Decarbonizing Industrial Logistics Through a GIS-Based Approach for Identifying Pareto-Optimal Combined Road-Rail Transport Routes
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Towards a Smart, Resilient and Sustainable Industry: Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 . ed. / Yuri Borgianni; Dominik T. Matt; Margherita Molinaro; Guido Orzes. 2023. p. 372-383 (Lecture Notes in Networks and Systems; Vol. 745 LNNS).
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
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TY - CHAP
T1 - Decarbonizing Industrial Logistics Through a GIS-Based Approach for Identifying Pareto-Optimal Combined Road-Rail Transport Routes
AU - Miklautsch, Philipp
AU - Woschank, Manuel
N1 - Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/8/4
Y1 - 2023/8/4
KW - combined transport
KW - geographic information system
KW - industrial logistics
KW - rail
UR - http://www.scopus.com/inward/record.url?scp=85171990769&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-38274-1_31
DO - 10.1007/978-3-031-38274-1_31
M3 - Chapter
AN - SCOPUS:85171990769
SN - 978-3-031-38273-4
T3 - Lecture Notes in Networks and Systems
SP - 372
EP - 383
BT - Towards a Smart, Resilient and Sustainable Industry
A2 - Borgianni, Yuri
A2 - Matt, Dominik T.
A2 - Molinaro, Margherita
A2 - Orzes, Guido
T2 - Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023
Y2 - 22 June 2023 through 23 June 2023
ER -