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An exploratory analysis of factors that encourage students to choose sustainable modes in travelling to schools: evidence from Victoria, Australia
16 references·1 citing·38 second hop
An exploratory analysis of factors that encourage students to choose sustainable modes in travelling to schools: evidence from Victoria, Australia (2023)An exploratory analysis of factors that e…Statistical and Econometric Methods for Transportation Data Analysis (2020)Statistical and Econometric M…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…A systematic review of machine learning classification methodologies for modelling passenger mode choice (2020)A systematic review of machin…Simulation error in maximum likelihood estimation of discrete choice models (2019)Simulation error in maximum l…Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling (2018)Comparison of Four Types of A…Applying a random forest method approach to model travel mode choice behavior (2018)Applying a random forest meth…School travel mode choice in Beijing, China (2017)School travel mode choice in …A comparative study of machine learning classifiers for modeling travel mode choice (2017)A comparative study of machin…Public transportation and sustainability: A review (2016)Public transportation and sus…Independent mobility on the journey to school: A joint cross-sectional and prospective exploration of social and physical environmental influences (2014)Independent mobility on the j…Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students (2012)Sustainable commute in a car-…Trends in Australian children traveling to school 1971–2003: Burning petrol or carbohydrates? (2007)Trends in Australian children…Promoting walking and cycling as an alternative to using cars: systematic review (2004)Promoting walking and cycling…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …Mixed MNL models for discrete response (2000)Mixed MNL models for discrete…Econometric Models of Probabilistic Choice (1981)Econometric Models of Probabi…Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry (2025)Application of Artificial Neu…Physical Activity Levels of Children Who Walk, Cycle, or Are Driven to School (2005)The contribution of active travel to children's physical activity levels: Cross-sectional results from the ALSPAC study (2009)The co-benefits for health of investing in active transportation (2010)The impact of parents’ fear of strangers and perceptions of informal social control on children's independent mobility (2013)Criteria for evaluating evidence on public health interventions (2002)Cycling for transport and public health: a systematic review of the effect of the environment on cycling (2010)Part II: Policy instruments for sustainable road transport (2010)Walking and Cycling to Health: A Comparative Analysis of City, State, and International Data (2010)Empirical research on nominal exchange rates (1995)Measuring Market Power in the Ready-to-Eat Cereal Industry (1998)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Mixed Logit model: The state of practice (2003)Conditional logit analysis of qualitative choice behavior (1972)Specification Tests in Econometrics (1978)Automobile Prices in Market Equilibrium (1995)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)Addressing Sustainability in Transportation Systems: Definitions, Indicators, and Metrics (2005)Handbook on Constructing Composite Indicators (2005)Issues in sustainable transportation (2006)Sustainable Transport: An Efficient Transportation Network—Case Study (2020)Urban transportation sustainability assessments: a systematic review of literature (2021)Applications of evolutionary game theory in urban road transport network: A state of the art review (2023)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Travel and the Built Environment (2010)Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)On the measurement of inequality (1970)Built environments and mode choice: toward a normative framework (2002)The effects of attitudes and personality traits on mode choice (2005)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021)Measuring Accessibility: An Exploration of Issues and Alternatives (1997)Understanding Social Preferences with Simple Tests (2002)Group Identity and Social Preferences (2009)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)Service Quality Attributes Affecting Customer Satisfaction for Bus Transit (2007)The role of social capital, personal networks, and emergency responders in post-disaster recovery and resilience: a study of rural communities in Indiana (2017)Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City (2019)
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References

  • 2001Discrete Choice Methods with Simulation7,780 cited
  • 2000Mixed MNL models for discrete response4,354 cited
  • 1981Econometric Models of Probabilistic Choice2,052 cited
  • 2020Statistical and Econometric Methods for Transportation Data Analysis963 cited
  • 2018Applying a random forest method approach to model travel mode choice behavior491 cited
  • 2004Promoting walking and cycling as an alternative to using cars: systematic review431 cited
  • 2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2007Trends in Australian children traveling to school 1971–2003: Burning petrol or carbohydrates?267 cited
  • 2016Public transportation and sustainability: A review226 cited
  • 2012Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students223 cited
  • 2018Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling174 cited
  • 2020A systematic review of machine learning classification methodologies for modelling passenger mode choice154 cited
  • 2019Simulation error in maximum likelihood estimation of discrete choice models

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136 cited
  • 2014Independent mobility on the journey to school: A joint cross-sectional and prospective exploration of social and physical environmental influences131 cited
  • 2017School travel mode choice in Beijing, China123 cited
  • Cited by

    • 2025Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry5 cited