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DEVELOPING A HOUSEHOLD TRAVEL PANEL SURVEY FOR THE PUGET SOUND REGION
1 references·16 citing·47 second hop
DEVELOPING A HOUSEHOLD TRAVEL PANEL SURVEY FOR THE PUGET SOUND REGION (1990)DEVELOPING A HOUSEHOLD TRAVEL PANEL SURVE…TRAVEL-CHOICE BEHAVIOR: MODELS OF PERCEPTIONS, FEELINGS, PREFERENCE, AND CHOICE (1980)TRAVEL-CHOICE BEHAVIOR: MODEL…Workshop Synthesis: Household travel surveys in an era of evolving data needs for passenger travel demand (2018)Workshop Synthesis: Household…A decade of dynamics of residential location, car ownership, activity, travel and land use in the Seattle metropolitan region (2018)A decade of dynamics of resid…Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence (2017)Triggers of behavioral change…The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection (2015)The Netherlands Mobility Pane…THE OPTIMAL DURATION FOR A TRAVEL SURVEY (2009)THE OPTIMAL DURATION FOR A TR…Catching the Next Big Wave: Are the Observed Behavioral Dynamics of the Baby Boomers Forcing Us to Rethink Regional Travel Demand Models? (2007)Catching the Next Big Wave: A…Use of Traveler Information in the Puget Sound Region: Preliminary Multivariate Analysis (2000)Use of Traveler Information i…MULTI-DAY AND MULTI-PERIOD DATA FOR TRAVEL DEMAND ANALYSIS AND MODELING (2000)MULTI-DAY AND MULTI-PERIOD DA…Analysis of activity duration using the Puget sound transportation panel (2000)Analysis of activity duration…Evaluating Effects of Transportation Demand Management Strategies on Trip Generation by Using Poisson and Negative Binomial Regression (1999)Evaluating Effects of Transpo…Application of Poisson Regression Models to Activity Frequency Analysis and Prediction (1999)Application of Poisson Regres…Household Travel Surveys (1998)Household Travel SurveysTravel Demand Forecasting Using Microsimulation: Initial Results from Case Study in Pennsylvania (1997)Travel Demand Forecasting Usi…A dynamic analysis of person and household activity and travel patterns using data from the first two waves in the Puget Sound Transportation Panel (1997)A dynamic analysis of person …TRAVEL BEHAVIOR SURVEY DATA COLLECTION INSTRUMENTS (1996)TRAVEL BEHAVIOR SURVEY DATA C…The puget sound transportation panel after two waves (1992)The puget sound transportatio…An evaluation of activity-based travel analysis (1988)Weekly travel-activity behavior (1988)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Weekly rhythms in task and time allocation of households (2009)Differences in Off-Road Glances: Effects on Young Drivers’ Performance (2010)Assessing Activity Pattern Similarity with Multidimensional Sequence Alignment Based on a Multiobjective Optimization Evolutionary Algorithm (2014)Specification Tests in Econometrics (1978)Poisson analysis of commuter flexibility in changing routes and departure times (1989)Occurence, frequency, and duration of commuters' work-to-home departure delay (1990)What can be Learned from Analyzing University Student Travel Demand? 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(2005)Incorporating active and non-active mode preferences for Departure time choice behavior (2021)The German Mobility Panel: – Lessons Learned from a Longitudinal Travel Behavior Survey over 30 Years (2024)Multivariate regression models for panel data (1982)A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization (1985)Panel data from time series of cross-sections (1985)Evaluating the biases and sample size implications of multi-day GPS-enabled household travel surveys (2018)Predicting a Vehicle's Distance Traveled from Short-duration Data (2019)Impact assessment of short-term management measures on travel demand (2020)Prototype Model of Household Activity-Travel Scheduling (2003)Transportation Modeling (2021)Combining a regional household survey and passive data streams for longitudinal monitoring purposes (2024)Exploring variabilities of multi-week activity-travel patterns: a deep embedded clustering approach (2025)Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models (1997)Responses to Transit Information among Car-drivers: Regret-based Models and Simulations (2006)Making the “primary utility of travel” concept operational: A measurement model for the assessment of the intrinsic utility of reported trips (2008)
this work references cited by second hop

References

  • 1980TRAVEL-CHOICE BEHAVIOR: MODELS OF PERCEPTIONS, FEELINGS, PREFERENCE, AND CHOICE68 cited

Cited by

  • 2015The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection135 cited
  • 1999Application of Poisson Regression Models to Activity Frequency Analysis and Prediction54 cited
  • 1997A dynamic analysis of person and household activity and travel patterns using data from the first two waves in the Puget Sound Transportation Panel48 cited
  • 2000Analysis of activity duration using the Puget sound transportation panel33 cited
  • 1992The puget sound transportation panel after two waves32 cited
  • 2000MULTI-DAY AND MULTI-PERIOD DATA FOR TRAVEL DEMAND ANALYSIS AND MODELING18 cited
  • 1997Travel Demand Forecasting Using Microsimulation: Initial Results from Case Study in Pennsylvania18 cited
  • 1999Evaluating Effects of Transportation Demand Management Strategies on Trip Generation by Using Poisson and Negative Binomial Regression17 cited
  • 2018Workshop Synthesis: Household travel surveys in an era of evolving data needs for passenger travel demand15 cited
  • 2009THE OPTIMAL DURATION FOR A TRAVEL SURVEY14 cited
  • 2017Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence13 cited
  • 2000Use of Traveler Information in the Puget Sound Region: Preliminary Multivariate Analysis

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13 cited
  • 1996TRAVEL BEHAVIOR SURVEY DATA COLLECTION INSTRUMENTS13 cited
  • 2018A decade of dynamics of residential location, car ownership, activity, travel and land use in the Seattle metropolitan region12 cited
  • 1998Household Travel Surveys12 cited
  • 2007Catching the Next Big Wave: Are the Observed Behavioral Dynamics of the Baby Boomers Forcing Us to Rethink Regional Travel Demand Models?12 cited