The impact of pricing, train frequencies and travel times on railway passenger flows in the Paris Basin

One of the main problems to be solved by the transport operators is the substantiation of the vehicle models servicing the transport lines. A gametheoretical approach is proposed in this paper to justify the bus model choice based on the passengers’ preferences and the structure of the passenger flows. To estimate the customers’ preferences, the membership functions for fuzzy sets of the optimal vehicle models were defined. The simulation experiment aiming to estimate the city fleet structure in terms of the vehicles’ capacity was conducted for the Talas city (Kazakhstan) based on the proposed approach with use of the corresponding software implementation of the developed mathematical models. As a result of the experimental studies, the impact of the passengers’ flow structure and the number of carriers on the rational structure of the city bus fleet was studied in the paper.

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Digitalization of the Marketing Activities of Enterprises: Case Study

Information ◽

10.3390/info11020109 ◽

2020 ◽

Vol 11 (2) ◽

pp. 109 ◽

Cited By ~ 4

Author(s):

Nestor Shpak ◽

Oleh Kuzmin ◽

Zoriana Dvulit ◽

Tetiana Onysenko ◽

Włodzimierz Sroka

Keyword(s):

Swot Analysis ◽

Marketing Activity ◽

Structural Dynamic ◽

Ticket Sales ◽

Online Sales ◽

Passenger Transportation ◽

Electronic Distribution ◽

Global Information Society ◽

Railway Passenger ◽

The Impact

The pace and scale of the digitalization of today’s global information society open up new opportunities for business. At the same time, they set new challenges for business owners and managers in the field of marketing. Given this fact, the purpose of the study was to present the impact of digitalization on the marketing activity of the enterprise in the field of services by promoting the use of online sales via electronic distribution channels, social networks, and mobile applications. A comparative system of estimating the parameters of the influence of digitalization on the marketing activity of the enterprise was proposed as a confirmation of this impact. Based on the developed “tree of goals,” the dynamics of the digitalization of services were projected and the prospects of development of this sphere of activity were outlined. For testing the proposed methodology, the railway passenger transportation company (JSC “Ukrzaliznytsia”) was chosen as the object of the research. Research methods used in the study include: (1) statistical; (2) SWOT analysis; (3) systematization, comparative, and structural-dynamic analysis; and (4) an expert survey. As a result of revealing the impact of individual elements of digitalization on the level of marketing activity, the number of recommendations regarding the development of digitalization of electronic ticket sales services and their accounting for enterprises dealing with railway passenger transportation were proposed.

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Quantification of the impact of paleoclimates on the deep heat flux of the Paris Basin

Geothermics ◽

10.1016/j.geothermics.2016.01.006 ◽

2016 ◽

Vol 61 ◽

pp. 35-45 ◽

Cited By ~ 4

Author(s):

Jacques Dentzer ◽

Simon Lopez ◽

Sophie Violette ◽

Dominique Bruel

Keyword(s):

Heat Flux ◽

Paris Basin ◽

The Impact

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INFORMATION SUPPORT OF MODELING OF GRAVITY FUNCTION OF EMPLOYEES OF CITY SERVICE ENTERPRISES

Municipal economy of cities ◽

10.33042/2522-1809-2021-3-163-165-172 ◽

2021 ◽

Vol 3 (163) ◽

pp. 165-172

Author(s):

I. Chumachenko ◽

N. Davidich ◽

A. Galkin ◽

Yu. Davidich ◽

Y. Kush ◽

...

Keyword(s):

Urban Transport ◽

Information Support ◽

Transport Systems ◽

Average Salary ◽

Passenger Traffic ◽

Urban Service ◽

Passenger Flows ◽

The Cost ◽

The Impact ◽

The City

The article is devoted to the establishment of information support to determine the patterns of changing the function of gravitation of employees of the urban-service enterprises. It has been established that the development of urban transport systems is impossible without the use of information technology to predict the parameters of the formation and absorption of passenger traffic. The design of urban transport systems cannot be achieved without assessing the impact of traffic improvement measures on changes in traffic and passenger flows. The main parameter by which it is possible to predict the choice of places of gravity by the inhabitants of cities is the function of gravitation between different areas of the city. The formalized functions of the gravitation of urban dwellers are not differentiated by the social composition of the population of cities. In addition, they use only travel time between areas of the city as an independent variable. The article proposes the formalization of the gravitation function of employees of the urban service enterprises using the parameters of the urban transport system, areas of departure and arrival, as well as the cost of movement. A special questionnaire has been developed to obtain the original information. A natural survey was carried out using it. As a result of the processing of survey data using correlation and regression analysis methods, the degree of influence of the studied factors on the value of the gravitation function of employees of urban service enterprises was revealed. Analysis of the correlation values obtained showed that the most significant impact on the value of the gravitation function of employees of urban services is the ratio of the cost of movement between districts and average wages in the city. The least impact is the distance from the area of residence to the place of application of work, the ratio of the cost of one square meter of housing in the area of residence and the average salary in the city, the ratio of the cost of one square meter of housing in the area of employment application and the average salary in the city. However, the compatible influence of all factors can change the level of influence of each factor and its combinations. In addition, it is advisable to take into account the technical and operational performance of urban passenger transport routes and individual transport routes.

