Estimating Small Area Demand for Online Package Delivery

14 Pages Posted: 31 Dec 2019

See all articles by Tayo Fabusuyi

Tayo Fabusuyi

University of Michigan at Ann Arbor - Transportation Research Institute; Numeritics

Richard Twumasi-boakye

affiliation not provided to SSRN

Andrea Broaddus

affiliation not provided to SSRN

James Fishelson

affiliation not provided to SSRN

Robert Hampshire

University of Michigan at Ann Arbor - Transportation Research Institute

Date Written: December 10, 2019

Abstract

Using publicly available microdata sets, we show how estimates for online delivery purchases can be generated for granular areas and how the estimates vary across small geographic areas defined in our study as micro analysis zones (MAZ).With a focus on Miami-Dade County, we use both the national household travel survey (NHTS) data and synthetic data obtained from Southeast Florida Regional Planning Model (SERPM) to generate demand estimates of online delivery purchases for more than 5,300 distinct geographic units in Miami-Dade County. We validate our results by comparing our estimates with the population estimates obtained from the NHTS survey data and by benchmarking our estimates with the locations of Amazon lockers. Our approach fills a void in the area of purchases of online delivery items where rich observable data are typically unavailable and also provides the added potential benefit of easily replicating this study nationwide given its emphasis on the use of publicly available data.

Keywords: online delivery, package delivery, small area estimation, National Household Travel Survey, synthetic population, Miami-Dade County

Suggested Citation

Fabusuyi, Tayo and Twumasi-boakye, Richard and Broaddus, Andrea and Fishelson, James and Hampshire, Robert, Estimating Small Area Demand for Online Package Delivery (December 10, 2019). Available at SSRN: https://ssrn.com/abstract=3501266 or http://dx.doi.org/10.2139/ssrn.3501266

Tayo Fabusuyi (Contact Author)

University of Michigan at Ann Arbor - Transportation Research Institute ( email )

2901 Baxter Road
Ann Arbor, MI 48109
United States

Numeritics ( email )

5907 Penn Avenue
Suite 313
Pittsburgh, PA 15206

Richard Twumasi-boakye

affiliation not provided to SSRN

Andrea Broaddus

affiliation not provided to SSRN

James Fishelson

affiliation not provided to SSRN

Robert Hampshire

University of Michigan at Ann Arbor - Transportation Research Institute ( email )

2901 Baxter Road
Ann Arbor, MI 48109
United States

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