Frequent Vs Occasional Drivers: A Hybrid Route Choice Model

In this paper, the authors examine the route choice behavior of frequent versus occasional drivers by presenting a comprehensive framework to explicitly incorporate latent behavioral constructs as well as a probabilistic segmentation of the population based on drivers’ perceptions and preferences. Previous route choice studies have mostly focused on the effect of observable factors, such as route attributes and socio-economic characteristics, on individuals’ decisions. However, route choice decisions might not be exclusively dependent on these observable variables, but also on latent variables, which cannot be directly observed and measured. Moreover, the latent behavioral heterogeneity among the population has mostly been ignored by assuming that all the individuals in the sample population have similar attitudes, perceptions, and lifestyles. Data is collected through a web-based survey designed to collect behavioral data on drivers’ route choices, using psychometric indicators and behavioral questions on respondents’ perceptions and attitudes. An Integrated Choice and Latent Variable (ICLV) model is used to bring in the role of underlying behavioral constructs, while a Latent Class (LC) model accounts for taste heterogeneity across the two segments of the authors' sample population. An Extended Path-Size Logit (EPSL) model is adopted as the choice model component and a Metropolis-Hastings (MH) based algorithm is used to generate route alternatives. Results confirmed that the inclusion of latent variables and latent heterogeneity across population segments significantly improve the explanatory power of the choice model.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: Frequent Versus Occasional Drivers: A Hybrid Route Choice Model
• Authors:
  • Alizadeh, Hamzeh
  • Farooq, Bilal
  • Morency, Catherine
  • Saunier, Nicolas
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: References; Tables;
• Pagination: 17p

Subject/Index Terms

• TRT Terms: Attitudes; Automobile drivers; Automobile driving; Choice models; Factor analysis; Heterogeneity; Revealed preferences; Route choice; Surveys; Traffic models; Travel behavior
• Geographic Terms: Montreal (Canada)
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01661050
• Record Type: Publication
• Report/Paper Numbers: 18-05272
• Files: TRIS, TRB, ATRI
• Created Date: Feb 23 2018 4:37PM