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Predicting Tour Patterns Derived from Ubiquitous Data Sources
16 references·0 citing·51 second hopsampled
Predicting Tour Patterns Derived from Ubiquitous Data Sources (2013)Predicting Tour Patterns Derived from Ubi…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Eigenplaces: Analysing Cities…Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis (2007)Impacts of Information and Co…Analysis of Morning Commute Route Choice Patterns Using Global Positioning System-Based Vehicle Activity Data (2005)Analysis of Morning Commute R…Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey (2003)Impact of Underreporting on M…BIOGEME: a free package for the estimation of discrete choice models (2003)BIOGEME: a free package for t…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …Using Global Positioning System Data to Understand Variations in Path Choice (2000)Using Global Positioning Syst…Global Positioning System as Data Collection Method for Travel Research (2000)Global Positioning System as …Predicting a Behavioral Profile for Pleasure Travelers on the Basis of Internet Use Segmentation (1999)Predicting a Behavioral Profi…Discrete Choice Models (1998)Discrete Choice ModelsA micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)A micro-analysis of land use …THE DETERMINANTS OF DAILY TRAVEL-ACTIVITY PATTERNS: RELATIVE LOCATION AND SOCIODEMOGRAPHIC FACTORS (1982)THE DETERMINANTS OF DAILY TRA…Location and Land Use (1964)Location and Land Use: Toward a General Theory of Land Rent (1964)Cities and Housing. (1970)Travel demand and the 3Ds: Density, diversity, and design (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Travel and the Built Environment (2010)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Computational Social Science (2009)Friendship and mobility (2011)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Human mobility: Models and applications (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. 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Conceptualizing space, place and information technology (1998)Reality mining: sensing complex social systems (2005)Smart cities of the future (2012)Dynamic population mapping using mobile phone data (2014)Stretched exponential distributions in nature and economy: “fat tails” with characteristic scales (1998)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Urban Computing (2014)A survey of results on mobile phone datasets analysis (2015)Predicting poverty and wealth from mobile phone metadata (2015)Limits of Predictability in Human Mobility (2010)Natural Scales in Geographical Patterns (2017)Conditional logit analysis of qualitative choice behavior (1972)Specification Tests in Econometrics (1978)Stated Choice Methods (2000)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)The Mixed Logit model: The state of practice (2003)Conducting Discrete Choice Experiments to Inform Healthcare Decision Making (2008)Individual Choice Behavior: A Theoretical Analysis. (1960)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies (2016)Preferences for shared autonomous vehicles (2016)User preferences regarding autonomous vehicles (2017)
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References

  • 2001Discrete Choice Methods with Simulation7,927 cited
  • 2008Understanding individual human mobility patterns6,185 cited
  • 2010Modelling the scaling properties of human mobility1,304 cited
  • 1997A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area1,064 cited
  • 2003BIOGEME: a free package for the estimation of discrete choice models884 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records611 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data545 cited
  • 2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
  • 2003Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey184 cited
  • 2007Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis159 cited
  • 1999Predicting a Behavioral Profile for Pleasure Travelers on the Basis of Internet Use Segmentation151 cited
  • 1982THE DETERMINANTS OF DAILY TRAVEL-ACTIVITY PATTERNS: RELATIVE LOCATION AND SOCIODEMOGRAPHIC FACTORS144 cited
  • 1998Discrete Choice Models131 cited
  • 2000Global Positioning System as Data Collection Method for Travel Research

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116 cited
  • 2000Using Global Positioning System Data to Understand Variations in Path Choice102 cited
  • 2005Analysis of Morning Commute Route Choice Patterns Using Global Positioning System-Based Vehicle Activity Data94 cited
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