TY - JOUR
T1 - Reducing port-related empty truck emissions
T2 - A mathematical approach for truck appointments with collaboration
AU - Schulte, Frederik
AU - Lalla-Ruiz, Eduardo
AU - González-Ramírez, Rosa G.
AU - Voß, Stefan
PY - 2017/9
Y1 - 2017/9
N2 - Port-related emissions are a growing problem for urban areas often located directly next to maritime container terminals highly frequented by container trucks. Empty truck trips, caused by a lack of coordination among truckers, are responsible for a significant share of these emissions, and collaboration among truckers is seen as the major opportunity to address this issue. Truck appointment systems (TASs) schedule truck activities and enable collaboration for transportation between terminals and client locations. The aim of this work is to introduce a collaborative planning model to be operated within a TAS and to investigate its impact on emission and cost objectives. Starting with a review of requirements for a TAS with collaboration, an optimization model based on the multiple traveling salesman problem with time windows is developed, leveraging collaboration to reduce costs and emissions. The results for a real-world case demonstrate that the developed approach provides appropriately coordinated truck schedules and effectively reduces truck emissions and costs.
AB - Port-related emissions are a growing problem for urban areas often located directly next to maritime container terminals highly frequented by container trucks. Empty truck trips, caused by a lack of coordination among truckers, are responsible for a significant share of these emissions, and collaboration among truckers is seen as the major opportunity to address this issue. Truck appointment systems (TASs) schedule truck activities and enable collaboration for transportation between terminals and client locations. The aim of this work is to introduce a collaborative planning model to be operated within a TAS and to investigate its impact on emission and cost objectives. Starting with a review of requirements for a TAS with collaboration, an optimization model based on the multiple traveling salesman problem with time windows is developed, leveraging collaboration to reduce costs and emissions. The results for a real-world case demonstrate that the developed approach provides appropriately coordinated truck schedules and effectively reduces truck emissions and costs.
KW - Collaboration
KW - Empty trips
KW - Optimization model
KW - Port emissions
KW - Truck appointment system
UR - http://www.scopus.com/inward/record.url?scp=85018188008&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2017.03.008
DO - 10.1016/j.tre.2017.03.008
M3 - Article
AN - SCOPUS:85018188008
SN - 1366-5545
VL - 105
SP - 195
EP - 212
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
ER -