00803794

Component

https://doi.org/10.3141/1725-11

http://scholar.google.com...mura&publication_year=2000

Travel time is one of the most fundamental and important determinants of travel behavior. However, the travel time on which a travel decision is based is a subjective one (i.e., it is an anticipated travel time). A conceptual model of the formation of an anticipated travel time through information acquisition and initial driving experience is proposed. Day-to-day data of anticipated travel times were collected during a closure of the Hanshin Expressway Sakai Route, a toll road connecting the central business districts of Osaka and Sakai, which is located approximately 20 km south of the Osaka route closure. A test was conducted of the information dominance hypothesis (i.e., as drivers acquire more information on travel time, they can predict travel time more precisely and refer less to anticipated travel times used in the past to anticipate travel times) and the experience dominance hypothesis (i.e., influences of information not from driving experience on anticipated travel time is weaker with actual driving experience than without actual experience). Although word of mouth information does not have impacts consistent with these two hypotheses, results with other types of information support both hypotheses.

This paper appears in Transportation Research Record No. 1725, Freight Travel Behavior, Route Choice Behavior, and Advanced Traveler Information Systems.

English

p. 79-85

2000

Transportation Research Record

0309067286

Figures (2) ; References (28) ; Tables (2)

Decision making; Hypothesis testing; Travel behavior; Travel time

Anticipated travel time

Japan

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB

Dec 4 2001 12:00AM

• AGGREGATE- AND DISAGGREGATE-BASED TRAVEL TIME ESTIMATIONS: COMPARISON OF APPLICATIONS TO SUSTAINABILITY ANALYSIS AND ADVANCED TRAVELER INFORMATION SYSTEMS
• ANALYSIS OF TIME ALLOCATION, DEPARTURE TIME, AND ROUTE CHOICE BEHAVIOR UNDER CONGESTION PRICING
• ANTICIPATORY OPTIMIZATION OF TRAFFIC CONTROL
• BICRITERION TRAFFIC EQUILIBRIUM: T2 MODEL, ALGORITHM, AND SOFTWARE OVERVIEW
• CONTENT OF VARIABLE MESSAGE SIGNS AND ON-LINE DRIVER BEHAVIOR
• FRAMEWORK FOR THE ANALYSIS OF GROCERY TELESHOPPING
• FREIGHT TRAVEL DEMAND MODELING: SYNTHESIS OF APPROACHES AND DEVELOPMENT OF A FRAMEWORK
• MODELING BEHAVIORAL ASPECTS OF URBAN FREIGHT MOVEMENT IN SUPPLY CHAINS
• MODELING INERTIA AND COMPLIANCE MECHANISMS IN ROUTE CHOICE BEHAVIOR UNDER REAL-TIME INFORMATION
• PERCEIVED VALUE OF TIME FOR TRUCK OPERATORS
• ROUTE AND SCHEDULING CHOICE UNDER TRAVEL TIME UNCERTAINTY
• ROUTE CHOICE MODEL WITH INDUCTIVE LEARNING
• TRAVELER RESPONSES TO ADVANCED TRAVELER INFORMATION SYSTEMS FOR SHOPPING TRIPS: INTERACTIVE SURVEY APPROACH
• USING GLOBAL POSITIONING SYSTEM DATA TO UNDERSTAND VARIATIONS IN PATH CHOICE
• VALUE OF TIME IN FREIGHT TRANSPORT IN FINLAND