Analyzing the Crowd-Shipping Delivery Performance from Bidding to Delivering

This study analyzes the crowd-shipping delivery mechanism and assesses its delivery performance. The authors explore factors that impact each phase of the delivery process; from the bidding stage through acceptance, pick-up, to final delivery by developing a sequence of parametric hazard duration models. Models are applied to a unique national data set consisting of 16,850 crowd-shipping delivery requests across the United States throughout a two-year period. The authors reveal that the crowd-shipping delivery mechanism is a function of the shipping request and package characteristics, built environment characteristics, and socioeconomic characteristics of both the trip origin and the trip destination. The results reveal interdependence among stages of the delivery mechanism, where the time-to-event in one delivery phase was found to impact the performance in later phases. Hence, the performance improvement of the crowd-shipping hinges on maintaining good performance in early phases, at least within the relevant zone of tolerance. The findings also illustrate the specificity of each delivery phase and how it is affected by different variables or magnitude of effects. Overall, the authors' findings emphasize the need to examine crowd-shipping delivery as driven by distinctive factors in each phase, while also highlighting the correlation among phases. This modeling framework provides new insight on the functioning of innovative delivery system business models to the academic and practitioner communities. Crowd-shipping companies will also benefit from the findings of the current research to improve the management of their peer-to-peer based delivery mechanism.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Ermagun, Alireza
    • Stathopoulos, Amanda
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 9p

Subject/Index Terms

Filing Info

  • Accession Number: 01697386
  • Record Type: Publication
  • Report/Paper Numbers: 19-03950
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:26AM