Estimating Local Daytime Population Density from Census and Payroll Data

Regional Studies, Forthcoming

6 Pages Posted: 17 Jun 2018

See all articles by Geoff Boeing

Geoff Boeing

University of Southern California - Sol Price School of Public Policy

Date Written: May 17, 2018

Abstract

Daytime population density reflects where people commute and spend their waking hours. It carries significant weight as urban planners and engineers site transportation infrastructure and utilities, plan for disaster recovery, and assess urban vitality. Various methods with various drawbacks exist to estimate daytime population density across a metropolitan area, such as using census data, travel diaries, GPS traces, or publicly available payroll data. This study estimates the San Francisco Bay Area's tract-level daytime population density from US Census and LEHD LODES data. Estimated daytime densities are substantially more concentrated than corresponding nighttime population densities, reflecting regional land use patterns. We conclude with a discussion of biases, limitations, and implications of this methodology.

Keywords: GIS, Spatial Analysis, Population, Density, Data Science, Visualization, LEHD, LODES, Census

JEL Classification: J10, R12, R14, R20, R30, R40

Suggested Citation

Boeing, Geoff, Estimating Local Daytime Population Density from Census and Payroll Data (May 17, 2018). Regional Studies, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3180265

Geoff Boeing (Contact Author)

University of Southern California - Sol Price School of Public Policy ( email )

Los Angeles, CA 90089-0626
United States

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