Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA

Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simul...

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Main Authors:	Maren Schnieder, Christopher Hinde, Andrew West
Format:	Default Article
Published:	2021
Subjects:	last-mile delivery city logistics emissions pollution collection and delivery point parcel locker HBEFA PM10 non-exhaust emissions cold-start emissions
Online Access:	https://hdl.handle.net/2134/14812947.v1
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id	rr-article-14812947
record_format	Figshare
spelling	rr-article-148129472021-06-11T00:00:00Z Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA Maren Schnieder (4352662) Christopher Hinde (1258023) Andrew West (1259121) last-mile delivery city logistics emissions pollution collection and delivery point parcel locker HBEFA PM10 non-exhaust emissions cold-start emissions Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simulating the emissions caused by parcel delivery to lockers are summarized. Secondly, a demand model for parcel deliveries in New York City (NYC) is created for 365 days and delivery trips to lockers and homes are optimized for 20 “real-world” scenarios. Thirdly, using the emission factors included in the HandBook Emission Factors for Road Transport (HBEFA) database, the maximum percentage of customers who could pick up a parcel by car from parcel lockers that would result in fewer total emissions (driving customers + walking customers) than if home deliveries were adopted is calculated for various pollutants and scenario assumptions (i.e., street types, temperature, parking duration, level of service and vehicle drivetrain). This paper highlights how small changes in the calibration can significantly change the results and therefore using average values for emission factors or only considering one pollutant like most studies may not be appropriate. 2021-06-11T00:00:00Z Text Journal contribution 2134/14812947.v1 https://figshare.com/articles/journal_contribution/Sensitivity_analysis_of_emission_models_of_parcel_lockers_vs_home_delivery_based_on_HBEFA/14812947 CC BY 4.0
institution	Loughborough University
collection	Figshare
topic	last-mile delivery city logistics emissions pollution collection and delivery point parcel locker HBEFA PM10 non-exhaust emissions cold-start emissions
spellingShingle	last-mile delivery city logistics emissions pollution collection and delivery point parcel locker HBEFA PM10 non-exhaust emissions cold-start emissions Maren Schnieder Christopher Hinde Andrew West Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
description	Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simulating the emissions caused by parcel delivery to lockers are summarized. Secondly, a demand model for parcel deliveries in New York City (NYC) is created for 365 days and delivery trips to lockers and homes are optimized for 20 “real-world” scenarios. Thirdly, using the emission factors included in the HandBook Emission Factors for Road Transport (HBEFA) database, the maximum percentage of customers who could pick up a parcel by car from parcel lockers that would result in fewer total emissions (driving customers + walking customers) than if home deliveries were adopted is calculated for various pollutants and scenario assumptions (i.e., street types, temperature, parking duration, level of service and vehicle drivetrain). This paper highlights how small changes in the calibration can significantly change the results and therefore using average values for emission factors or only considering one pollutant like most studies may not be appropriate.
format	Default Article
author	Maren Schnieder Christopher Hinde Andrew West
author_facet	Maren Schnieder Christopher Hinde Andrew West
author_sort	Maren Schnieder (4352662)
title	Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
title_short	Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
title_full	Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
title_fullStr	Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
title_full_unstemmed	Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA
title_sort	sensitivity analysis of emission models of parcel lockers vs. home delivery based on hbefa
publishDate	2021
url	https://hdl.handle.net/2134/14812947.v1
_version_	1797549492410515456

Sensitivity analysis of emission models of parcel lockers vs. home delivery based on HBEFA

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