A Study on Travel Demand for High-Speed Train Based on Nested Logit Model

2013 ◽  
Vol 361-363 ◽  
pp. 2096-2099
Author(s):  
En Jian Yao ◽  
Qi Rong Yang ◽  
Yong Sheng Zhang ◽  
Hong Na Dai
Keyword(s):  
Logit Model ◽  
High Speed ◽  
Travel Demand ◽  
Stated Preference ◽  
Rapid Development ◽  
Nested Logit ◽  
High Speed Train ◽  
Long Distance ◽  
Stated Preference Data ◽  
Nested Structure

High speed train (HST) has received plenty of attention due to the characteristics of safety, quickness, convenience and better service in China over recent years. With consideration of rapid development of HST and intense competition between HST and other transport modes, it is essential to estimate the travel demand for HST. In this research, a disaggregate logit model is applied to estimate the travel demand for high-speed train based on stated preference data. Considering the independence of irrelevant alternatives attribute, a nested structure is chosen to these alternatives. Besides, both the service attributes of transport mode and passengers' attributes are taken into account when establishes model. The results obtained confirm that HST occupies a significant position in modes conpetition and have an important impact on air in middle and long distance market.

scholarly journals Modelling the Air Ticket Purchase Behavior Incorporating Latent Class Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jing Lu ◽  
Zheqing Wang ◽  
Yingjing Gu ◽  
Wenhui Yang
Keyword(s):  
Logit Model ◽  
Goodness Of Fit ◽  
Latent Class ◽  
Travel Demand ◽  
Stated Preference ◽  
Air Travel ◽  
Purchase Behavior ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Ticket Purchase

As passengers are proved to be preference heterogeneous in air travel, this paper tries to model the air ticket purchase behavior incorporating market segmentation. In the research, a latent-NL model, established on the latent class structure and the nested logit model, integrates the personal features as well as the purchase preferences into the forecast of segment-specific purchase probability. In order to calibrate the model, a stated preference survey is designed with the choice profiles using real service information, and the survey is conducted in four cities in China for data collection. The results show that the proposed model provides an effective approach for predicting the air travel demand in particular for air ticket pricing, and the estimation results outperforms the traditional-nested logit model with higher goodness-of-fit. Besides, the model is then adopted to test the efficiency of different pricing strategies, showing its advantages in improving the flight revenues.

scholarly journals Estimation of Travel Demand for Bangkok–Chiang Mai Hyperloop Using Traveler Surveys

2021 ◽  
Vol 13 (24) ◽  
pp. 14037
Author(s):  
Paras Agrawal ◽  
Surachet Pravinvongvuth
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Travel Demand ◽  
Stated Preference ◽  
Travel Cost ◽  
Monthly Income ◽  
Chiang Mai ◽  
Modal Shift ◽  
Long Distance ◽  
Total Travel Time

Hyperloop, projected as fast and efficient, and envisaged as the future of high-speed transportation, does not have much published information about its demand estimation. This paper aims to estimate the willingness of air and car passengers to shift to hyperloop. A nested logit model was used to analyze stated preference data gathered from the air and car travelers along the Bangkok–Chiang Mai sector in Thailand. The variables contributing the most to the modal shift towards hyperloop are total travel cost, total travel time, monthly income, gender, education level, bearer of trip expenses, and number of trips in the last 6 months and duration of stay at the destination. The highest value of elasticity for hyperloop is obtained for the total travel cost followed by total travel time and monthly income. It is concluded that hyperloop will be the predominant mode of transportation between the Bangkok–Chiang Mai sectors with a modal share of almost 50% by the year 2025. Survey results also revealed that the preferences of the passengers in order of priorities for long distance travel are comfort, low travel cost, less travel time, safety, high frequency of travel mode and low CO2 emission. The main contribution of this paper is to provide an insight on factors that may contribute towards a possible shift in mode from car and air to hyperloop. The study will be beneficial to policy makers in developing a strategy for a more efficient mass transportation system using new and emerging technologies.

A copula-based continuous cross-nested logit model for tour scheduling in activity-based travel demand models

2021 ◽  
Vol 145 ◽  
pp. 324-341
Author(s):  
Sepehr Ghader ◽  
Carlos Carrion ◽  
Liang Tang ◽  
Arash Asadabadi ◽  
Lei Zhang
Keyword(s):  
Logit Model ◽  
Travel Demand ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Demand Models ◽  
Tour Scheduling

The Vibration Response Analysis about High-Speed Train’s Braking Wing

2012 ◽  
Vol 226-228 ◽  
pp. 102-105
Author(s):  
Wen Qing Zhu ◽  
Yang Yong Zhu
Keyword(s):  
Finite Element ◽  
High Speed ◽  
Rapid Development ◽  
Response Analysis ◽  
High Speed Train ◽  
High Speed Railway ◽  
Emergency Braking ◽  
Finite Element Software ◽  
High Speed Trains ◽  
Aerodynamic Brake

With the rapid development of high-speed railway in China, the aerodynamic brake is very likely to be an important emergency braking mode of high-speed train in the future. This paper takes aerodynamic braking wing as the object, and uses the finite element software to divide the meshes, then analyses the model influenced by static stress. After simulating the vibratory frequency response of the model in the flow field, it finds that the largest deformation happens in the middle of the upper edge of the wind wing, when the wind speed gets to 500km/h and the load frequency to 4Hz. Some conclusions of this thesis can provide reference for researching the applying the aerodynamic brake in the high-speed trains and laying the foundation for solving the riding and braking safety problems.

