Development of Strategic Regional Employment Data Assessment using Google Places API

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.

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  • 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.
  • Authors:
    • Noh, Hyunsoo
    • Kramer, Eric
    • Sun, Aichong
  • Publication Date: 2019-11

Language

  • English

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Filing Info

  • Accession Number: 01707979
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Jun 14 2019 3:05PM