate of decrease in annual passenger turnover will be 0.5%. In the conditions of constant reduction of the population of Ukraine the most effective mechanism of ensuring further sustainable development of both types of passenger transportation is constant adjustment of tariff policy on the principles of flexibility and bonus tariff formation under condition of continuous improvement of services quality.
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Su, Min, Weixin Luan, Liuyan Yuan, Rui Zhang, and Zhenchao Zhang. "Sustainability Development of High-Speed Rail and Airline—Understanding Passengers’ Preferences:A Case Study of the Beijing–Shanghai Corridor." Sustainability 11, no. 5 (March 4, 2019): 1352. http://dx.doi.org/10.3390/su11051352.

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With the rapid construction of high-speed railways (HSR), the supply structure of the transportation modes in China has changed greatly. In order to seek the sustainable development of HSR and air transport from the perspective of passenger mode choice behavior, this paper applied a binary logit model to explore the mode choice patterns in the Beijing–Shanghai corridor, which has the most successfully operated HSR line in China. By using the data collected in airports and HSR stations in the two cities, passenger flow composition and passenger mode choice behavior was analyzed. It was found that passengers’ preference for air transport decreases with the accompanying number of passengers and access time, and increases with income; female passengers and younger passengers have a higher probability of choosing air transport, ceteris paribus; and leisure passengers are more price-sensitive, they tend to travel by air transport when the air transport prices are lower. The study results reveal the travel characteristics of passengers between Beijing–Shanghai and provide information for policy design and infrastructure management.
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Sun, Qi, Fang Sun, Cai Liang, Chao Yu, and Yamin Zhang. "Research on digital flow control model of urban rail transit under the situation of epidemic prevention and control." Smart and Resilient Transport 3, no. 1 (February 15, 2021): 78–92. http://dx.doi.org/10.1108/srt-09-2020-0010.

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Purpose Beijing rail transit can actively control the density of rail transit passenger flow, ensure travel facilities and provide a safe and comfortable riding atmosphere for rail transit passengers during the epidemic. The purpose of this paper is to efficiently monitor the flow of rail passengers, the first method is to regulate the flow of passengers by means of a coordinated connection between the stations of the railway line; the second method is to objectively distribute the inbound traffic quotas between stations to achieve the aim of accurate and reasonable control according to the actual number of people entering the station. Design/methodology/approach This paper analyzes the rules of rail transit passenger flow and updates the passenger flow prediction model in time according to the characteristics of passenger flow during the epidemic to solve the above-mentioned problems. Big data system analysis restores and refines the time and space distribution of the finely expected passenger flow and the train service plan of each route. Get information on the passenger travel chain from arriving, boarding, transferring, getting off and leaving, as well as the full load rate of each train. Findings A series of digital flow control models, based on the time and space composition of passengers on trains with congested sections, has been designed and developed to scientifically calculate the number of passengers entering the station and provide an operational basis for operating companies to accurately control flow. Originality/value This study can analyze the section where the highest full load occurs, the composition of passengers in this section and when and where passengers board the train, based on the measured train full load rate data. Then, this paper combines the full load rate control index to perform reverse deduction to calculate the inbound volume time-sharing indicators of each station and redistribute the time-sharing indicators for each station according to the actual situation of the inbound volume of each line during the epidemic. Finally, form the specified full load rate index digital time-sharing passenger flow control scheme.
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Cheng, Xiaoyun, Yu Cao, Kun Huang, and Yuejiao Wang. "Modeling the Satisfaction of Bus Traffic Transfer Service Quality at a High-Speed Railway Station." Journal of Advanced Transportation 2018 (July 16, 2018): 1–12. http://dx.doi.org/10.1155/2018/7051789.

