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 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

Toward More Sustainable Behavior: A Systematic Review of the Impacts of Involuntary Workplace Relocation on Travel Mode Choice

2018 ◽  
Vol 34 (1) ◽  
pp. 38-58 ◽  
Author(s):  
Z. Zarabi ◽  
S. Lord
Keyword(s):  
Systematic Review ◽  
Travel Behavior ◽  
Mode Choice ◽  
Travel Mode ◽  
Travel Mode Choice ◽  
Home Work ◽  
Habitual Behavior ◽  
Sustainable Behavior ◽  
Transport Modes ◽  
Daily Travel

Daily home–work travel is a habitual behavior that can be disrupted when the location of work, as one of the behavioral contexts, changes. It is then likely that individuals will reconsider their travel behavior more intentionally and choose alternative transport modes. To identify motivations and barriers to incorporating the use of sustainable modes into the individual’s daily travel, this article systematically reviews the literature on the impacts of involuntary workplace relocation on commuting behavior. Effective measures that incentivize sustainable commuting behavior are also discussed. This study on involuntary workplace relocation informs considerations of changes in travel behavior related to other contextual changes.

scholarly journals Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Eui-Jin Kim
Keyword(s):  
Machine Learning ◽  
Choice Behavior ◽  
Travel Demand ◽  
Mode Choice ◽  
Variable Importance ◽  
Choice Modeling ◽  
Travel Mode ◽  
Extreme Gradient Boosting ◽  
Travel Mode Choice ◽  
Mode Choice Modeling

Understanding choice behavior regarding travel mode is essential in forecasting travel demand. Machine learning (ML) approaches have been proposed to model mode choice behavior, and their usefulness for predicting performance has been reported. However, due to the black-box nature of ML, it is difficult to determine a suitable explanation for the relationship between the input and output variables. This paper proposes an interpretable ML approach to improve the interpretability (i.e., the degree of understanding the cause of decisions) of ML concerning travel mode choice modeling. This approach applied to national household travel survey data in Seoul. First, extreme gradient boosting (XGB) was applied to travel mode choice modeling, and the XGB outperformed the other ML models. Variable importance, variable interaction, and accumulated local effects (ALE) were measured to interpret the prediction of the best-performing XGB. The results of variable importance and interaction indicated that the correlated trip- and tour-related variables significantly influence predicting travel mode choice by the main and cross effects between them. Age and number of trips on tour were also shown to be an important variable in choosing travel mode. ALE measured the main effect of variables that have a nonlinear relation to choice probability, which cannot be observed in the conventional multinomial logit model. This information can provide interesting behavioral insights on urban mobility.

scholarly journals Mode choice behaviour of students, integrating residential location characteristics: a study from Kochi City, India

2020 ◽  
Vol 79 (ET.2020) ◽  
pp. 1-17
Author(s):  
M.G. Krishnapriya
Keyword(s):  
Travel Demand ◽  
Mode Choice ◽  
Residential Location ◽  
Travel Behaviour ◽  
Vital Role ◽  
Choice Behaviour ◽  
Factors Affecting ◽  
Choice Decision ◽  
Working Day ◽  
Behaviour Models

Mode choice decision of individuals plays a vital role in transportation planning. Individual travel behaviour models can be improved by extending the set of influencing variables used for modelling. In a developing country like India, students contribute a major share of total travel demand especially during morning and evening peak hours of traffic; whose individual travel characteristics are very less studied by transportation professionals. This paper presents exploratory and statistical analysis of mode choice behaviour of students in Kochi City, India. The socio-demographic characteristics, activity-travel behaviour as well as residential location characteristics of students during a usual working day is collected using activity-travel survey data, in Kochi Municipal Corporation. Preliminary analysis gives details on daily activity-travel pattern, mode choice preferences and other particulars of commuters in the study area. Statistical models were developed for understanding the factors affecting mode choice decision and separate mode choice models are also developed for different categories of students. Simulation of choice probabilities over different attributes is also done to identify the potential policy variables that can promote the use of sustainable 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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