00732302

Component

https://doi.org/10.3141/1551-12

http://scholar.google.com...mans&publication_year=1996

Travel decision making is increasingly regarded as a highly complex process in which individuals not only decide about frequency of trips, travel modes, and routes, but also about activity participation and sequencing and timing and duration of activities and trips. This raises the question of whether or not traditional discrete-choice models still provide the best starting point for realistically modeling such a process. Some scholars consider computational process models (CPMs) a promising approach because they allow for heuristic search and suboptimal reasoning processes, which are typical for complex decision making. A model of activity scheduling, SMASH (Simulation Model of Activity Scheduling Heuristics), which incorporates aspects of discrete-choice modeling and CPMs, has been proposed. The model describes the pretrip planning phase, in which individuals decide which activities to perform, at what locations, at what times, in which sequence, and how to travel to the various activity sites. The calibration of this model, using data collected with the interactive computerized procedure MAGIC, has been described in the literature. The results indicated that when scheduling their activities, subjects seem to trade off attributes of activities (time constraints, duration), attributes of the schedule (time spent on activities, overall travel time, realism) and characteristics of the scheduling process (amount of effort already involved in the scheduling process) to obtain feasible schedules. More extensive tests, using simulation experiments, of the model's internal, predictive, and face validity are described. SMASH was used to predict subjects' activity schedules based on their activity agenda and information about their spatio-temporal circumstances. The predicted schedules were then compared with the activity schedules conceived by the subjects themselves under different circumstances, to assess the model's validity. The tests indicated that the model provided satisfactory results with respect to the reproduction of the observed activity schedules. The results of the validity test warrant the use of the model for assessing the effects of various policy measures such as time policies, land use policies, and travel demand management.

This paper appears in Transportation Research Record No. 1551, Innovative Transportation Data Management, Survey Methods, and Geographic Information Systems.

English

p. 88-94

1996

Transportation Research Record

0309059216

References (23) ; Tables (5)

Alternatives analysis; Choice models; Decision making; Heuristic methods; Travel; Travel behavior; Validity

Activity models; Discrete-choice models

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

TRIS, TRB

Feb 6 1997 12:00AM

• ACCESS MANAGEMENT USING GEOGRAPHIC INFORMATION SYSTEMS AND TRAFFIC MANAGEMENT TOOLS IN PENNSYLVANIA
• ADVANCED TECHNIQUES FOR TRAVEL TIME DATA COLLECTION
• APPLICATION OF RELATIONAL DATA BASE STRUCTURE FOR MANAGING NETWORK INFORMATION
• ARCHITECTURE OF A CONGESTION MANAGEMENT SYSTEM FOR CONTROLLED-ACCESS FACILITIES
• DETERMINING DETAILED ORIGIN-DESTINATION AND TRAVEL TIME PATTERNS USING VIDEO AND MACHINE VISION LICENSE PLATE MATCHING
• DEVELOPMENT AND BENEFITS OF COMPUTER-AIDED TRAVEL TIME DATA COLLECTION
• GEOGRAPHIC INFORMATION SYSTEM FRAMEWORK FOR MODELING MOBILE-SOURCE EMISSIONS
• GEOGRAPHIC INFORMATION SYSTEM-BASED TRANSPORTATION FORECAST MODEL FOR SMALL URBANIZED AREAS
• INCENTIVES AND RATES OF RETURN FOR TRAVEL SURVEYS
• INTEGRATING GEOGRAPHIC INFORMATION SYSTEMS FOR TRANSPORTATION AND AIR QUALITY MODELS FOR MICROSCALE ANALYSIS
• NONRESPONSE AND URBAN TRAVEL MODELS
• ORIGIN-DESTINATION SURVEY DATA DISSEMINATION IN METROPOLITAN CONTEXT: A MULTIMEDIA EXPERIENCE
• RETROSPECTIVE INTERVIEWING AND ITS APPLICATION IN STUDY OF RESIDENTIAL MOBILITY
• REVIEW OF METHODS FOR ESTIMATING VEHICLE MILES TRAVELED
• SAMPLE WEIGHTS FOR PUGET SOUND TRANSPORTATION PANEL USING STRATIFICATION ANCHORS IN PUBLIC USE MICRODATA SAMPLE AND PROBABILISTIC MODELS FOR SELF-SELECTION
• VEHICLE CLASSIFICATION USING ADVANCED TECHNOLOGIES