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Title: Stepping Closer to ABM: Hybrid 4-Step Models
Accession Number: 01662999
Record Type: Component
Abstract: It is well recognized, by both research and practical modeling communities, that Activity-Based travel demand Models (ABMs) have substantial advantages in capturing individual travel patterns and are more sensitive to different travel demand management policies compared to trip-based 4-step models. However, there is a non-negligible extra cost associated with the advancements in behavioral realism and policy sensitivity pertinent to ABMs. These models are generally characterized by a longer development cycle, substantial budget, and certain additional data requirements.Moreover, there is a learning curve for the model users to switch from a 4-step model to ABM in terms of understanding of model structure and corresponding software, input data preparation, as well as processing and interpretation of model outputs. For these reasons, many MPOs in the US (especially hundreds of smaller ones) are still using 4-step travel demand models and exhibit certain reluctance in adopting the ABM paradigm immediately.With the commonly adopted population synthesis technique which generates a population of residents of the modeled region at the fully disaggregate level it is possible to incorporate some of the benefits of ABMs in a 4-step framework, with the possibility of eventually migrating to a full ABM.Depending on an MPO’s policy requirement and resources, a hybrid 4-step model can be developed which can provide many advantages of ABMs while preserving the simplicity of the existing 4-step model system.This paper discusses various designs of hybrid models with an example of such a model developed for Jerusalem, Israel.
Supplemental Notes: This paper was sponsored by TRB committee ADB50 Standing Committee on Transportation Planning Applications.
Alternative title: Stepping Closer to ABM: Hybrid Four-Step Models.
Report/Paper Numbers: 18-02673
Language: English
Authors: Vyas, GauravVovsha, PeterGupta, SurabhiGivon, DannyBirotker, YehoshuaMossek, AmirZananiri, IssaBluer, EitanPagination: 17p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
Uncontrolled Terms: Geographic Terms: Subject Areas: Planning and Forecasting; Transportation (General)
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-02673
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:38AM
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