Shipment-based urban freight emission calculation

S. Thoen; M.A. de Bok; L. Tavasszy

doi:10.1109/FISTS46898.2020.9264858

Shipment-based urban freight emission calculation

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

In this paper we present a methodology to more accurately calculate emissions in regional freight transportation models by taking the loading rate of vehicles into account in the emission factors. This is done by incorporating the shipment-based demand data from a multi-agent simulation framework into the route assignment. In a case study we show that disregarding the vehicle loading rate can lead to underestimations of the amount of pollutant gasses. The application of this methodology in combination with a multi-agent simulation model allows to simulate impacts of changes in logistics behavior, such as vehicle type use or the scheduling of round tours, on emissions more accurately.

Original language	English
Title of host publication	2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)
Subtitle of host publication	November 3-5, 2020, Delft - The Netherlands
Publisher	IEEE
Pages	372-377
Number of pages	6
ISBN (Electronic)	978-1-7281-9503-2
DOIs	https://doi.org/10.1109/FISTS46898.2020.9264858
Publication status	Published - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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10.1109/FISTS46898.2020.9264858

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Cite this

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title = "Shipment-based urban freight emission calculation",

abstract = "In this paper we present a methodology to more accurately calculate emissions in regional freight transportation models by taking the loading rate of vehicles into account in the emission factors. This is done by incorporating the shipment-based demand data from a multi-agent simulation framework into the route assignment. In a case study we show that disregarding the vehicle loading rate can lead to underestimations of the amount of pollutant gasses. The application of this methodology in combination with a multi-agent simulation model allows to simulate impacts of changes in logistics behavior, such as vehicle type use or the scheduling of round tours, on emissions more accurately.",

author = "S. Thoen and {de Bok}, M.A. and L. Tavasszy",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2020",

doi = "10.1109/FISTS46898.2020.9264858",

language = "English",

pages = "372--377",

booktitle = "2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)",

publisher = "IEEE",

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AU - Thoen, S.

AU - de Bok, M.A.

AU - Tavasszy, L.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2020

Y1 - 2020

N2 - In this paper we present a methodology to more accurately calculate emissions in regional freight transportation models by taking the loading rate of vehicles into account in the emission factors. This is done by incorporating the shipment-based demand data from a multi-agent simulation framework into the route assignment. In a case study we show that disregarding the vehicle loading rate can lead to underestimations of the amount of pollutant gasses. The application of this methodology in combination with a multi-agent simulation model allows to simulate impacts of changes in logistics behavior, such as vehicle type use or the scheduling of round tours, on emissions more accurately.

AB - In this paper we present a methodology to more accurately calculate emissions in regional freight transportation models by taking the loading rate of vehicles into account in the emission factors. This is done by incorporating the shipment-based demand data from a multi-agent simulation framework into the route assignment. In a case study we show that disregarding the vehicle loading rate can lead to underestimations of the amount of pollutant gasses. The application of this methodology in combination with a multi-agent simulation model allows to simulate impacts of changes in logistics behavior, such as vehicle type use or the scheduling of round tours, on emissions more accurately.

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DO - 10.1109/FISTS46898.2020.9264858

M3 - Conference contribution

SP - 372

EP - 377

BT - 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)

PB - IEEE

ER -

Shipment-based urban freight emission calculation

Abstract

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