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
2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hong Chen ◽  
Zuo-xian Gan ◽  
Yu-ting He

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.


Author(s):  
Kornilia Maria Kotoula ◽  
George Botzoris ◽  
Georgia Aifantopoulou ◽  
Vassilios Profillidis

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.


2012 ◽  
Vol 253-255 ◽  
pp. 1345-1350
Author(s):  
Bin Shang ◽  
Xiao Ning Zhang

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.


2021 ◽  
pp. 1-18
Author(s):  
Jonas De Vos ◽  
Patrick A. Singleton ◽  
Tommy Gärling

2021 ◽  
Vol 106 ◽  
pp. 271-280
Author(s):  
Siliang Luan ◽  
Qingfang Yang ◽  
Zhongtai Jiang ◽  
Wei Wang

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