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Title:

Latent Class Analysis of Residential and Work Location Choices

Accession Number:

01629797

Record Type:

Component

Abstract:

This paper developed a two-stage modeling framework for analyzing residential and work location choices with probabilistic choice sets. In the first stage, a household (or a worker) was assumed to select a neighborhood (such as central business district, urban, suburban etc.) to live (or work). In the second stage, the household (or worker) was assumed to choose a specific zone conditional on the selected neighborhood. The neighborhood choice model component takes the form of Manski model with latent choice sets. The model was used to analyze residential and work location decisions in Nashville, Tennessee. The model results indicate significant heterogeneity in the consideration probability of different neighborhood alternatives both in the residential and work location choices.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-06430

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Paleti, Rajesh
Mishra, Sabyasachee
Haque, Khademul
Sarker, Afrid A
Gkolias, Mihalis M
Chen, Chin-Cheng

Pagination:

17p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-06430

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:37PM