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Bus transit is one of the main transfer modes at high-speed railway (HSR) stations. Performing a scientific and reasonable evaluation of the present bus traffic transfer service is highly significant for improving the efficiency of the HSR and increasing the use of the system. This paper focuses on the passengers’ transfer experience and proposes a methodology to evaluate current bus traffic transfer service. Factors that affect passenger satisfaction during the bus transfer process at HSR stations based on the passengers’ perceptions are analyzed by convenience, comfort, safety, service, and economy. A structural equation model (SEM) is developed as an evaluation approach to explore the correlations of bus transfer service, passenger perceived value, and passenger satisfaction. To calibrate the model, a questionnaire survey of passengers transferring to a bus was conducted at Xi’anbei Railway Station. This paper analyzes the relationships between observed variables and latent variables in the measured model, the influences of exogenous variables on endogenous variables in the structural model, and the impact of the passengers’ socioeconomic attributes on passenger satisfaction. Analysis results of the SEM show that economy and convenience are the critical influential indicators of passenger satisfaction, among which bus fare preferential policy and transfer distance are the most significant factors. The findings can provide helpful information for planners and managers to improve the services of existing HSR stations and to guide the planning of new ones.
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Zhu, Yadi, Feng Chen, Ming Li, and Zijia Wang. "Inferring the Economic Attributes of Urban Rail Transit Passengers Based on Individual Mobility Using Multisource Data." Sustainability 10, no. 11 (November 13, 2018): 4178. http://dx.doi.org/10.3390/su10114178.

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Socioeconomic attributes are essential characteristics of people, and many studies on economic attribute inference focus on data that contain user profile information. For data without user profiles, like smart card data, there is no validated method for inferring individual economic attributes. This study aims to bridge this gap by formulating a mobility to attribute framework to infer passengers’ economic attributes based on the relationship between individual mobility and personal attributes. This framework integrates shop consumer prices, house prices, and smart card data using three steps: individual mobility extraction, location feature identification, and economic attribute inference. Each passenger’s individual mobility is extracted by smart card data. Economic features of stations are described using house price and shop consumer price data. Then, each passenger’s comprehensive consumption indicator set is formulated by integrating these data. Finally, individual economic levels are classified. From the case study of Beijing, commuting distance and trip frequency using the metro have a negative correlation with passengers’ income and the results confirm that metro passengers are mainly in the low- and middle-income groups. This study improves on passenger information extracted from data without user profile information and provides a method to integrate multisource big data mining for more information.
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Melnikova, A. Yu. "DETERMINATION OF PUBLIC DEMAND FOR TRANSPORT SERVICES." World of Transport and Transportation 14, no. 6 (December 28, 2016): 128–34. http://dx.doi.org/10.30932/1992-3252-2016-14-6-13.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT The article studies the demand of the population for urban passenger transport services, and the satisfaction of passengers with the quality of vehicle operation and drivers, information support for passenger transportation. Based on the wishes of the respondents based on the results of the questionnaire survey, proposals have been developed to improve transport services in the city of Oryol. Keywords: urban passenger transport, transport services, transport mobility, demand for transport services.
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Amal, Andi Syaiful, Shaufi Kholif Arfintana, and Khoirul Abadi. "Analisa Kinerja Angkutan Umum Penumpang Perkotaan Ditinjau Dari Tingkat Pelayanan di Kota Tuban." Jurnal Ilmiah Universitas Batanghari Jambi 21, no. 2 (July 16, 2021): 885. http://dx.doi.org/10.33087/jiubj.v21i2.1388.

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Passenger public transportation in Tuban is one of the means of transport used by the community to meet the transport needs. Total fleet of public transport passengers registered and active operating as many as 40 vehicles, consisting of 30 units of passenger public transportation route A and 10 units of passenger public transportation route B, with a capacity of 12 passengers/vehicle. Passenger public transportation operates from 06.00 - 17.00 with the number of trips ranging from 7-8 trips/day every vehicle and can carry 9-10 passengers/trip every vehicle. The waiting time of passenger route A average of 3 minutes, and route B average of 9 minutes. The purpose of research is to determine the performance and productivity of the passenger public transportation of Tuban. The research using empirical methods to obtain information from observations in the field and these observations are presented in the form of data.The research results it is known that the performance and productivity of public transportation on route A and B. Route A has an average load factor of 81,39%, an average frequency of 20,97 vehicles/hour, an average headway of 2.88 minutes, an average travel time of 3,50 minutes/km, an average travel speed of 21,52 km/hour, and a productivity 7,62 trips/day-vehicle, with 74,45 passengers/day-vehicle. Route B has an average load factor of 78,19%, an average frequency of 7,15 vehicles/hour, an average headway of 8,93 minutes, an average travel time of 2,39 minutes/km, an average travel speed of 21,78 km/hour, and a productivity 7,74 trips/day-vehicle, with 72,6 passengers/day-vehicle..

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