01517443

Component

https://doi.org/10.3141/2429-09

http://scholar.google.com...iraj&publication_year=2014

The problem of choice set formation for decision makers is an important subject in discrete choice modeling, especially when the choice set contains a large number of elemental alternatives. In general, the choice set of an individual could be a randomly sampled choice set; however, this is claimed to be a behaviorally unacceptable practice because of the fallacious assumption of individuals’ full knowledge of potential random choices. This issue brings up the need to devise methods to logically allocate credible choice alternatives for individuals. Although the use of these methods could be dependent on specific applications, this study attempted to identify the distinction between model estimation and prediction steps in the context of residential location choice modeling. From a theoretical point of view, the paper proposes a modified weighted stratified sampling approach that is an improved version of random sampling for model estimation. The approach is believed to be a better replicate of the universal choice set than other sampling methods, and it is capable of resulting in consistent estimates even with small sample sizes. The estimated model was applied in a simulation framework with a hazard-based imputed choice set approach for prediction.

01547309

14-2937

English

pp 79–89

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295239

Print

Figures (1) ; References (28) ; Tables (7)

Choice models; Land use planning; Random sampling; Residential location; Traffic forecasting; Travel demand

Imputation

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

TRIS, TRB, ATRI

Jan 27 2014 3:00PM

• Application of Travel Activity Scheduler for Household Agents in a Chinese City
• Associations Generation in Synthetic Population for Transportation Applications: Graph-Theoretic Solution
• Characterizing Household Vehicle Fleet Composition and Count by Type in Integrated Modeling Framework
• Effects of Uncertainty in Speed–Flow Curve Parameters on a Large-Scale Model: Case Study of the Danish National Model
• Extension of Activity-Based Modeling Approach to Incorporate Supply Side of Activities: Examples for Major Universities and Special Events
• Incorporation of Escorting Children to School in Modeling Individual Daily Activity Patterns of Household Members
• Integrated Transport Planning Framework Involving Combined Utility Regret Approach
• Is Sequential Estimation a Suitable Second Best for Estimation of Hybrid Choice Models?
• Joint Modeling of Trip Mode and Departure Time Choices Using Revealed and Stated Preference Data
• Methods for Quantitative Risk Analysis for Travel Demand Model Forecasts
• Model Complexities and Requirements for Multimodal Transport Network Design: Assessment of Classical, State-of-the-Practice, and State-of-the-Research Models
• Modeling Demand Elasticity and Route Overlapping in Stochastic User Equilibrium Through Paired Combinatorial Logit Model
• Modeling Taxi Trip Demand by Time of Day in New York City
• Multiple Discrete-Continuous Model of Activity Participation and Time Allocation for Home-Based Work Tours
• Practical Solutions for Sampling Alternatives in Large-Scale Models
• Spatial Transferability of Tour-Based Time-of-Day Choice Models: Empirical Assessment
• Synthetic Population Generation at Disaggregated Spatial Scales for Land Use and Transportation Microsimulation
• Using Survey Calibration and Statistical Matching to Reweight and Distribute Activity Schedules