Relevant bibliographies by topics / Passenger modelling

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  1. Journal articles

Academic literature on the topic 'Passenger modelling'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Passenger modelling"

1

Das, Amsori M. "Persamaan Struktur Loyalty Modelling Pengguna Public Transport Railway MRT- SBK Greaters Kuala Lumpur Malaysia." Jurnal Ilmiah Universitas Batanghari Jambi 20, no. 3 (2020): 895. http://dx.doi.org/10.33087/jiubj.v20i3.1078.

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In the context of transportation, the passenger loyalty is a measurement of the level of passenger’s willingness to use a similar public transport. The goal of this study is to examines and identifies factors that influencing passenger loyalty. Three factors such as satisfaction, service value, services quality was predicted as an influential factor towards passengers’ loyalty. The Mass Rapid Transit (MRT) for Sungai Buloh to Kajang (SBK) line in Kuala Lumpur conurbation was used as a case study and 555 respondents have contributed to this study. Structural equation modelling (SEM) was used to investigate the relationship between service quality, service value, passenger satisfaction and passenger loyalty. Satisfaction has the most significant influence on passenger loyalty. Service value has direct and positive effects on passenger loyalty. This study also found the service quality has significant indirect effect on the passenger loyalty via service value and passenger satisfaction.The structural model for investigating the loyalty of MRT-SBK users to this service has been analysed and tested using the service quality, satisfaction and quality value showed 75% positive change for all variables. These models recorded average errors and absolute index evaluation in accepted criteria of ≤ 0.09 and ≥ 0.94 respectively. The study reveals that MRT-SBK passengers’ loyalty is significantly influenced by service attributes, such as vehicle safety, convenience, punctuality, comfort, cleanliness of the facility provided. This study helps MRT service provider to optimize resource to enhance user’s satisfaction and therefore, increase the passenger loyalty
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2

Zhu, Wei, Wei Wang, and Zhaodong Huang. "Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data." Journal of Advanced Transportation 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/5824051.

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An urban rail transit (URT) system is operated according to relatively punctual schedule, which is one of the most important constraints for a URT passenger’s travel. Thus, it is the key to estimate passengers’ train choices based on which passenger route choices as well as flow distribution on the URT network can be deduced. In this paper we propose a methodology that can estimate individual passenger’s train choices with real timetable and automatic fare collection (AFC) data. First, we formulate the addressed problem using Manski’s paradigm on modelling choice. Then, an integrated framework for estimating individual passenger’s train choices is developed through a data-driven approach. The approach links each passenger trip to the most feasible train itinerary. Initial case study on Shanghai metro shows that the proposed approach works well and can be further used for deducing other important operational indicators like route choices, passenger flows on section, load factor of train, and so forth.
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3

YAN, Zhenying, Meiying JIAN, Xiaojuan LI, and Jinxin CAO. "Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets." Promet - Traffic&Transportation 34, no. 3 (2022): 455–65. http://dx.doi.org/10.7307/ptt.v34i3.3942.

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Passenger choice behaviour of buying tickets has a great impact on the high-speed rail (HSR) revenue management. It is very critical to find out the sensitive factors that prevent passengers with high willingness to pay for a ticket from buying low-price tickets. The literature on passenger choice behaviour mainly focuses on travel mode choice, choice between a conventional train and a high-speed train and choice among high-speed trains. To extend the literature and serve revenue management, this paper investigates passenger choice behaviour of buying high-speed railway tickets. The data were collected by the stated preference (SP) survey based on Beijing-Hohhot high-speed railway. The conditional logit model was established to analyse influencing factors for business travel and non-business travel. The results show that: business passengers have the higher inherent preference for full-price tickets, while non-business passengers have the higher inherent preference for discount tickets; the number of days booked in advance and frequent passenger points have a significant impact on the ticket choice of business travellers, but not on non-business travellers; passengers are unwilling to buy tickets that depart after 16:00 for non-business travel; factors have different effects on the passengers' choice in business travel and non-business travel. The results can provide parameters for revenue management models and references for the ticket-product design.
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4

Yang, Bo, Xuedong Yan, and Dahai Guo. "Level of Service Analysis Based on Maximum Number of Passengers in Waiting Room of Railway Passenger Station Using Arena Simulation." Discrete Dynamics in Nature and Society 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/452035.

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The level of service is an important aspect of the operation and management at a railway passenger station. Particularly, the level of service in waiting room (LOSWR) is one of the most important influential factors in deciding passengers’ satisfaction. This paper proposes a model for finding the LOSWR based on the maximum number of passengers, and an Arena simulation model that simulates passengers’ aggregation behaviors in the waiting room is presented for analyzing the LOSWR. Through the simulation, we demonstrate how the passenger advanced arrival time and the accompany rate influence the maximum number of passengers and the LOSWR. In addition, the simulation also illustrates the effect utilities and the priority of different measures that can be used to improve the LOSWR. In detail, the simulation results demonstrate that the passenger advanced arrival time and advanced check-out time have much stronger effect utilities on the maximum number of passengers and the LOSWR than other discussed factors. The simulation suggests that the Arena is an effective simulation platform for analyzing complex passengers-related behaviors at railway passenger station.
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5

Zheng, Jinzi. "Research on Passenger Flow Assignment of High-Speed Trains Based on Personalized Itinerary Choice." Discrete Dynamics in Nature and Society 2020 (May 1, 2020): 1–8. http://dx.doi.org/10.1155/2020/6543571.

