A New Spatial (Social) Interaction Discrete Choice Model Accommodating for Unobserved Effects due to Endogenous Network Formation
This proposal formulates a model that extends the traditional panel discrete choice model to include social/spatial dependencies in the form of dyadic interactions between each pair of decision-makers. In addition, the formulation accommodates spatial correlation effects as well as allows a global spatial structure to be placed on the individual-specific unobserved response sensitivity to exogenous variables. The project team interprets these latter two effects, sometimes referred to as spatial drift effects, as originating from endogenous group formation. To their knowledge, the project team is the first to suggest this endogenous group formation interpretation for spatial drift effects in the social/spatial interactions literature. The formulation is motivated in a travel mode choice context, but is applicable in a wide variety of other empirical contexts.
Language
- English
Project
- Status: Completed
- Funding: $20000
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Contract Numbers:
DTRT13-G-UTC58
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Bhat, Chandra
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Performing Organizations:
Data-Supported Transportation Operations and Planning Center
University of Texas at Austin
Austin, TX United States 78701 -
Principal Investigators:
Bhat, Chandra
- Start Date: 20140301
- Expected Completion Date: 20150930
- Actual Completion Date: 20150930
- Source Data: 114
Subject/Index Terms
- TRT Terms: Choice models; Discrete systems; Mode choice; Networks; Social factors; Spatial analysis
- Subject Areas: Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01580151
- Record Type: Research project
- Source Agency: Data-Supported Transportation Operations and Planning Center
- Contract Numbers: DTRT13-G-UTC58
- Files: UTC, RIP
- Created Date: Oct 29 2015 12:09PM