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Title: Feasibility of using time-space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments
Accession Number: 01372951
Record Type: Component
Abstract: Using Hägerstrand’s original framework of time geography and subsequent time-space prism computational methods form the foundation of a new computational method for potential path areas (PPA) in a real environment. In this paper time-space prism is used to assess sensitivity of PPA size to different parameters and to build choice sets for regional destination choice models. The authors explain the implication of different parameters to choice set formation in a step-wise manner and illustrate not only the complexity of the idea and the high computational demand but also behavioral realism. In this context, this paper tests the feasibility of using constraint-based time-space prism to find the choice sets for a large-scale destination choice model, and identifies a variety of implementation issues. Computational demand is estimated based on a household travel survey for the Southern California Association of Government, and the feasibility of using time-space prism for destination choice models is assessed with different levels of information on the network and destinations available. The implications of time of day effects and flexibility in scheduling on choice set building due to time-of-day varying level of service on the network and availability of activity opportunities are discussed and numerically assessed.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2707
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Yoon, Seo YounDeutsch, KathleenChen, YaliGoulias, Konstadinos GPagination: 21p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References; Tables
TRT Terms: Identifier Terms: Uncontrolled Terms: Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2707
Files: TRIS, TRB
Created Date: Feb 8 2012 5:11PM
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