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Title: Escort Patterns in Dual-Worker Households with Students: A Comparison between Individual and Group Decision Making Mechanism
Accession Number: 01593591
Record Type: Component
Abstract: Individuals have been regarded as independent decision makers in the majority of transportation analysis. However, individual behaviors are usually affected by the interactions between the members in group decisions; and consequently, individual decision making paradigm could result in less-accurate predictions. Besides, as the data used for travel demand modeling typically comes from household level surveys, the idea of random sampling holds at household level and not the individual; and therefore, individual information would not be consistent with the theory of the discrete choice models when the household is the actual sampling unit. The present paper aims at modeling the way that parents accompany the children on their school trips, in dual-worker households with at least one under-18-year-old student. Two modeling approach are adopted to compare accuracy of a group decision modeling method versus a conventional individual framework. The results indicate that more than 25 percent (20 percent) of the correct predictions will be missed in trips to (from) school, when the conventional individual decision making procedure is adopted rather than the group decision making paradigm. This underscores the significance of implementing group decision making paradigms when the context requires.
Supplemental Notes: This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
Alternate title: Escort Patterns in Dual-Worker Households with Students: Comparison Between Individual and Group Decision-Making Mechanism.
Monograph Title: Monograph Accession #: 01584066
Report/Paper Numbers: 16-6674
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Rahmati, YaldaSamimi, AmirPagination: 15p
Publication Date: 2016
Conference:
Transportation Research Board 95th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2016 Paper #16-6674
Files: TRIS, TRB, ATRI
Created Date: Jan 12 2016 6:54PM
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