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Identifying Influence Mechanisms of Low-Carbon Travel Intention Through the Integration of Built Environment and Policy Perceptions: A Case Study in Shanghai, China
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Identifying Influence Mechanisms of Low-Carbon Travel Intention Through the Integration of Built Environment and Policy Perceptions: A Case Study in Shanghai, China (2025)Identifying Influence Mechanisms of Low-C…Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)Predicting the travel mode ch…Analysis of spatial associations in the energy–carbon emission efficiency of the transportation industry and its influencing factors: Evidence from China (2022)Analysis of spatial associati…Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Partial Least Squares Structu…The Post-Coronavirus World in the International Tourism Industry: Application of the Theory of Planned Behavior to Safer Destination Choices in the Case of US Outbound Tourism (2020)The Post-Coronavirus World in…Machine learning applications in activity-travel behaviour research: a review (2020)Machine learning applications…Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Examining non-linear built en…The mountains are calling! An extended TPB model for understanding metropolitan residents' intentions to visit nearby alpine destinations in summer (2019)The mountains are calling! An…Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions (2019)Examining threshold effects o…Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach (2018)Assessing the potential for c…Applying a random forest method approach to model travel mode choice behavior (2018)Applying a random forest meth…Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit (2010)Habitual or reasoned? Using t…Use of non-motorised modes and life stage in Edinburgh (2005)Use of non-motorised modes an…Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices (2005)Axiomatic characterizations o…Travel demand and the 3Ds: Density, diversity, and design (1997)Travel demand and the 3Ds: De…Structural Equations with Latent Variables (1989)Structural Equations with Lat…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (1994)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Multiple Factor Analysis (2007)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The theory of planned behavior (1991)Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction (2016)Shedding light on the psychological and behavioral determinants of travel mode choice: A meta-analysis (2017)Environmental Knowledge, Awareness, and Business School Students’ Intentions to Purchase Green Vehicles in Emerging Countries (2018)Integrating quantitative and qualitative research: how is it done? (2006)Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport (2009)Do the Health Benefits of Cycling Outweigh the Risks? (2010)Exploring the Nonlinear Relationship between the Built Environment and Active Travel in the Twin Cities (2020)The impact of e-cycling on travel behaviour: A scoping review (2020)Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency (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)Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021)Travel and the Built Environment: A Synthesis (2001)Travel and the Built Environment (2010)Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China (2021)Using machine-learning models to understand nonlinear relationships between land use and travel (2023)Nature and Operation of Attitudes (2001)Tourism in a Post-COVID-19 Era: Sustainable Strategies for Industry’s Recovery (2021)Changes in travel behaviors and intentions during the COVID-19 pandemic and recovery period: A case study of China (2022)Predicting investors’ intention to invest in the stock market during COVID-19: can we use an extended theory of planned behavior? (2022)How derived is the demand for travel? Some conceptual and measurement considerations (2001)Model-Dependent Variance Inflation Factor Cutoff Values (2002)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Time-varying and non-linear associations between metro ridership and the built environment (2022)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (2021)Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example (2022)Progress in partial least squares structural equation modeling use in marketing research in the last decade (2022)Significance tests and goodness of fit in the analysis of covariance structures. (1980)On the Evaluation of Structural Equation Models (1988)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)PLS-SEM: Indeed a Silver Bullet (2011)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error108,884 cited
  • 1989Structural Equations with Latent Variables17,500 cited
  • 2021Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R10,287 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2018Applying a random forest method approach to model travel mode choice behavior491 cited
  • 2010Habitual or reasoned? Using the theory of planned behavior, technology acceptance model, and habit to examine switching intentions toward public transit406 cited
  • 2020Examining non-linear built environment effects on elderly’s walking: A random forest approach352 cited
  • 2018Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach201 cited
  • 2020The Post-Coronavirus World in the International Tourism Industry: Application of the Theory of Planned Behavior to Safer Destination Choices in the Case of US Outbound Tourism192 cited
  • 2019Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions186 cited
  • 2022Predicting the travel mode choice with interpretable machine learning techniques: A comparative study170 cited
  • 2005Axiomatic characterizations of probabilistic and cardinal-probabilistic interaction indices167 cited
  • 2005Use of non-motorised modes and life stage in Edinburgh

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142 cited
  • 2020Machine learning applications in activity-travel behaviour research: a review140 cited
  • 2022Analysis of spatial associations in the energy–carbon emission efficiency of the transportation industry and its influencing factors: Evidence from China134 cited
  • 2019The mountains are calling! An extended TPB model for understanding metropolitan residents' intentions to visit nearby alpine destinations in summer132 cited
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