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Research Projects

METRANS
STATUS: Complete YEAR: 2019 TOPIC AREA: E-commerce and urban freight Transportation planning, policy, and finance CENTER: MetroFreight

The Spatial Dynamics of Amazon Lockers in Los Angeles County

Project Summary

Funding source: Volvo Research and Education Foundation (VREF) MetroFreight Center of Excellence
Project number: MF-5.4c
Funding amount: $100,000
Start and end dates: 2/1/2019 to 9/1/2019
PI: Genevieve Giuliano, USC
Co-PIs: Jiawen Fang, USC; An-Min Wu, USC

Project description

The rise of e-commerce has imposed increasing pressures on urban freight distribution systems with a significant demand for dedicated delivery services to the end consumers. Last-mile delivery, which usually happens in residential areas conducted by small vans or trucks with low speeds, raises concerns for environmental and safety issues. One of the strategies to address these problems is to set up Pick-up Point (PPs) networks or Automated Parcel (APs) systems. This research will focus on the spatial dynamics and the associated potential GHG emission reductions of Amazon Lockers, one of the most popular APs, in Los Angeles County. The location data of Amazon Lockers will be obtained by Google Map API and Python. 

Specifically, the questions to be answered include: (1) Describing the spatial distribution of lockers using spatial pattern analysis tool (Kernel density and Moran's I statistics); (2) Analyzing the socio-economic and built environmental factors that might affect the spatial distribution of Amazon Lockers using spatial regression models (Geographically Weight Regression); and (3) Predict and estimate the potential GHG emission reduction based on the spatial regression models. The results indicate that (1) There is a "three-tier-clustering" pattern based on the level of density; (2) There is a significant positive spatial autocorrelation at 99% confidence level; (3) Geographic Weighted Regression with independent variables population/internet use, income, education, walkability, transit and parking can explain 41% of the variations in dependent variables; (4) Business cooperation and spillover effects also greatly affect the locker distribution.

Project data

Project data can be accessed via Dataverse: https://doi.org/10.7910/DVN/QTUW3J


P.I. NAME & ADDRESS

Genevieve Giuliano
Professor; Margaret and John Ferraro Chair in Effective Local Government; Senior Associate Dean for Research and Technology; Director, METRANS , Sol Price School of Public Policy
650 Childs Way
Ralph and Goldy Lewis Hall (RGL) 216Los Angeles, CA 90089-0626
United States
[email protected]