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Title: One Activity-Based Travel Model for Four Cities: Experience of ABM Estimation on a Pooled Data Set of Multiple Surveys
Accession Number: 01593649
Record Type: Component
Abstract: The paper describes the recent experience with using multiple Household Travel Surveys (HTSs) for development of an advanced Activity‐Based travel Model (ABM) for four major cities in Ohio simultaneously. The data consisted of four different HTS conducted for the regions of Columbus (5,555 households in 1999), Dayton (1,950 households in 2001), Cincinnati (2,050 households in 2009‐10) and Cleveland (4,540 households in 2012‐13). The data was consolidated in a pooled dataset by combining all available HTSs and other complementary data sources including socio‐economic data, land‐use data, and transportation Level‐of‐Service (LOS) data. The main principle of this effort was to develop all behavioral sub‐models of the ABM in the most generic way possible such that they are transferable between the regions with no or minimal adjustment. However, some sub‐models proved to be not fully transferable between the regions; thus a region specific specifications or segmentation of parameters (fully or partially) was necessary. The paper also provides overall experience of estimating different sub‐models with a pooled dataset and general assessment of transferability of some of the models across regions in the context of advanced travel modeling. The findings are summarized with respect to the spatial transferability of different sub‐models and classifies sub‐models that can be transferred vs. the ones which need some level of region‐ specific adjustments. Additionally, strengths and weaknesses of different HTSs were quite clearly seen and the corresponding recommendations for future HTSs were made.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
Monograph Title: Monograph Accession #: 01584066
Report/Paper Numbers: 16-6172
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Gupta, SurabhiVyas, GauravVovsha, Peter SAnderson, RebekahGiaimo, GregPagination: 19p
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: Uncontrolled Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting
Source Data: Transportation Research Board Annual Meeting 2016 Paper #16-6172
Files: TRIS, TRB, ATRI
Created Date: Jan 12 2016 6:43PM
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