Factors Affecting Travel Mode Choice between High-speed Railway and Air Transportation among University Students for Tourism - Evidence from China

2020 ◽  
pp. 1-15
Author(s):  
Jing Shi ◽  
Muhammad Hussain ◽  
Xiang Pei Kong
Keyword(s):  
University Students ◽  
High Speed ◽  
Mode Choice ◽  
Air Transportation ◽  
High Speed Railway ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Mode Choice

scholarly journals Choice Model and Influencing Factor Analysis of Travel Mode for Migrant Workers: Case Study in Xi’an, China

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hong Chen ◽  
Zuo-xian Gan ◽  
Yu-ting He
Keyword(s):  
Influencing Factors ◽  
Migrant Workers ◽  
Choice Model ◽  
Mode Choice ◽  
Influencing Factor ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Choice ◽  
Travel Mode Choice ◽  
Set Up

Based on the basic theory and methods of disaggregate choice model, the influencing factors in travel mode choice for migrant workers are analyzed, according to 1366 data samples of Xi’an migrant workers. Walking, bus, subway, and taxi are taken as the alternative parts of travel modes for migrant workers, and a multinomial logit (MNL) model of travel mode for migrant workers is set up. The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all greater than 80%. Finally, the influence of different factors affecting the choice of travel mode is analyzed in detail, and the inelasticity of each factor is analyzed with the elasticity theory. Influencing factors such as age, education level, and monthly gross income have significant impact on travel choice mode for migrant workers. The elasticity values of education degree are greater than 1, indicating that it on the travel mode choice is of elasticity, while the elasticity values of gender, industry distribution, and travel purpose are less than 1, indicating that these factors on travel mode choice are of inelasticity.

scholarly journals Analysis on Psychological Factors Affecting the Intention of Participating in ‘Eco-Travel Point’ Program and the Behavior of Travel Mode Choice

2006 ◽  
Vol 23 ◽  
pp. 575-583
Author(s):  
Shinya KURAUCHI ◽  
Takatoshi NAGASE ◽  
Takayuki MORIKAWA ◽  
Toshiyuki YAMAMOTO ◽  
Hitomi SATO
Keyword(s):  
Psychological Factors ◽  
Mode Choice ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Mode Choice

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 Exploring the Factors Influencing Parental Choices on School Trips

2021 ◽  
Author(s):  
Kornilia Maria Kotoula ◽  
George Botzoris ◽  
Georgia Aifantopoulou ◽  
Vassilios Profillidis
Keyword(s):  
Decision Process ◽  
Travel Demand ◽  
Mode Choice ◽  
Travel Mode ◽  
Greek City ◽  
Factors Affecting ◽  
Travel Mode Choice ◽  
Choice Decision ◽  
Transport Modes ◽  
Behavioural Aspects

Within the last decades, the examination and definition of factors affecting the mode choice decision on school trips has gained much of attention, as the completion of such trips represent a vast percentage of total travel demand. Key players of the decision process are students' parents, deciding how their children will complete everyday trips from their residence to the school unit and vice versa. The current study examines the factors affecting parents' travel mode choice for school trips of both primary and high school students in Thessaloniki city, Greece. Data collected is based on a questionnaire survey in which, 512 parents participated, stating their perception regarding the use of several transport modes for school trips and the motives behind specific adopted travel behavioural aspects. Three main topics are examined and analysed related to the parents' attitudes and their travel habits in the choice of motorized and non-motorized transport modes, the parents' perception regarding the built environment safety, and the parents' perception regarding specific parameters which appear to motivate them in the mode choice decision process. For the research analysis, a number of statistical methods and techniques are deployed, starting with descriptive statistical and Pearson's correlation analysis and proceeding with the exploratory and confirmatory factor analysis. The results verify initial thoughts for critical factors which appear to affect parents' choices regarding their children’s school trips while they also gives an initial picture of parents' experiences regarding the school travel mode choice, in an urban environment of a typical Greek city.

scholarly journals A Nested Ensemble Approach with ANNs to Investigate the Effect of Socioeconomic Attributes on Active Commuting of University Students

2020 ◽  
Vol 17 (10) ◽  
pp. 3549
Author(s):  
Khaled Assi ◽  
Uneb Gazder ◽  
Ibrahim Al-Sghan ◽  
Imran Reza ◽  
Abdullah Almubarak
Keyword(s):  
Graduate Students ◽  
University Students ◽  
Choice Behavior ◽  
Mode Choice ◽  
Faculty Members ◽  
Active Commuting ◽  
Travel Mode ◽  
Socioeconomic Characteristics ◽  
Ensemble Approach ◽  
Travel Mode Choice

Analysis of travel mode choice is vital in policymaking and transportation planning to comprehend and forecast travel demands. Universities resemble major trip attraction hubs, with many students and faculty members living on campus or nearby. This study aims to investigate the effects of socioeconomic characteristics on the travel mode choice of university students. A nested ensemble approach with artificial neural networks (ANNs) was used to model the mode choice behavior. It was found that students generally prefer motorized modes (bus and car). A more detailed analysis revealed that teenage students (aged 17–19 years) had an approximately equal probability of selecting motorized and non-motorized modes. Graduate students revealed a higher tendency to select motorized modes compared with other students. The findings of this study demonstrate the need to promote non-motorized modes of transport among students, which is possible by providing favorable infrastructure for these modes.

Study of Travel Mode Choice Behavior Based on Nested Logit Model

2012 ◽  
Vol 253-255 ◽  
pp. 1345-1350
Author(s):  
Bin Shang ◽  
Xiao Ning Zhang
Keyword(s):  
Choice Behavior ◽  
Likelihood Function ◽  
Stated Preference ◽  
Mode Choice ◽  
Estimation Method ◽  
Simultaneous Estimation ◽  
Nested Logit ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Mode Choice

Not only multinomial logit (ML) model is usually used in the analysis of travel mode split, but also nested logit (NL) with the method of phased estimation is used. NL model was developed in the paper which used the simultaneous estimation method to analyze travel mode choice behavior on the basis of the basic theory of disaggregate model and data of stated preference survey (SP). In the course of estimating the parameters, the multi-constrained optimization function in optimal tool of MATLAB was used to solve the maximum likelihood function. Using this method, the parameters of model could be calibrated at the same time. The hit ratios are also accurate. It is found that the NL model approach can consider more factors affecting the travel mode choice of residents, improve the prediction accuracy of model and practicality.

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