ArticleInternational journal of environmental research and public health2021
Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Optimizing sustainable healthcare location routing problem: Incorporating triage, automated medicine lockers, and soft time windows.PloS one · 2026Article
- Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation.International journal of environmental research and public health · 2022Article
- Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London.International journal of environmental research and public health · 2022Article
- Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade.European transport research review · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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