A comprehensive representation and analysis framework for trip chaining activity pattern modeling for travel behavior of individuals with fixed activities

2006 2006

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Abstract (summary)

This research develops a combined qualitative and quantitative activity based analysis methodologies framework for integrated fixed activity chaining schedules (IFACS). What is central to my dissertation is the extent to which the type, sequence, duration, and timing of fixed activities influence trip chaining. The goal is to improve the practice of travel behavior forecasting by modeling the activity patterns and chaining behavior of individuals with restricted schedules. Cluster analysis methods are applied to narrow down the endless possibilities of individual trip decision-making into a manageable group. Then space-time prism concepts are applied to locate unique activity travel patterns. Qualitative examples show that aggregate and individual trip-chaining behaviors are not easy to model. Informed by the qualitative analysis results, the framework incorporates both discrete choice and time-to-event models as quantitative analysis tools. The quantitative models cover two levels of chaining: trip link and whole journey. Logit models are used to analyze the choice to make a chained link right after the completion of an activity, and the decision to conduct a chained journey. Poisson models are used to examine the decision to make a number of chained links on a journey. Hazard-based duration models are used to analyze time of chaining events by studying the duration of a chained journey, then the duration of time elapsed till a chained link is made right after a fixed activity with the goal of defining a time threshold to the occurrence of trip chaining. Integrating results from qualitative and quantitative methods leads to a better understanding of how people make their trip-chaining and travel behavior decisions. Data from the 1998 Mobidrive six-week travel diary survey is used in the analyses. This framework focuses on the effects of five types of fixed activities on trip-chaining behavior: work, work-related, school, further education, and club/group meetings. Understanding factors influencing a person's decision to participate in a trip chain allows motivations behind trip-chaining behavior to become more tangible. One of the highlights of the analysis results of the modeling framework is discovering that the chaining behavior of individuals is influenced in different ways among different population subgroups.

Indexing (details)

Urban planning;
Area planning & development;
Operations research
0709: Transportation
0999: Urban planning
0999: Area planning & development
0796: Operations research
Identifier / keyword
Social sciences; Applied sciences; Activity pattern modeling; Fixed activities; Germany; Travel behavior; Trip chaining
A comprehensive representation and analysis framework for trip chaining activity pattern modeling for travel behavior of individuals with fixed activities
Al-Jammal, Rana
Number of pages
Publication year
Degree date
School code
DAI-A 67/04, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Parkany, Emily
University of Massachusetts Amherst
University location
United States -- Massachusetts
Source type
Dissertations & Theses
Document type
Dissertation/thesis number
ProQuest document ID
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
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