TY - JOUR
T1 - Sustainability measurement in a logistics transportation company
AU - Albuquerque, Vitória
AU - Pereira, Fábio
AU - Rocha, João
AU - Dias, Miguel Sales
AU - Ferreira, João Carlos
N1 - Albuquerque, V., Pereira, F., Rocha, J., Dias, M. S., & Ferreira, J. C. (2023). Sustainability measurement in a logistics transportation company. Transportation Research Procedia, 72, 48-55. https://doi.org/10.1016/j.trpro.2023.11.321
PY - 2023/12/13
Y1 - 2023/12/13
N2 - 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.
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.
KW - Carbon footprint
KW - Logistic transportation
KW - Sustainability
KW - Standards
UR - http://www.scopus.com/inward/record.url?scp=85182932785&partnerID=8YFLogxK
U2 - 10.1016/j.trpro.2023.11.321
DO - 10.1016/j.trpro.2023.11.321
M3 - Conference article
AN - SCOPUS:85182932785
SN - 2352-1457
VL - 72
SP - 48
EP - 55
JO - Transportation Research Procedia
JF - Transportation Research Procedia
T2 - Transport Research Arena, “Moving together – reimagining mobility worldwide”
Y2 - 14 November 2022 through 17 November 2022
ER -
