An effective pricing model for the congestion alleviation of e-commerce logistics

Mu-Chen Chen*, Pei Ju Wu, Yu Han Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


E-retailers and home delivery companies have struggled with logistics congestion. Hence, this study aims to develop a pricing model for alleviation of congestion in e-commerce logistics. The analytical results reveal that a congestion surcharge mechanism influences the behavior of a home delivery company and e-commerce consumers in terms of early delivery and delayed delivery, cargo volume, and consumers’ favorite delivery time. Moreover, e-commerce logistics fees in practice are established by negotiation between e-retailers and home delivery companies. The proposed model can be treated as a reference for e-retailers and home delivery companies to determine appropriate logistics fees. This pioneering study develops a congestion pricing model to deal with congestion problems in e-commerce logistics, which can effectively reflect the impact of various congestion fees on the behavior of e-commerce stakeholders.

Original languageEnglish
Pages (from-to)368-376
Number of pages9
JournalComputers and Industrial Engineering
StatePublished - 1 Mar 2019


  • Bottleneck
  • Congestion
  • E-commerce logistics
  • Last-mile delivery
  • Pricing model
  • Urban logistics

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