01015558

Component

https://doi.org/10.3141/1921-12

http://scholar.google.com...hang&publication_year=2005

Focusing on car tourists’ 1-day tours, a new scheduling model combines a nested paired combinatorial logit (NPCL) type of destination and route choice model and a time allocation (TA) model. The NPCL model, developed previously from the generalized extreme value family of discrete choice models to represent the similarity between pairs of alternatives in the same choice nest as well as the influence of inclusive value, indicates destination choice in the bottom level and route choice in the top level. The TA model applies Becker’s theory to determine the time allocated to each touring site. Utility of destination choice is influenced by the time spent at each site. Different route choices result in a level of service for the road network that varies hourly, varying available time used in the TA model. The TA model endogenously incorporates the influence of hourly variance in level of service at the site of interest, which is affected by the allocated time. An iteration estimation procedure is proposed to estimate the parameters consistently in both models. Finally, revealed preference tourist travel survey data collected in a tourist attraction region near the Sea of Japan indicate that the proposed scheduling model is effective in representing car tourists’ scheduling behavior for 1-day tours.

01015546

English

pp 100-111

2005

Transportation Research Record: Journal of the Transportation Research Board

0309093953

Print

Figures (4) ; References (17) ; Tables (5)

Automobile travel; Level of service; Origin and destination; Revealed preferences; Route choice; Scheduling; Tourists; Travel surveys

Nested logit models; One-day tours; Time allocation models

Japan

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

TRIS, TRB, ATRI

Jan 19 2006 9:40AM

• Analysis of Joint Household Decisions About Car and Motorbike Ownership and Use in Taiwan
• Discrete Choice with Social and Spatial Network Interdependencies: An Empirical Example Using Mixed Generalized Extreme Value Models with Field and Panel Effects
• Efficiently Estimating Nested Logit Models with Choice-Based Samples: Example Applications
• Escorting Children to School: Statistical Analysis and Applied Modeling Approach
• Evaluation of Optimization Methods for Estimating Mixed Logit Models
• Florida Activity Mobility Simulator: Overview and Preliminary Validation Results
• Incorporating Trip-Chaining Behavior into Network Equilibrium Analysis
• Market-Based Framework for Forecasting Parking Cost in Traditional and Microsimulation Modeling Applications
• Path Size Modeling in Multimodal Route Choice Analysis
• Simulation Estimation of Mixed Discrete Choice Models with the Use of Randomized Quasi-Monte Carlo Sequences: A Comparative Study
• Testing Mixed Logit and Probit Models by Simulation
• Tests of a Family of Trip Table Refinements for Long-Range, Quick-Response Travel Forecasting
• Travel Demand Modeling for Regional Visioning and Scenario Analysis
• Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada