01556628

Component

https://doi.org/10.3141/2493-02

Route choice is one of the most complex decision-making contexts to represent mathematically, and the most frequently used approach to model route choice consists of generating alternative routes and modeling the preferences of utility-maximizing travelers. The main drawback of this approach is the dependency of the parameter estimates from the choice set generation technique. Bias introduced in model estimation has been corrected only for the random walk algorithm, which has problematic applicability to large-scale networks. This study proposes a correction term for the sampling probability of routes extracted with stochastic route generation. The term is easily applicable to large-scale networks and various environments, given its dependence only on a random number generator and the Dijkstra shortest path algorithm. The implementation for revealed preferences data, which consist of actual route choices collected in Cagliari, Italy, shows the feasibility of generating routes stochastically in a high-resolution network and calculating the correction factor. The model estimation with and without correction illustrates how the correction not only improves the goodness of fit but also turns illogical signs for parameter estimates to logical signs.

01595015

15-1807

English

pp 11–18

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369633

Print

Figures (1) ; References (44) ; Tables (4)

Bias (Statistics); Choice models; Estimating; Goodness of fit; Revealed preferences; Route choice; Statistical sampling; Stochastic programming

Cagliari (Italy)

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

TRIS, TRB, ATRI

Dec 30 2014 12:39PM

• Activity Pattern Models with Well-Being Indicators
• Activity-Based Model with Dynamic Traffic Assignment and Consideration of Heterogeneous User Preferences and Reliability Valuation: Application to Toll Revenue Forecasting in Chicago, Illinois
• Allocation of Individual Nonmandatory Activities to Day Segments in Tour Formation Procedure: Application to Activity-Based Models for Jerusalem, Israel, and Phoenix, Arizona
• Choice of Workplace Location: Coordination Between Multiple Workers in the Household
• Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice
• Estimation of Annual Mileage Budgets for a Multiple Discrete-Continuous Choice Model of Household Vehicle Ownership and Utilization
• Exploration of Short-Term Vehicle Utilization Choices in Households with Multiple Vehicle Types
• Integrating CEMDAP and MATSIM to Increase the Transferability of Transport Demand Models
• Investigation of Alternative Methods for Modeling Joint Activity Participation
• Latent-Segmentation-Based Approach to Investigating Spatial Transferability of Activity-Travel Models
• Modeling Transit Passenger Choices of Access Stop
• Population Synthesis in Activity-Based Models: Tabular Rounding in Iterative Proportional Fitting
• Synthetic Population Generation by Combining a Hierarchical, Simulation-Based Approach with Reweighting by Generalized Raking
• Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles