00800142

Component

https://doi.org/10.3141/1718-05

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

Activity-based travel analysis has been gaining increasing attention in travel demand research during the past decade. Activity and trip information collected at the person level aids in understanding the underlying behavioral patterns of individuals and the interactions among their activities and trips. Activity and time use patterns across geographical contexts are compared. Such a comparison could shed light on the differences and similarities in travel behavior that exist between areas. To accomplish this objective, activity, travel, and time use information derived from surveys conducted in the San Francisco Bay and Miami areas has been analyzed to identify differences in activity engagement patterns across different sample groups. In general, it was found that activity and time use patterns are comparable across the two areas as long as the commuting status and demographic characteristics of the individuals are controlled for. In addition, the time-of-day distributions of various events such as wake-up time, sleeping time, time of departure and arrival at home, and work start and end times were compared. These events were considered important in defining the temporal constraints under which people exercise activity and travel choices. Once again, it was found that the distributions followed similar trends as long as the commuting status and the demographic characteristics of the individual were controlled for. However, there were noticeable differences that merit further investigation.

This paper appears in Transportation Research Record No. 1718, Activity Pattern Analysis and Exploration: Travel Behavior Analysis and Modeling.

English

p. 34-42

2000

Transportation Research Record

0309066972

Figures (2) ; References (14) ; Tables (3)

Alternatives analysis; Commuting; Constraints; Demographics; Travel behavior

Activity patterns; Time use patterns

Miami (Florida); San Francisco Bay Area

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

TRIS, TRB, ATRI

Oct 9 2000 12:00AM

• ACTIVITY-TRAVEL PATTERNS OF NONWORKERS IN THE SAN FRANCISCO BAY AREA: EXPLORATORY ANALYSIS
• ARE TRAVEL TIMES AND DISTANCES TO WORK GREATER FOR RESIDENTS OF POOR URBAN NEIGHBORHOODS?
• CAR OWNERSHIP IN GREAT BRITAIN: PANEL DATA ANALYSIS
• CONJOINT-BASED MODEL OF ACTIVITY ENGAGEMENT, TIMING, SCHEDULING, AND STOP PATTERN FORMATION
• DETERMINANTS OF DISTANCE THRESHOLDS FOR DRIVING
• DYNAMIC ANALYSIS OF TRAVELER ATTITUDES AND PERCEPTIONS USING PANEL DATA
• EVALUATING THE EFFECTS OF TRAVELER AND TRIP CHARACTERISTICS ON TRIP CHAINING, WITH IMPLICATIONS FOR TRANSPORTATION DEMAND MANAGEMENT STRATEGIES
• IDENTIFYING DECISION STRUCTURES UNDERLYING ACTIVITY PATTERNS: AN EXPLORATION OF DATA MINING ALGORITHMS
• MIXED GENERALIZED LINEAR MODEL FOR ESTIMATING HOUSEHOLD TRIP PRODUCTION
• MODELING LEARNING AND EVOLUTIONARY ADAPTATION PROCESSES IN ACTIVITY SETTINGS: THEORY AND NUMERICAL SIMULATIONS
• PERIOD EFFECTS AND COHORT EFFECTS IN LIFE CYCLES: PRELIMINARY ANALYSIS
• STOCHASTIC FRONTIER MODELS OF PRISM VERTICES