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Title:

A Comprehensive Dwelling Unit Choice Model Accommodating Psychological Constructs within a Search Strategy for Consideration Set Formation

Accession Number:

01594282

Record Type:

Component

Abstract:

This study adopts a dwelling unit level of analysis and models a complete range of dwelling unit choices. The proposed analytic framework is applied to study housing choices using data derived from the 2009 American Housing Survey (AHS).

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: Comprehensive Dwelling Unit Choice Model Accommodating Psychological Constructs Within a Search Strategy for Consideration Set Formation. Alternate abstract: This study adopts a dwelling unit level of analysis and models a complete range of dwelling unit choices that include tenure type (rent or own), housing type (single family detached, single family attached, or apartment complex), number of bedrooms, number of bathrooms, number of storeys (one or multiple), square footage of the house, lot size, housing costs, density of residential neighborhood, and commute distance. Bhat’s (2015a) generalized heterogeneous data model (GHDM) system is used to accommodate the different types of dependent outcomes associated with housing choices, while capturing jointness caused by unobserved factors. The proposed analytic framework is applied to study housing choices using data derived from the 2009

Monograph Accession #:

01584066

Report/Paper Numbers:

16-5715

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Bhat, Chandra R

ORCID 0000-0002-0715-8121

Pagination:

20p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-5715

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:31PM