Key Issues on Train Line Planning for Beijing-Shanghai High Speed Railway

2010 ◽  
Author(s):  
L. Nie ◽  
D. B. Fei ◽  
S. D. Zhou ◽  
H. L. Fu ◽  
L. Tong
Keyword(s):  
High Frequency ◽  
High Speed ◽  
Travel Demand ◽  
Time Window ◽  
Long Distance ◽  
Line Planning ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Train Operation ◽  
Service Plan

The Beijing-Shanghai High speed railway line (Hereinafter referred to as “Jing-Hu HSL”) is one of the most important railway lines in the Chinese rapid passenger transportation network and will be put into operation at the end of 2011. Train line planning directly reflects the quality and competition ability of train services. The characteristics of operational conditions and passenger flow of this corridor HSL bring about a few new issues on train line planning like night train operation, train OD sets, cyclic operation, and train stop schedule. For the first issue, a large amount of long distance travel demand put forward the demand for night services, which causes great conflict with the time-window for maintenance work. The confliction can be solved by harmoniously utilizing the parallel lines. For the second one, in view of the differences of technical and economic factors between HSL and conventional railways, high frequency and medium-long distance train will dominate HSL’s train service plan rather than low frequency and long distance trains on conventional railways. Thus, part of long-distance passenger flow has to transfer at some stations. Considering the whole possible ODs over Jing-Hu HSL and the transfer condition of related stations, the optimal OD sets and corresponding transfer plan is suggested. High frequency makes HSL possible to operate trains cyclically to improve service quality. However, with too many train ODs and some special trains, e.g. night train, an incomplete cyclic train operation mode is more practical. The ODs which can provide cyclic service for Jing-Hu HSL need to be identified. For the last issue, although non-stop long-distance train is a very popular kind of service in China, it should be reconsidered for Jing-Hu HSL line because of massive intercity travel demand and regular stops required. Each of the above issues is very complex. What is more, they have close relationship between each other. Due to limited space, the methods used to solve these issues are given in conceptual way rather than detailed description of mathematical model. The research paves the way for future integration study to design an efficient, economic, convenient, and regular train service plan for Jing-Hu HSL.

scholarly journals Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

2019 ◽  
Vol 11 (3) ◽  
pp. 808 ◽  
Author(s):  
Irfan Ullah ◽  
Kai Liu ◽  
Tran Vanduy
Keyword(s):  
Traffic Congestion ◽  
Logit Model ◽  
Urban Areas ◽  
Stated Preference ◽  
Ghg Emissions ◽  
Multinomial Logit Model ◽  
Demographic Characteristics ◽  
Car Ownership ◽  
Nested Logit ◽  
Car Sharing

In recent years, car sharing has emerged as a novel alternative to private car ownership in urban areas worldwide. Potential benefits of this system include improved mobility and reduced congestion, vehicle ownership, parking issues, and greenhouse gas (GHG) emissions. This study aimed to investigate travelers’ acceptance of car sharing systems through a stated preference survey in the city of Peshawar, Pakistan. The questionnaires were distributed online via a Google form. Questions were designed from numerous aspects of car sharing systems, such as awareness of car sharing systems, attributes related to travel modes in the choice set, and demographic characteristics. A total of 453 valid responses were received. The Multinomial and Nested Logit models were employed for evaluation and analysis of survey responses. Demographic characteristics including gender, job, and income were found to be significant. Service attributes including travel time, travel cost, registration fees, and capital cost, were also significant. The multinomial logit model based on both car-owners and non-car-owners fit a little better than the nested logit model. Our findings in the present study could be beneficial for transport planners and policy makers to timely implement car sharing systems in cities in order to mitigate increased car ownership and traffic congestion.

Perceived Value of Time for Truck Operators

2000 ◽  
Vol 1725 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Kazuya Kawamura
Keyword(s):  
Travel Time ◽  
Cost Estimation ◽  
Logit Model ◽  
Stated Preference ◽  
Perceived Value ◽  
Value Of Time ◽  
Data Sets ◽  
Preference Data ◽  
Stated Preference Data ◽  
Population Comparisons

Value of time for trucks was estimated from stated preference data collected in California. Truckers were asked about a choice between an existing free road versus a toll facility for different combinations of travel time and cost. Estimation was based on the point of diversion at which the switch of facility occurred in the stated preference questions and also on the use of a modified logit model in which the coefficients to be estimated were assumed to be distributed lognormally across the population. Comparisons between data sets that were segmented according to business type, shipment size, and the method of driver compensation indicated that for-hire trucks tend to have higher values of time than private ones and the companies that pay drivers hourly wages have higher values of time than those who pay commissions or fixed salary.

Sign in / Sign up

Export Citation Format

Share Document