scholarly journals An Intercity Freight Mode Choice Model : A Case Study of High Speed Rail Link Northern Line Thailand (Bangkok – Chiangmai)

2020 ◽  
Vol 308 ◽  
pp. 04003
Author(s):  
Jessada Pochan ◽  
Wachira Wichitphongsa
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Selling Price ◽  
High Speed Rail ◽  
Time Frequency ◽  
Rail System ◽  
Loading And Unloading ◽  
Freight Mode Choice

This paper presents a model capturing the intercity freight mode choice behaviour in high-speed rail system from Bangkok to Chiangmai. The model is developed based on the stated preference data collected from 800 freight operators, wholesaler, retailer, and people. The results show that, when the high-speed rail system from Bangkok to Chiangmai are developing in the future, the suitable products for high-speed rail system are types of an express mail service (EMS), air cargo, gold, jewellery, gold accessories, computer circuit boards, high prices agricultural products such as fruit, and flowers. Most of determining the selling price will fluctuate with the speed of transport and damage impairment of the product. With the application of discrete choice models, the results show that, aside from travel cost and time, loading and unloading, delays time, frequency are statistically significant. The application of model indicated that the holder and freight forwarder which in the line of high-speed rail (Bangkok – Chiangmai) tend to use rail-transport such as double-track rail is 27.71%, high-speed rail is 11.18% and the most is trucks 56.51% which is a policy development point loading and unloading, multimodal transportation efficiency and safety of the portion of the freight high-speed rail increased.

On the Usefulness of a Combined Mode Choice-Schedule Choice Model: Case of the Paris–Bordeaux Rail Line (France)

2019 ◽  
Vol 2673 (4) ◽  
pp. 697-707
Author(s):  
Minghui Chen ◽  
Stéphanie Souche Le Corvec
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Mode Choice ◽  
Discrete Choice Models ◽  
Transport Infrastructure ◽  
Model Case ◽  
High Speed Rail ◽  
Schedule Delay ◽  
Early Arrival ◽  
Rail Line

The high-speed rail line (HSR) Ligne à Grande Vitesse Sud Europe Atlantique (LGV SEA) was inaugurated and put into operation on July 2, 2017. Since then, a decrease has been observed in air traffic and in air service frequency on the Paris–Bordeaux route. This paper examines the competition between HSR and air transportation services and the influence of this new transport infrastructure on passenger behavior. Using discrete choice models along with data from traveler surveys, an econometric analysis of traveler demand is conducted, dealing jointly with mode choice and schedule choice between Paris and Bordeaux. Results demonstrate that the variables specifically constructed to represent the schedule delay cost are significant, with late arrival generating relatively greater costs compared with early arrival. This model also makes it possible to evaluate the quality of transport timetable proposed by the transportation operators with the help of market share prediction.

A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts

1997 ◽  
Vol 31 (2) ◽  
pp. 99-120 ◽  
Author(s):  
Benedikt Mandel ◽  
Marc Gaudry ◽  
Werner Rothengatter
Keyword(s):  
High Speed ◽  
Choice Model ◽  
Mode Choice ◽  
High Speed Rail ◽  
Passenger Travel ◽  
Mode Choice Model ◽  
Demand Forecasts

A Stated preference freight mode choice model

2003 ◽  
Vol 26 (2) ◽  
pp. 1-1 ◽  
Author(s):  
O. Norojono ◽  
W. Young
Keyword(s):  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Mode Choice Model ◽  
Freight Mode Choice

scholarly journals Mode choice analysis using discrete choice model from transport user (Case study: Jakarta LRT, Indonesia)

2018 ◽  
Vol 181 ◽  
pp. 03001
Author(s):  
Dwi Novi Wulansari ◽  
Milla Dwi Astari
Keyword(s):  
Discrete Choice ◽  
Public Transportation ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Light Rail ◽  
Choice Analysis ◽  
Mode Choice Model

Jakarta Light Rail Transit (Jakarta LRT) has been planned to be built as one of mass rail-based public transportation system in DKI Jakarta. The objective of this paper is to obtain a mode choice models that can explain the probability of choosing Jakarta LRT, and to estimate the sensitivity of mode choice if the attribute changes. Analysis of the research conducted by using discrete choice models approach to the behavior of individuals. Choice modes were observed between 1) Jakarta LRT and TransJakarta Bus, 2) Jakarta LRT and KRL-Commuter Jabodetabek. Mode choice model used is the Binomial Logit Model. The research data obtained through Stated Preference (SP) techniques. The model using the attribute influences such as tariff, travel time, headway and walking time. The models obtained are reliable and validated. Based on the results of the analysis shows that the most sensitive attributes affect the mode choice model is the tariff.

Analyzing Intercity Modal Choice and Competition Between High Speed Rail (HSR) and Other Transport Modes in Indian Context

2016 ◽  
pp. 146-160
Author(s):  
Ashish Verma ◽  
Varun Raturi
Keyword(s):  
High Speed ◽  
Mode Choice ◽  
Transport Infrastructure ◽  
Infrastructure Investment ◽  
Theoretic Approach ◽  
Choice Modelling ◽  
Choice Behaviour ◽  
High Speed Rail ◽  
Game Theoretic ◽  
Game Theoretic Approach

In this study, a theoretical framework is developed in order to assess the viability of transport infrastructure investment in the form of High Speed Rail (HSR) by assessing, the mode choice behaviour of the passengers and the strategies of the operators, in the hypothetical scenario. Discrete choice modelling (DCM) integrated with a game theoretic approach is used to model this dynamic market scenario. DCM is incorporated to predict the mode choice behaviour of the passengers in the new scenario and the change in the existing market equilibrium and strategies of the operators due to the entry of the new mode is analysed using the game theoretic approach. The outcome of this market game will describe the strategies for operators corresponding to Nash equilibrium. In conclusion, the impact of introduction of HSR is assessed in terms of social welfare by analysing the mode choice behaviour and strategic decision making of the operators, thus reflecting on the economic viability of the transport infrastructure investment.

TQWT-assisted statistical process control method for condition monitoring and fault diagnosis of bearings in high-speed rail

2020 ◽  
pp. 1748006X2095832 ◽  
Author(s):  
Wei Fan ◽  
Hongtao Xue ◽  
Cai Yi ◽  
Zhenying Xu
Keyword(s):  
Fault Diagnosis ◽  
Condition Monitoring ◽  
High Speed ◽  
Control Method ◽  
Wavelet Coefficients ◽  
Frequency Method ◽  
Statistical Process ◽  
High Speed Rail ◽  
Distribution Method ◽  
Time Frequency

Condition monitoring and fault diagnosis of bearings in high-speed rail have attracted considerable attention in recent years, however, it’s still a hard work due to harsh environments with high speeds and high loads. A statistical condition monitoring and fault diagnosis method based on tunable Q-factor wavelet transform (TQWT) is developed in this study. The core idea of this method is that the TQWT can extract oscillatory behaviors of bearing faults. The vibration data under the normal condition are first decomposed by the TQWT into different wavelet coefficients. Two health indicators are then formulated by the dominant wavelet coefficients and the remaining coefficients for condition monitoring. The upper control limits are established using the one-sided confidence limit of the indicators by using the non-parametric bootstrap scheme. The Shewhart control charts on multiscale wavelet coefficients are constructed for fault diagnosis. We demonstrate the effectiveness of the proposed method by monitoring and diagnosing single and multiple railway axle bearing defects. Furthermore, the comparison studies show that the proposed method outperforms a traditional time-frequency method, the Wigner-Ville distribution method.

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