01590126

Component

https://doi.org/10.3141/2565-03

A latent segmentation-based logit (LSL) modeling framework investigated the travel tool ownership of the elderly population in the greater Toronto area, Ontario, Canada. This study utilized data from the 2006 Transportation Tomorrow Survey conducted in the greater Toronto area. The study developed five mutually exclusive travel tool ownership combinations or bundles for older adults. One of the unique features of this study is the development of an LSL model to capture unobserved heterogeneity in the older adults’ travel tool ownership decisions. The LSL model captures unobserved heterogeneity by allocating individuals to discrete latent segments through a latent segment allocation model. The model results suggest that the LSL model is estimated for two latent segments in which less frequent trip makers are more likely to belong to Segment 1 and more frequent trip makers have a higher probability of belonging to Segment 2. Moreover, the model results suggest that considerable heterogeneity exists among the older adults in the two segments. For instance, older adults residing in a neighborhood with a higher percentage of owned dwellings prefer to own multiple travel tools in one latent segment and reveal an opposite relationship in another segment. Moreover, older adults living closer to regional business centers have a higher probability of owning a monthly transit pass in one segment and exhibit an opposite relationship in another segment. This diversity in travel behavior should be addressed within the transportation and land use policies to ensure an effective and equitable transportation system for older adults.

01609830

16-0692

English

pp 18–26

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309369879

Print

Figures (1) ; References (34) ; Tables (3)

Aged; Automobile ownership; Driver licenses; Logits; Mobility; Surveys; Transit passes; Travel behavior

Transportation Tomorrow Survey

Toronto (Canada)

Data and Information Technology; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 12 2016 4:27PM

• Effect of Traveler’s Nationality on Daily Travel Time Expenditure Using Zero-Inflated Negative Binomial Regression Models: Results from Belgian National Household Travel Survey
• Full-Scale Controlled Comparison of Alternative Information Formats for Stated Choice Exercises
• Handling Intrahousehold Correlations in Modeling Travel: Comparison of Hierarchical Models and Marginal Models
• Incentivizing Modal Change: Exploring Effect of Multimodal Information and Ticketing Systems for Medium and Long Distances in Europe
• It’s a Matter of Time: Assessment of Additional Time Budgeted for Commuting to McGill University Across Modes
• Life-Oriented Approach of Modeling Commute Mode Loyalty and Transition Behavior
• Self-Driving Vehicles: Determinants of Adoption and Conditions of Usage
• Short-Term Adaptations as a Response to Travel Time Increases: Results of Stated-Adaptation Experiment
• Travelers’ Risk-Taking Behaviors in Day-to-Day Dynamic Evolution Model
• Valuation of Travel Time Reliability Accommodating Heterogeneity of Route Choice Behaviors
• Weakening Obstacles to Transit Use: Changes in Relationships with Child Rearing and Automobile Access from 2000 to 2010