Effects of accessibility to the transit stations on intercity travel mode choices in contexts of high speed rail in the Windsor–Quebec corridor in Canada

2015 ◽  
Vol 42 (11) ◽  
pp. 930-939 ◽  
Author(s):  
Billy Wong ◽  
Khandker M. Nurul Habib
Keyword(s):  
Social Media ◽  
Data Collection ◽  
High Speed ◽  
Choice Model ◽  
High Speed Rail ◽  
Travel Mode ◽  
Web Based ◽  
Intercity Travel ◽  
Transit Station ◽  
Data Collection Approach

Main objective of this paper is investigating the role of transit station accessibility on intercity travel mode choices in contexts of a proposed High Speed Rail. The study area is the Quebec–Windsor corridor, which is the most important corridor in Canada and one of the most important corridors in North America. A web-based joint revealed preference – stated preference survey is used to collect data for empirical investigation. To contribute further to travel survey methods, an innovative social media based data collection approach is taken. As opposed to explicit sample frame-based sample selection approach, it applies a reverse procedure of open sample frame-based data collection. The web-based survey is spread through social media groups (that are open in sense that information of all individuals are not known explicitly) and the collected responses are screened to match with population distributions. Results prove the potential of such data collection approach in extracting representative samples of the population of concern. The collected dataset, which has close representation of the population, is used to estimate discrete mode choice model (Nested Logit model) of intercity mode choices. Empirical model reveals that intercity travellers are more concerned about access to and egress from transit stations than the main in-vehicle travel while selecting intercity travel modes. The result of this investigate imply that transit station accessibility should be given careful consideration for the success of any innovative travel mode, e.g., high speed rail.

scholarly journals Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland

2021 ◽  
pp. 1-16
Author(s):  
Junfang Gong ◽  
Shengwen Li ◽  
Xinyue Ye ◽  
Qiong Peng ◽  
Sonali Kudva
Keyword(s):  
Social Media ◽  
High Speed ◽  
High Speed Rail

scholarly journals Influence of Weather Conditions on the Intercity Travel Mode Choice: A Case of Xi’an

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiaowei Li ◽  
Qiangqiang Ma ◽  
Wenbo Wang ◽  
Baojie Wang
Keyword(s):  
High Speed ◽  
Mode Choice ◽  
Mode Selection ◽  
Weather Conditions ◽  
Individual Characteristics ◽  
Activity Data ◽  
Travel Mode ◽  
Intercity Travel ◽  
Travel Mode Choice ◽  
Weather Characteristics

To explore the influence of weather conditions on the choice of the intercity travel mode of travelers, four modes of traveler transportation were studied in Xi'an, China, in March 2019: airplane, high-speed rail, conventional train, and express bus. The individual characteristics of travelers and intercity travel activity data were obtained, and they were matched with the weather characteristics at the departure time of the travelers. The Bayesian multinomial logit regression was employed to explore the relationship between the travel mode choice and weather characteristics. The results showed that temperature, relative humidity, rainfall, wind, air quality index, and visibility had significant effects on the travel mode selection of travelers, and the addition of these variables could improve the model’s predictive performance. The research results can provide a scientific decision basis for traveler flow transfer and the prediction of traffic modes choice due to the effects of climate change.

scholarly journals Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Xiaowei Li ◽  
Yuting Wang ◽  
Yao Wu ◽  
Jun Chen ◽  
Jibiao Zhou
Keyword(s):  
Comparative Analysis ◽  
High Speed ◽  
Predictive Accuracy ◽  
Predictive Performance ◽  
Multinomial Logit ◽  
Neural Network Models ◽  
Activity Data ◽  
Travel Mode ◽  
Intercity Travel ◽  
Artificial Neural

This study conducts a comprehensive comparative analysis of regression-based multinomial models and artificial neural network models in intercity travel mode choices. The four intercity travel modes of airplane, high-speed rail (HSR), train, and express bus were used for analysis. Passengers’ activity data over the process of intercity travel were collected to develop the models. The standard multinomial logit (MNL) regression and Bayesian multinomial logit (BMNL) regression were compared with the radial basis function (RBF) and multilayer perceptron (MLP). The results show that MLP performs best in terms of predictive accuracy, followed by BMNL and MNL, and RBF is the least accurate. The performances of all models were examined against changes in data balance, and it was found that rebalancing can improve fitting performance while slightly reducing the predictive performance. This comparative study and its parameter estimation shed new light on the comparison of traditional and emerging models in travel behavior studies, and the findings can be used as heuristic guidance for all stakeholders.

scholarly journals Effects of High-Speed Rail on Sustainable Development of Urban Tourism: Evidence from Discrete Choice Model of Chinese Tourists’ Preference for City Destinations

2021 ◽  
Vol 13 (19) ◽  
pp. 10647
Author(s):  
Weiwei Zhang ◽  
Lingling Jiang
Keyword(s):  
Sustainable Development ◽  
Discrete Choice ◽  
High Speed ◽  
Choice Model ◽  
Discrete Choice Model ◽  
Urban Tourism ◽  
Spatial Distance ◽  
Diffusion Effect ◽  
High Speed Rail ◽  
Factors Affecting