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Under the condition that ticket fare for high-speed train could fluctuate around a benchmark price in China, aimed at predicting how the passengers will distribute among different trains given a ticket fare, the passenger flow assignment method for high-speed trains is studied. Different from the classical researches on the passenger flow assignment, by introducing a variable that represents the value of time, this research allows passengers to make their personalized choice between the principles of time minimization and expense minimization, so as to demonstrate how the passengers holding different time values respond to each ticket fare scheme. An equilibrium passenger flow assignment model based on personalized choice is built and an improved Monte-Carlo random simulation algorithm is designed for solving the model. The actual ticket sale data for Beijing-Shanghai high-speed railway are used to verify the feasibility of the proposed model and algorithm. The passenger flow assignment results under various fare schemes show how the distribution of passenger flow changes with the adjustment of ticket fare.
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6

Gao, Jianghua, Limin Jia, and Jianyuan Guo. "Applying System Dynamics to Simulate the Passenger Flow in Subway Stations." Discrete Dynamics in Nature and Society 2019 (December 19, 2019): 1–14. http://dx.doi.org/10.1155/2019/7540549.

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A macroscopic passenger flow simulation model based on system dynamics is proposed in this paper. It considers the key factors influencing the dynamics of passenger flow from a holistic perspective of the stations and then models the dynamic change in the number of passengers. Firstly, the transmission of passenger flow for a general many-to-many relation between nodes are presented. When the sum of sending capacities heading for a downstream node is less than the receiving capacity of this node, the aggregation of stranded passengers will form the queuing part of the node. The results coming from a passenger flow simulation of a subway station in Beijing show that the proposed model performs well by comparing it with the real data. It can be applied to describe the dynamic change in the number of passengers and the level of service for the facilities.
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7

Palmowska, Agnieszka, and Izabela Sarna. "CFD Modelling of Thermal Comfort in the Passenger Coach." Architecture, Civil Engineering, Environment 15, no. 4 (2022): 133–46. http://dx.doi.org/10.2478/acee-2022-0044.

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Abstract This paper presents the results of numerical simulations of thermal comfort in a passenger coach. The numerical model with people's presence was developed and appropriate boundary conditions were prepared. The ANSYS CFX program was used for the simulations. The calculations were carried out for summer and winter conditions. The predicted mean vote (PMV), predicted percentage dissatisfied (PPD) and draft rate (DR) were calculated to assess the thermal comfort of passengers. The requirements of railway standards in terms of passenger comfort assessment were also verified. Based on the simulation results, it was found that the thermal comfort conditions of the passengers in the coach were not fully satisfactory, especially in summer.
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8

Setiawan, Rudy. "The Effect of Service Quality and Service Value on Suroboyo Bus Passenger Satisfaction." IOP Conference Series: Earth and Environmental Science 830, no. 1 (2021): 012005. http://dx.doi.org/10.1088/1755-1315/830/1/012005.

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Abstract It is important for the public transit operator to understand the effect of service quality and service value on passenger satisfaction, to maintain passengers loyalty and to attract more passengers. This study analyzed the effect of service quality and service value on Suroboyo Bus passengers satisfaction. Data were collected from a random sample of 300 Suroboyo Bus passenger and was analyzed using Structural Equation Modelling. Results show that service quality has significant positive effects on the service value, and both the service quality and the service value have significant positive effects on the passenger satisfaction. The results as well indicate that service quality only explains up to 4.5% variance of service value, while service quality and service value explains up to 48.8% variance of passenger satisfaction. Additionally, Suroboyo Bus passenger satisfaction more affected by service value, than by service quality.
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9

Setiawan, Rudy. "The Effect of Service Quality and Service Value on Suroboyo Bus Passenger Satisfaction." IOP Conference Series: Earth and Environmental Science 830, no. 1 (2021): 012005. http://dx.doi.org/10.1088/1755-1315/830/1/012005.

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Abstract It is important for the public transit operator to understand the effect of service quality and service value on passenger satisfaction, to maintain passengers loyalty and to attract more passengers. This study analyzed the effect of service quality and service value on Suroboyo Bus passengers satisfaction. Data were collected from a random sample of 300 Suroboyo Bus passenger and was analyzed using Structural Equation Modelling. Results show that service quality has significant positive effects on the service value, and both the service quality and the service value have significant positive effects on the passenger satisfaction. The results as well indicate that service quality only explains up to 4.5% variance of service value, while service quality and service value explains up to 48.8% variance of passenger satisfaction. Additionally, Suroboyo Bus passenger satisfaction more affected by service value, than by service quality.
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10

Vukelić, Goran, Goran Vizentin, and Vlado Frančić. "Prospects for use of extended reality technology for ship passenger evacuation simulation." Pomorstvo 35, no. 1 (2021): 49–56. http://dx.doi.org/10.31217/p.35.1.6.

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Safety of passengers on ships is usually investigated based on data available from post-accident reports, experimental research and/or numerical modelling of emergencies. As for the numerical modelling, ship passenger evacuation falls within a greater set of pedestrian evacuation research in which extended reality (XR) technology is playing important role lately. However, XR still strives to find its place in the modelling of ship passenger evacuation. This paper brings review of literature published on the topic of XR in pedestrian evacuation with special focus on the use of these technologies (e.g. virtual reality, augmented reality) in shipping industry. Findings are put in the context of IMO’s guidelines for evacuation analysis and prospect for use of XR for ship passenger evacuation simulation are presented.
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