SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Classification of Tours in the U.S. National Household Travel Survey through Clustering Techniques
16 references·2 citing·44 second hop
Classification of Tours in the U.S. National Household Travel Survey through Clustering Techniques (2016)Classification of Tours in the U.S. Natio…What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey (2014)What makes travel pleasant an…Comparing Rail Passengers’ Travel Time Use in Great Britain Between 2004 and 2010 (2012)Comparing Rail Passengers’ Tr…Exploring the trip chaining behaviour of public transport users in Melbourne (2010)Exploring the trip chaining b…Introduction to Data Mining (2007)Introduction to Data MiningDefining and understanding trip chaining behaviour (2007)Defining and understanding tr…An exploration of the relationship between mode choice and complexity of trip chaining patterns (2006)An exploration of the relatio…Trip-Chaining Trends in the United States: Understanding Travel Behavior for Policy Making (2005)Trip-Chaining Trends in the U…Space and time related determinants of public transport use in trip chains (2005)Space and time related determ…‘Complacent Car Addicts’ or ‘Aspiring Environmentalists’? Identifying travel behaviour segments using attitude theory (2005)‘Complacent Car Addicts’ or ‘…Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys (2003)Trip Rate Analysis in GPS-Enh…Spatial context and the complexity of daily travel patterns: an international comparison (2003)Spatial context and the compl…Neighborhood services, trip purpose, and tour-based travel (2003)Neighborhood services, trip p…Activity pattern similarity: a multidimensional sequence alignment method (2002)Activity pattern similarity: …Activity-based disaggregate travel demand model system with activity schedules (2001)Activity-based disaggregate t…Trip chaining as a barrier to the propensity to use public transport (2000)Trip chaining as a barrier to…Passion and heart in transport — a sociological analysis on transport behaviour (1999)Passion and heart in transpor…A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions (2025)A comprehensive methodologica…Non-linear effects of built environment factors on mode choice: A tour-based analysis (2024)Non-linear effects of built e…Travel demand and the 3Ds: Density, diversity, and design (1997)The Influence of Urban Form on Travel: An Interpretive Review (2000)Travel and the Built Environment: A Synthesis (2001)Commuting trips within tours: how is commuting related to land use? (2010)How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities (2012)The impact of urban form on CO2 emission from work and non-work trips: The case of Beijing, China (2015)Econometric Models of Probabilistic Choice (1981)Discrete Choice Analysis (1985)Mixed MNL models for discrete response (2000)Extended discrete choice models : integrated framework, flexible error structures, and latent variables (2001)Limited-dependent and qualitative variables in econometrics (1983)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)Factors Correlated with Bicycle Commuting: A Study in Six Small U.S. Cities (2010)Linking modal choice to motility: A comprehensive review (2013)The theory of planned behavior (1991)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)The Theory of Planned Behaviour (2004)Understanding attitudes towards public transport and private car: A qualitative study (2007)Promoting Cycling for Transport: Research Needs and Challenges (2014)The happy commuter: A comparison of commuter satisfaction across modes (2014)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)What about people in Regional Science? (1970)Exploring bikesharing travel time and trip chain by gender and day of the week (2015)Measuring Regularity of Individual Travel Patterns (2017)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Activity-Based Approaches to Travel Analysis (1997)A multiple discrete–continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays (2009)Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index (2014)Core affect and the psychological construction of emotion. (2003)Applied choice analysis a primer (2005)Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction (2018)Subjective well-being and travel: retrospect and prospect (2018)How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios (2019)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Activity-based models of travel demand: promises, progress and prospects (2013)Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey (2014)Means of transport and ontological security: Do cars provide psycho-social benefits to their users? (2002)The role of affect in UK commuters' travel mode choices: An interpretative phenomenological analysis (2006)Cycling Under Influence: Summarizing the Influence of Perceptions, Attitudes, Habits, and Social Environments on Cycling for Transportation (2014)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)A Methodology for Direct and Indirect Discrimination Prevention in Data Mining (2012)Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks (2018)
this work references cited by second hop

References

  • 2005‘Complacent Car Addicts’ or ‘Aspiring Environmentalists’? Identifying travel behaviour segments using attitude theory1,004 cited
  • 2007Introduction to Data Mining941 cited
  • 2001Activity-based disaggregate travel demand model system with activity schedules763 cited
  • 2006An exploration of the relationship between mode choice and complexity of trip chaining patterns273 cited
  • 2000Trip chaining as a barrier to the propensity to use public transport258 cited
  • 1999Passion and heart in transport — a sociological analysis on transport behaviour236 cited
  • 2007Defining and understanding trip chaining behaviour234 cited
  • 2003Neighborhood services, trip purpose, and tour-based travel206 cited
  • 2014What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey173 cited
  • 2002Activity pattern similarity: a multidimensional sequence alignment method167 cited
  • 2003Spatial context and the complexity of daily travel patterns: an international comparison135 cited
  • 2003Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys118 cited
  • 2005Trip-Chaining Trends in the United States: Understanding Travel Behavior for Policy Making108 cited
  • 2010Exploring the trip chaining behaviour of public transport users in Melbourne106 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2005Space and time related determinants of public transport use in trip chains97 cited
  • 2012Comparing Rail Passengers’ Travel Time Use in Great Britain Between 2004 and 201093 cited
  • Cited by

    • 2024Non-linear effects of built environment factors on mode choice: A tour-based analysis10 cited
    • 2025A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions9 cited