In China, the opening of high-speed rails (HSR) brings significant changes to the source-destination spatial distance, the accessibility of destinations, and the spatial structure of tourist flows in each region, exerting varied HSR effects on different types of cities. Against this backdrop, it is meaningful to deeply explore tourists’ preference for city destinations in the light of HSR effects. The exploration could contribute greatly to the planning, marketing, management, and sustainable development of urban tourism. This paper takes Xiangtan and Yueyang as typical cases of the diffusion effect and the corridor effect of HSR. Firstly, the factors affecting destination choice were identified, and the attribute levels were configured, forming multiple virtual alternatives. Next, questionnaire surveys were carried out to collect tourists’ selections between each pair of alternatives. Further, a discrete choice model was constructed to assign a weight to each factor, reflecting its importance to tourists’ decision-making regarding their destination selection and to disclose the law of tourists’ preferences for destinations. The results showed that (1) Under the HSR diffusion effect, the top three factors affecting tourists’ preference for destinations in Xiangtan are convenience, connection time, and popularity; under HSR corridor effect, the top three factors affecting the tourists’ preference for destinations in Yueyang are reputation, convenience, and leisure and reception facilities (LRFs). (2) The destination preference is closely associated with personal features like gender, income, occupation, and fellow travelers. Tourists with different personal features give different attention to the various influencing factors. The research findings provide a reference for the sustainable development of urban tourism.

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.

scholarly journals The Implication of Road Toll Discount for Mode Choice: Intercity Travel during the Chinese Spring Festival Holiday

2018 ◽  
Vol 10 (8) ◽  
pp. 2700 ◽  
Author(s):  
Xiaomei Lin ◽  
Yusak Susilo ◽  
Chunfu Shao ◽  
Chengxi Liu
Keyword(s):  
Chinese Spring ◽  
High Speed ◽  
Public Transit ◽  
Mode Choice ◽  
Mixed Logit ◽  
Negative Effects ◽  
High Speed Rail ◽  
The Public ◽  
Spring Festival ◽  
Intercity Travel

Intercity travel congestion during the main national holidays takes place every year at different places around the world. Charge reduction measurements on existing toll roads have been implemented to promote an efficient use of the expressways and to reduce congestion on the public transit networks. However, some of these policies have had negative effects. A more comprehensive understanding of the determinants of holiday intercity travel patterns is critical for better policymaking. This paper aims to investigate the effectiveness of the road toll discount policy on mode choice behavior for intercity travel. A mixed logit model is developed to model the mode choices of intercity travelers, which is estimated based on survey data about intercity journeys from Beijing during the 2017 Chinese Spring Festival holiday. The policy impact is further discussed by elasticity and scenario simulations. The results indicate that the expressway toll discount does increase the car use and decrease the public transit usage. Given the decreased toll on expressways, the demand tends to shift from car to public transit, in an order of coach, high-speed rail, conventional rail, and airplane. When it comes to its effect on socio-demographic groups, men and lower-income travelers are identified to be more likely to change mode in response to variation of road toll. Finally, policy effectiveness is found to vary for travelers in different travel distance groups. Conclusions provide useful insights on road pricing management.

Intermodal Connection of High-Speed Rail with Interregional Bus Services in Japan

2020 ◽  
Vol 2674 (11) ◽  
pp. 674-684
Author(s):  
Ryosuke Yashiro ◽  
Hironori Kato
Keyword(s):  
Rural Areas ◽  
High Speed ◽  
Travel Demand ◽  
Choice Model ◽  
Market Potential ◽  
Intermodal Transportation ◽  
High Speed Rail ◽  
Transportation Service ◽  
Bus Service ◽  
Bus Services

An intermodal transportation service consisting of high-speed rail (HSR) and an interregional bus service is one policy option for rural areas where interregional travel demand is too low to justify the construction of HSR. This study reviews current interregional bus services connecting with interregional rail, particularly HSR, in Japan, and analyzes the market potential for improving intermodal transportation by integrating HSR with an interregional bus service. It reviews the current interregional transportation network and related travel demand, including for air, rail, and bus. It also analyzes the connectivity of rail+bus intermodal transportation. The analysis showed poor connectivity of HSR and interregional bus services in Japan. Next, an interregional travel mode choice model is estimated with a nested-logit model using data from the Interregional Travel Survey 2010. Then, origin–destination pairs constituting the potential travel demand of the rail+bus option are identified using simple market analysis. This revealed that origin–destination pairs connecting prefectural cities along the Tohoku Shinkansen (HSR) with Kofu City could gain modal shift from other travel modes to rail+bus through improvement in the connection or introduction of a new interregional bus service connected with HSR. Expected changes in modal shares for rail+bus are estimated through a case study where a connection at the HSR station is hypothetically improved by a newly introduced interregional bus service. This suggests that improvements in connectivity at the HSR station could encourage the intermodal transportation service of rail+bus, even for areas not connected with the HSR network.

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