01340075

Component

https://doi.org/10.3141/2231-05

http://scholar.google.com...lias&publication_year=2011

The ability to transfer national travel patterns to a local population is of interest for modeling either large areas that exceed the boundaries of a metropolitan planning organization or small regions with no available travel survey data. At the core of this research are questions about the connection between travel behavior and land use, urban form, and accessibility. To explore this relationship, the researchers selected a group of land use variables to define activity and travel patterns for individuals and households. The 2001 National Household Travel Survey (NHTS) participants were divided into categories consisting of a set of latent cluster models representing persons, travel, and land use. This set was compared with two sets of cluster models constructed for two local travel surveys. Mean statistical tests were compared to assess differences among sociodemographic groups residing in localities with similar land uses. The results showed that the NHTS and the local surveys shared mean population activity and travel characteristics. However, these similarities masked behavioral heterogeneity, which was seen when distributions of activity and travel behavior were examined. Therefore, data from a national household travel survey in combination with land use data cannot be used to model local population travel characteristics if the goal is to model the behavioral distributions and not just mean travel behavior characteristics.

01357425

11-3619

English

0000-0002-7436-9447

pp 35-43

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167475

Print

References (23) ; Tables (7)

Accessibility; Activity choices; Cluster analysis; Land use; Travel behavior; Travel patterns; Travel surveys

National Household Travel Survey

Transferability; Travel data; Urban form

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 6:35PM

• Applying Sequence Alignment Methods to Large Activity–Travel Data Sets: Heuristic Approach
• Barriers to Teenage Mobility in the Greater Toronto Area, Ontario, Canada: Attitudes, Concerns, and Policy Implications
• Built Environment, Individual Attributes, and Variability of Body Mass Index of Drivers in the Chicago, Illinois, Metropolitan Area: Empirical Analysis
• Dynamic Choice Set Generation Based on Global Positioning System Trajectories and Stated Preference Data
• Dynamic Discrete Choice Model for Multiple Social Interactions
• Empirical Analysis of Decision-Making and Tour Formation Process: Comparison Between Seniors and Younger Individuals
• Empirical Analysis of the Activity-Planning Process
• Estimating Value of Travel Time Savings by Using Large-Scale Household Survey Data from Japan
• Joint Analysis of Time Use and Consumer Expenditure Data: Examination of Two Approaches to Deriving Values of Time
• Modeling the Impacts of Information and Communication Technologies and Virtual Activities on Activity and Travel Behavior: Case Study of Cairo, Egypt
• Nonwork Travel Behavior Changes During Temporary Freeway Closure: The Fix I-5 Project in Sacramento, California
• Personal Network Maintenance, Face-to-Face Interaction, and Distance: Role of Availability and Use of Information and Communication Technologies
• Propensity to Telecommute: Exploring the National Household Travel Survey
• Subjective Measure of Car Dependence