The Spatial Dynamics of Amazon Lockers in Los Angeles County

Fang, Jiawen; Giuliano, Genevieve; Wu, An-Min; University of Southern California, Los Angeles; METRANS Transportation Center (Calif.); MetroFreight (Volvo Center for Excellence)

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The Spatial Dynamics of Amazon Lockers in Los Angeles County

2019-10-01
By Fang, Jiawen ; Giuliano, Genevieve ; Wu, An-Min

[PDF-1.82 MB]

English

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Creators:

Fang, Jiawen ; Giuliano, Genevieve ; Wu, An-Min

Fang, Jiawen ; Giuliano, Genevieve ; Wu, An-Min Less -
Corporate Creators:

University of Southern California, Los Angeles ; METRANS Transportation Center (Calif.) ; MetroFreight (Volvo Center for Excellence)

University of Southern California, Los Angeles ; METRANS Transportation Center (Calif.) ; MetroFreight (Volvo Center for Excellence) Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Cluster Analysis E-commerce Electronic Commerce Freight Transportation Greenhouse Gases Home Delivery Last Mile Delivery Locker Banks Regression Analysis Spatial Analysis Sustainable Development Urban Goods Movement
Publication/ Report Number:

MF-5.4c, MF-5.4c
Resource Type:

Tech Report
Geographical Coverage:

Los Angeles (California) ; United States

Los Angeles (California) ; United States Less -
Edition:

Final report (Feb. 2019–Oct. 2019)
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

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.
Format:

PDF
Funding:

USDOT Grant 69A3551747109
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:6b767962e46040dd66953df0b4a9b292ecba155de04f0ad9deea644da71e7105
Download URL:

https://rosap.ntl.bts.gov/view/dot/68178/dot_68178_DS1.pdf
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The Spatial Dynamics of Amazon Lockers in Los Angeles County

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