TRB Pubsindex
Text Size:

Title:

INTEGRATING GEOGRAPHIC INFORMATION SYSTEMS FOR TRANSPORTATION AND AIR QUALITY MODELS FOR MICROSCALE ANALYSIS

Accession Number:

00732307

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/isbn/0309059216

Abstract:

The inherently spatial nature of transportation-related air quality analysis makes the geographic information system (GIS) particularly well suited to enhancing microscale air quality analysis. GIS provides several features ideal for the type of analysis necessary to determine transportation-related air quality impacts. It is an excellent storage, manipulation, modeling, and mapping tool for spatial data. Spatial information such as street coordinates and accompanying attributes can be exported and manipulated as input to air quality models such as CALINE3 and CAL3QHC. Output from air quality models in the form of pollution concentrations at specified receptor locations can be input to GIS for hot-spot identification, estimation of contributions of off-road mobile sources, and impact analysis. GIS tools applied to air quality analysis include contour generation, classification, thematic analysis, point-in-polygon analysis, and polygon overlay. Several case studies demonstrating these capabilities using TRANSCAD, a transportation-based GIS package, are presented for microscale air quality analysis. Incompatibilities exist between current air quality models and most GISs. Differences in coordinate systems and distance metrics necessitate additional manipulation of data transferred between models and GISs. Other incompatibilities are that street segments are represented as centerlines in most planning applications of GIS and as a series of links in CAL3QHC and CALINE3, and that signalization parameters are represented differently from many common signal-analysis packages, which may necessitate additional data collection.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1551, Innovative Transportation Data Management, Survey Methods, and Geographic Information Systems.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Hallmark, S
O'Neill, W

Pagination:

p. 133-140

Publication Date:

1996

Serial:

Transportation Research Record

Issue Number: 1551
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309059216

Features:

Figures (6) ; References (12)

Old TRIS Terms:

Subject Areas:

Data and Information Technology; Environment; Highways; Operations and Traffic Management

Files:

TRIS, TRB

Created Date:

Feb 6 1997 12:00AM

More Articles from this Serial Issue: