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 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 THE ACCESSIBILITY OF EUROPEAN REGIONS AND AIRPORT NETWORK

2015 ◽  
Vol 6 (2) ◽  
pp. 87-109 ◽  
Author(s):  
Renato Redondi ◽  
Paolo Malighetti ◽  
Stefano Paleari
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Waiting Times ◽  
Weighted Average ◽  
Air Transport ◽  
High Speed Train ◽  
Territorial Unit ◽  
Average Travel Time ◽  
Direct Flight ◽  
Total Travel Time

The objective of this work is to evaluate the accessibility of European municipalities by air transport. We focus on travels that typically require the use of air transport by computing the quickest paths between any pair of municipalities separated by more than 500 km. The total travel time includes three components: i) travel by car or High Speed Train to reach the origin airport, ii) travel by air from the origin airport to the destination airport, including waiting times when no direct flight is available and iii) travel by car or High Speed Train from the destination airport to the municipality of destination. For each territorial unit, we calculate the population-weighted average travel time to reach any other municipality in Europe.

scholarly journals Combinatorial Optimization of Service Order and Overtaking for Demand-Oriented Timetabling in a Single Railway Line

2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Dewei Li ◽  
Shishun Ding ◽  
Yizhen Wang
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Cost Benefit ◽  
Theory And Practice ◽  
Mixed Integer ◽  
High Speed Rail ◽  
Railway Line ◽  
Integer Quadratic Programming ◽  
Total Travel Time ◽  
Mixed Integer Quadratic Programming

Train timetabling is crucial for passenger railway operation. Demand-oriented train timetable optimization by minimizing travel time plays an important role in both theory and practice. Most of the current researches of demand-oriented timetable models assume an idealized situation in which the service order is fixed and in which zero overtaking exists between trains. In order to extend the literature, this paper discusses the combinatorial effect of service order and overtaking by developing four mixed-integer quadratic programming timetabling models with different service order as well as overtaking conditions. With the objective of minimizing passengers’ waiting time and in-vehicle time, the models take five aspects as constraints, namely dwell time, running time, safety interval, overtaking, and capacity. All four models are solved by ILOG CPLEX; and the results, which are based on Shanghai-Hangzhou intercity high-speed rail data, show that either allowing overtaking or changing service order can effectively optimize the quality of timetable with respect to reducing the total passengers’ travel time. Although optimizing train overtaking and service order simultaneously can optimize the timetable more significantly, compared to overtaking, allowing the change of service order can help passengers save total travel time without extending the train travel time. Moreover, considering the computation effort, satisfying both of the conditions in the meantime, when optimizing timetable has not got a good cost benefit.

scholarly journals Optimal High-Speed Railway Timetable by Stop Schedule Adjustment for Energy-Saving

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dingjun Chen ◽  
Sihan Li ◽  
Junjie Li ◽  
Shaoquan Ni ◽  
Xiaolong Liu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Travel Time ◽  
High Speed ◽  
Optimization Techniques ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Running Time ◽  
Total Travel Time ◽  
Timetable Optimization

Timetable optimization techniques offer opportunity for saving energy and hence reducing operational costs for high-speed rail services. The existing energy-saving timetable optimization is mainly concentrated on the train running state adjustment and the running time redistribution between two stations. Not only the adjustment space of timetables is limited, but also it is hard for the train to reach the optimized running state in reality, and it is difficult to get feasible timetable with running time redistribution between two stations for energy-saving. This paper presents a high-speed railway energy-saving timetable based on stop schedule optimization. Under the constraints of safety interval and stop rate, with the objective of minimizing the increasing energy consumption of train stops and the shortest travel time of trains, the high-speed railway energy-saving timetable optimization model is established. The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. The results show that the total operating energy consumption of the train is reduced by 3.7%, and the total travel time of the train is reduced by 11 minutes.

scholarly journals Evaluation of Evacuation Strategies According to the Travel Demand: The Case of Nuclear Research Reactor HANARO’s EPZ

2020 ◽  
Vol 12 (15) ◽  
pp. 6128
Author(s):  
Bongseok Kim ◽  
Hyeonmyeong Jeon ◽  
Bongsoo Son
Keyword(s):  
Travel Time ◽  
Research Reactor ◽  
Travel Demand ◽  
Protective Action ◽  
Nuclear Research ◽  
Emergency Plan ◽  
The Public ◽  
Nuclear Research Reactor ◽  
Total Travel Time ◽  
The Republic