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CALIBRATION OF VILNIUS PUBLIC TRANSPORT MODEL

Transport ◽

10.3846/16484142.2006.9638066 ◽

2006 ◽

Vol 21 (3) ◽

pp. 201-206 ◽

Cited By ~ 3

Author(s):

Rasa Ušpalyte-Vitkūniene ◽

Marija Burinskiene ◽

Vytautas Grigonis

Keyword(s):

Public Transport ◽

Information Technologies ◽

Transport Model ◽

Transport Infrastructure ◽

Transport Systems ◽

Transport Modelling ◽

Financial Investment ◽

Performance Quality ◽

Passenger Flows ◽

The Impact

The application of information technologies preconditions the optimisation of performance of transport systems: improvement of the performance quality, safety and efficiency of the overall system, increase in capacity, reduction of the trip duration without high financial investment into construction of the new technical infrastructure. The transport modelling is the only economical and sufficiently reliable way to carry out a forward assessment of the impact of the innovations to be applied on the overall system. The network of Vilnius public transport was built up on the data of 2002, and the year 2002 saw the last comprehensive surveys. Building up the PT network the data was taken from the VIDAS database, created in 2002 while drafting the special plan for Vilnius transport infrastructure (tram) development. The morning rush hour, when the passenger flows are maximum, was chosen for the modelling. Calibration of Vilnius PT network was carried out after selection of three possible methods: TSys‐based, Headway‐based and Timetable‐based. In the timetable‐based model Logit, Kirchhoff, BoxCox and Lochse distribution factors are inter‐changed. Analysis of all coefficients received when modelling allows a conclusion that further modelling of the development of Vilnius public transport network should be based on Timetable‐based model choosing Kirchhoff or BocCox distribution laws, whereof conformity to the basic averages of coefficients of the 2002 survey is respectively 0,82 and 0,81. This would facilitate adopting solutions to the development of the public transport systems and would increase their reliability. The calculated coefficients revealed that TSys‐based methods were mostly removed from reality, and the average coefficient of failure to conform to the data of the 2002 survey is 0,24. This method did not give any data about the load on the stops, although the number of trips modelled with the help of this method was most proximate to the survey data, i.e. 0,69 %.

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Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage

Sustainability ◽

10.3390/su11143822 ◽

2019 ◽

Vol 11 (14) ◽

pp. 3822 ◽

Cited By ~ 2

Author(s):

Fahad Alrukaibi ◽

Rushdi Alsaleh ◽

Tarek Sayed

Keyword(s):

Machine Learning ◽

Real Time ◽

Statistical Approach ◽

Penetration Rate ◽

Time Travel ◽

Machine Learning Algorithms ◽

Estimation Accuracy ◽

Travel Times ◽

Urban Networks ◽

The Impact

The objective of this study is to estimate the real time travel times on urban networks that are partially covered by moving sensors. The study proposes two machine learning approaches; the random forest (RF) model and the multi-layer feed forward neural network (MFFN) to estimate travel times on urban networks which are partially covered by moving sensors. A MFFN network with three hidden layers was developed and trained using the back-propagation learning algorithm, and the neural weights were optimized using the Levenberg–Marquardt optimization technique. A case study of an urban network with 100 links is considered in this study. The performance of the proposed models was compared to a statistical model, which uses the empirical Bayes (EB) method and the spatial correlation between travel times. The models’ performances were evaluated using data generated from VISSIM microsimulation model. Results show that the machine learning algorithms, e.g., RF and ANN, achieve average improvements of about 4.1% and 2.9% compared with the statistical approach. The RF, MFFN, and the statistical approach models correctly predict real time travel times with estimation accuracies reaching 90.7%, 89.5%, and 86.6% respectively. Moreover, results show that at low moving sensor penetration rate, the RF and MFFN achieve higher estimation accuracy compared with the statistical approach. At probe penetration rate of 1%, the RF, MFFN, and the statistical approach models correctly predict real time travel times with estimation accuracy of 85.6%, 84.4%, and 80.9% respectively. Furthermore, the study investigated the impact of the probe penetration rate on real time neighbor links coverage. Results show that at probe penetration rates of 1%, 3%, and 5%, the models cover the estimation of real time travel times on 73.8%, 94.8%, and 97.2% of the estimation intervals.

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Influence of Passenger Flow at the Station Entrances on Passenger Satisfaction Amid COVID-19

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc6040150 ◽

2020 ◽

Vol 6 (4) ◽

pp. 150 ◽

Cited By ~ 1

Author(s):

Roman Sidorchuk ◽

Anastasia Lukina ◽

Ilya Markin ◽

Stanislav Korobkov ◽

Natalia Ivashkova ◽

...

Keyword(s):

Secondary Data ◽

Railway Stations ◽

Passenger Flow ◽

Passenger Satisfaction ◽

Perceived Satisfaction ◽

Passenger Flows ◽

Centers Of Mass ◽

And Control ◽

The Impact ◽

The Relationship

Railway stations are centers of mass accumulation of people. Additional regulations change the intensity of the flow of visitors and the time of entering the station. Delays become an essential factor affecting the perceived satisfaction with all services at stations. This paper analyzes the impact of the intensity of passenger flow in the key areas of the station (entrance groups) on the satisfaction of visitors with station functioning (by the example of Moscow railway stations). The authors of the paper used methods of observation to measure the current passenger flows at the entrances to the station and also collected secondary data on transport flows at city railway stations. To predict passenger flow, the authors used statistical methods to assess the relationship between variables and regression. The paper used a survey of passengers to analyze satisfaction with the functioning of railway station facilities and assess the acceptable delay time at the entrance/exit to the station. The article substantiates that in the context of current requirements for transport security, an important factor for perceived satisfaction with station services is the forecasting and management of passenger flows and control of time of entering the station.

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