An evaluation methodology for city logistics
Eiichi Taniguchi, R.E.C.M. van der Heijden
Abstract
Eiichi Taniguchi, R.E.C.M. van der Heijden
Abstract
This paper presents a methodology for evaluating city logistics initiatives using a dynamic traffic simulation with optimal routing and scheduling. This methodology was applied to a test road network. The performance of three city logistics initiatives, advanced routing and scheduling systems, cooperative freight transport systems and load factor controls were assessed in terms of total costs and CO2 emissions by pickup/delivery trucks operations within the network. Results indicated that these initiatives were not only effective for reducing total costs, but also for CO2 emissions. The methodology presented here allows city planners to quantitatively evaluate city logistics initiatives.
OpenAlex reports 218 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper presents a methodology for evaluating city logistics initiatives using a dynamic traffic simulation with optimal routing and scheduling. This methodology was applied to a test road network. The performance of three city logistics initiatives, advanced routing and scheduling systems, cooperative freight transport systems and load factor controls were assessed in terms of total costs and CO2 emissions by pickup/delivery trucks operations within the network. Results indicated that these initiatives were not only effective for reducing total costs, but also for CO2 emissions. The methodology presented here allows city planners to quantitatively evaluate city logistics initiatives.
Key concepts: City logistics, Truck, Transport engineering, Scheduling (production processes), Vehicle routing problem, Traffic management, Routing (electronic design automation), Operations research