In the event of a nuclear accident, evacuation is the most effective protective action for the public. During the evacuation, total travel time is a key measure to protect the public because it is directly related to the public’s radiation exposure. Thus, strategies that reduce the total travel time are needed for a safer nuclear emergency plan. Many studies on evacuation strategies so far have suggested the methodology of effective routing decisions or delay management. Despite the application of those strategies during evacuation, the effectiveness of those strategies, in reality, varies depending on the level of travel demand. In this study, evacuation strategies based on travel demand levels were evaluated based on the case of the Emergency Planning Zone (EPZ) of HANARO, the nuclear research reactor in the Republic of Korea. As a result, it was confirmed that effective evacuation strategies could be applied differently according to travel demand levels.

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.

Spatial Impacts of High-Speed Railways in China: A Total-Travel-Time Approach

2013 ◽  
Vol 45 (9) ◽  
pp. 2261-2280 ◽  
Author(s):  
James Jixian Wang ◽  
Jiang Xu ◽  
Jianfeng He
Keyword(s):  
Travel Time ◽  
High Speed ◽  
Total Travel Time ◽  
Spatial Impacts

scholarly journals Social Exclusion and High-Speed Railways: Evidence from China

2021 ◽  
Vol 15 (1) ◽  
pp. 133-146
Author(s):  
Labib Azzouz ◽  
Anson Jack
Keyword(s):  
Social Exclusion ◽  
High Speed ◽  
Online Survey ◽  
Stated Preference ◽  
Revealed Preference ◽  
The Elderly ◽  
Modal Shift ◽  
Policy Interventions ◽  
Economic Exclusion ◽  
The Relationship

Background: Despite their economic, social, and environmental advantages, HSRs are associated with some negative social impacts and controversy about their equitability. Gap: Very few studies have explored the relationship between HSR and social exclusion. Aims: This paper examines the relationship between HSR and social exclusion, and it focuses on China as a case study. Objectives: The objectives of the study are as follows; to identify the most important and favourable factors for choosing HSR from passengers' perspective; to reveal issues and reasons that inhibit passengers from using HSR and limit their accessibility to the service, and to propose some solutions and interventions. Methods: The study utilizes an online survey comprising a set of stated preference and revealed preference questions. A total of 3655 responses were collected, of which 3353 responses were complete and useful. Results: A key finding is that comfort is proven to be the most favourable factor for using HSR, followed by travel time and reliability. Another finding is that the economic exclusion followed by the geographical exclusion is prevailing across different age and monthly income groups of non-HSR users. Those who have the lowest income and the elderly experience the strongest levels of economic exclusion. Moreover, physical, time-based, and fear-based exclusions are also notable. Conclusion: To create a modal shift from other modes to HSR and allow more groups to access the service, HSR should be competitive in terms of affordability and accessibility. Possible solutions and policy interventions that may help to tackle categories of social exclusion in China are presented.

Designing Limited-Stop Transit Service with Fixed Fleet Size in Peak Hours by Exploiting Transit Data

2017 ◽  
Vol 2647 (1) ◽  
pp. 134-141
Author(s):  
Xiaoling Luo ◽  
Yangsheng Jiang ◽  
Zhihong Yao ◽  
Youhua Tang ◽  
Yuan Liu
Keyword(s):  
Travel Time ◽  
Heuristic Algorithm ◽  
Travel Demand ◽  
Fleet Size ◽  
Transit Service ◽  
User Costs ◽  
Passenger Flow ◽  
Line Structure ◽  
Total Travel Time ◽  
Travel Behaviors

Efficiently designed limited-stop transit service is an attractive way to respond to high commuter travel demand in which trips concentrate on a few origin–destination pairs during peak hours. Such service is redesigned in many metropolises in China. Some research has dealt with this situation; bus fleet size was assumed to be unlimited, and the research was concerned with the average daily passenger flow rather than the specific average peak hour travel demand. In contrast to previous work, this paper presents an approach to design limited-stop transit service with the existing available fleet size from current normal service and focuses only on peak hour travel demand extracted through exploitation of transit data. First, a model for limited-stop service was proposed to minimize user costs through existing fixed fleet size. A heuristic algorithm was developed to search the transit line structure for limited-stop service instead of selecting lines from the predefined set. Next, a case in Chengdu, China, was tested. The results indicate that up to 9.32% of total travel time can be saved with the fixed fleet size when limited-stop transit service is applied. Finally, different proportions of commuter flow and different travel behaviors are discussed to illustrate the performance of limited-stop service for different scenarios.

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