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Export Reference (APA)
Ferreira, J., Albuquerque, V., Pereira, F., Rocha, J. & Dias, J. (2023). Sustainability measurement in a logistics transportation company. In Transportation Research Procedia. (pp. 48-55).: Elsevier.
Export Reference (IEEE)
J. C. Ferreira et al.,  "Sustainability measurement in a logistics transportation company", in Transportation Research Procedia, Elsevier, 2023, vol. 72, pp. 48-55
Export BibTeX
@inproceedings{ferreira2023_1716157656243,
	author = "Ferreira, J. and Albuquerque, V. and Pereira, F. and Rocha, J. and Dias, J.",
	title = "Sustainability measurement in a logistics transportation company",
	booktitle = "Transportation Research Procedia",
	year = "2023",
	editor = "",
	volume = "72",
	number = "",
	series = "",
	doi = "10.1016/j.trpro.2023.11.321",
	pages = "48-55",
	publisher = "Elsevier",
	address = "",
	organization = "",
	url = "https://pdf.sciencedirectassets.com/308315/1-s2.0-S2352146523X00064/1-s2.0-S235214652300618X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjENT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCCHN77k3bROmPQGf0kO0X%2Fv9Apv4SkBa3I3%2FqdJC%2FVvgIgM9ARdLPA9QJq8fcnOTFqENyYrR6ILOKCEywV%2FNGB72cqswUITRAFGgwwNTkwMDM1NDY4NjUiDGBjLA%2FMM1aVvRY%2FmSqQBfnp3wu1mZOG8ffeTA4efeGnvkJqE4MePZ%2BuNNJaHFbXrRF8EPwBAAF3wQ4kjfeJogYtW7QkeZOjbtL3DM5Y5NbiHsNv2ab9PEitpEUEy8e8tzK02tQHM40N3yitCjg%2FAcaO8rHbfH8hzUsoUCdfrtirpY2PydLCs6KK9xGHo6D93lMu89%2B8sxXuQOUt3Nqiyt8FSAdaw7o%2BkCGU8cLIndebk5ifdaohtKAPwmv9jkd2SFNOL8y3pSlJVZ94yobFfabtG7aF75UXdOaIjwXfc296aQx%2BcqtLrzNtG1cOmqqbQ3KHppAVJeBkQ0NJ9F6RHZXQ67rr0wv%2FNKj%2BWC0HdJeRM%2Bc50i6ArumPwk9c7G4NnoGw%2FoMAxKN%2Fw36LP%2BzqQU%2BA5rpov8Ik3H8s6nAPjk6d5tkq6bb%2FiXIo1XtoIQgHPfLtpwa%2BlBajtPudBmL%2FjymTfXAyUiiJu2uM2IhH9cTmX5wrahI%2Fr9Ch8in52wAweMrngDsMVWtgY3xjwhKpB3QdM457828Y%2BOiF4ptcjZ2e6B1EtGFjmzuPVGCw9kT0gjoZj%2F%2BepoFaMTE8bzkbw6vBqiQj%2F7Ao0a30G%2FBvWOl3VYdy2Bs7rl%"
}
Export RIS
TY  - CPAPER
TI  - Sustainability measurement in a logistics transportation company
T2  - Transportation Research Procedia
VL  - 72
AU  - Ferreira, J.
AU  - Albuquerque, V.
AU  - Pereira, F.
AU  - Rocha, J.
AU  - Dias, J.
PY  - 2023
SP  - 48-55
SN  - 2352-1465
DO  - 10.1016/j.trpro.2023.11.321
UR  - https://pdf.sciencedirectassets.com/308315/1-s2.0-S2352146523X00064/1-s2.0-S235214652300618X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjENT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCCHN77k3bROmPQGf0kO0X%2Fv9Apv4SkBa3I3%2FqdJC%2FVvgIgM9ARdLPA9QJq8fcnOTFqENyYrR6ILOKCEywV%2FNGB72cqswUITRAFGgwwNTkwMDM1NDY4NjUiDGBjLA%2FMM1aVvRY%2FmSqQBfnp3wu1mZOG8ffeTA4efeGnvkJqE4MePZ%2BuNNJaHFbXrRF8EPwBAAF3wQ4kjfeJogYtW7QkeZOjbtL3DM5Y5NbiHsNv2ab9PEitpEUEy8e8tzK02tQHM40N3yitCjg%2FAcaO8rHbfH8hzUsoUCdfrtirpY2PydLCs6KK9xGHo6D93lMu89%2B8sxXuQOUt3Nqiyt8FSAdaw7o%2BkCGU8cLIndebk5ifdaohtKAPwmv9jkd2SFNOL8y3pSlJVZ94yobFfabtG7aF75UXdOaIjwXfc296aQx%2BcqtLrzNtG1cOmqqbQ3KHppAVJeBkQ0NJ9F6RHZXQ67rr0wv%2FNKj%2BWC0HdJeRM%2Bc50i6ArumPwk9c7G4NnoGw%2FoMAxKN%2Fw36LP%2BzqQU%2BA5rpov8Ik3H8s6nAPjk6d5tkq6bb%2FiXIo1XtoIQgHPfLtpwa%2BlBajtPudBmL%2FjymTfXAyUiiJu2uM2IhH9cTmX5wrahI%2Fr9Ch8in52wAweMrngDsMVWtgY3xjwhKpB3QdM457828Y%2BOiF4ptcjZ2e6B1EtGFjmzuPVGCw9kT0gjoZj%2F%2BepoFaMTE8bzkbw6vBqiQj%2F7Ao0a30G%2FBvWOl3VYdy2Bs7rl%
AB  - We present a preliminary study to the Decision Support System for Sustainable Logistics Transportation, using as case study, the Portuguese logistics transportation company Santos e Vale. In the last five years, it has reduced its fleet carbon footprint by 20%. Our research presents a systematic literature review of indicators, carbon footprint models, and reduction measures associated to the sector, using the PRISMA method. Moreover, we considered the application of methodologies and analytical models to measure the logistic transportation carbon footprint, such as in Greenhouse Gas Protocol, ISO 14064 and EN 16258. Our aim is twofold:(1) provision of standard methodologies and analytical models targeting the reduction of carbon footprint in logistics transportation, to a more sustainable operation;(2) future development of a Decision Support System, to assist the monitoring over time.

ER  -