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Title:

Development of Strategic Regional Employment Data Assessment using Google Places API

Accession Number:

01707979

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/issn/03611981

Abstract:

Current and accurate site-specific employment data is a critical but vexing element in research on travel behavior patterns and trends in regional economic development. Typically, no single source of data provides comprehensive and reliable coverage for a regional metropolitan area. Developing multiple employment data sources is cumbersome and time-consuming, but a procedural approach can streamline data preparation and management. This study proposes a method to assess and integrate multiple sources of employment data using Google Places API and a business existence verification model. Other techniques, including data deduplication and prioritization, address standardization, and missing employer discovery, are addressed as means to improve data accuracy and coverage.

Supplemental Notes:

The Standing Committee on Urban Transportation Data and Information Systems (ABJ30) peer-reviewed this paper (19-02386). © National Academy of Sciences: Transportation Research Board 2019.

Language:

English

Authors:

Noh, Hyunsoo
Kramer, Eric
Sun, Aichong

Pagination:

pp 254-263

Publication Date:

2019-11

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2673
Issue Number: 11
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (12)

Identifier Terms:

Google Places

Subject Areas:

Data and Information Technology; Transportation (General)

Files:

TRIS, TRB, ATRI

Created Date:

Jun 14 2019 3:05PM