The uniqueness of these empirical data in their full coverage of travel modes, site-to-site travel trace and concurrent tracing of activity scheduling and execution, they were used for explicitly exploring traveler's routing choices, scheduling pattern and modeling the linkages (congruence and deviation relations) between the actual activity implementation and activity schedules with respect to the participants' social-demographic characteristics and recorded schedule/activity/travel attributes. Using a binary logistic modeling approach, the research revealed that people's routing behavior varies with gender, travel distance, different travel modes and activity categories. By exploratory statistics and missing value analysis, the research showed that activity scheduling behavior does not apply to activity categories in an equivalent way. Finally, the activity participation choice and start time decision making as revealed in the collected dataset were coalesced into a two-stage decisi.... privacy invasion. Thanks to the reduced size and detachment of the computing device with a fixed location power supply (either an inwall socket or a car cigarette lighter), scheduling/travel/activity data collection with 167 Conclusion Summary.
|Title||:||Empirical Tracking and Analysis of the Dynamics in Activity Scheduling and Schedule Execution|
|Author||:||Jianyu (Jack). Zhou|
|Publisher||:||ProQuest - 2006|