Using Geospatial Solutions to Improve Survey Listing Methodology

Authors: Michael Giangrande*, Westat, J Michael Brick, Westat, David Morganstein, Westat, Katie Lewis, U.S. Energy Information Administration (EIA)
Topics: Geographic Information Science and Systems, Applied Geography, Energy
Keywords: GIS, Geographic Information Systems, survey listing, area probability sample, virtual listing, geospatial, Google API, Google StreetView
Session Type: Paper
Day: 4/5/2019
Start / End Time: 1:10 PM / 2:50 PM
Room: Roosevelt 7, Marriott, Exhibition Level
Presentation File: No File Uploaded


As computing power and data storage have grown, geospatial technology has become increasingly pervasive, leading to opportunities for geographers to introduce advances in research and data collection methodology that traditionally required manual, on-the-ground (OTG) methods. In this paper, we discuss how various geospatial resources, such as those provided by Google and other commercial vendors, were used to conduct a virtual listing of commercial buildings. The virtual listing method was used to remotely capture building information and replace traditional OTG methods in certain areas of the country resulting in a frame for the 2018 Commercial Buildings Energy Consumption Survey, a survey conducted periodically for the U.S. Energy Information Administration. To evaluate this new methodology, the research design included a dual listing activity where specific areas were independently listed both virtually and using traditional OTG methods. The coverage, accuracy, and efficiency estimates for both approaches were evaluated and compared, and the results are presented in this paper.

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