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Title:

Accuracy of Geoimputation: An Approach to Capture Microenvironment

Accession Number:

01475584

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/170271.aspx

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Order URL: http://worldcat.org/isbn/9780309286985

Abstract:

The role of the built environment in travel behavior has seen increased interest by strategic transportation planners. To capture relationships between travel behavior and the built environment, microenvironment variables representing infrastructure and land uses surrounding trip origins and destinations are being used as explanatory variables in travel demand models. Buffers of various sizes can be created around origins or destinations to capture the microenvironments. A key requirement is knowledge of the exact coordinates (latitude and longitude) of trip locations. However, such information is commonly removed from public use data because of privacy concerns. To assess whether synthetic geoimputed residences can overcome the removal of exact location information, two data sets from activity-based travel surveys in North Carolina (Research Triangle survey, N = 4,724, and Charlotte survey, N = 3,310) were analyzed. The fundamental question was whether the geoimputed microenvironmental measurements could be used to model travel behavior sufficiently and accurately. Residences, geoimputed residences, and residences assumed to be located at centroids of census blocks (as is current practice) were compared. The data indicate that (a) the assignment of census block centroids results in statistically significant systematic errors when the accessibility measures are measured; (b) geoimputation based on the level of the traffic analysis zone can provide reasonably accurate accessibility measures in larger buffer sizes of 0.75 mi but not in smaller buffers of 0.25 mi; and (c) geoimputation based on census block level provides accessibility measures that are sufficiently accurate for specifying travel behavior models.

Monograph Accession #:

01506861

Report/Paper Numbers:

13-0700

Language:

English

Authors:

Wang, Xin
Khattak, Asad
Chen, Juyin

Pagination:

pp 10–19

Publication Date:

2013

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2382
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309286985

Media Type:

Print

Features:

Figures (3) ; References (27) ; Tables (4)

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:15PM

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