Should I Stay or Should I Go? Assessing Intermodal and Synchromodal Resilience from a Decentralized Perspective

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7 Citations (Scopus)

Abstract

Synchromodal transport incorporates real-time events in a dynamic manner in order to facilitate the most suitable selection of modes, routes and handling points. Up until now, current assessments rely on analytical models. Most of these models average distances for barges and trains via route mapping platforms that provide realistic distances for road only. To reflect on real-world developments more accurately, new thinking and modelling approaches are necessary to bridge academic models with physical transport processes. This paper introduces a computational model which computes movements of agents in geographically referenced space. The model captures stochastic parallel processes for each mode, and simulates decentralized delivery performance of each order in terms of cost, time and emissions at an operational level. Furthermore, we study the routing of individual orders and their responsiveness to disruptions. Computational experiments are performed within a case study which concerns imports of retail goods by unimodal truck transport from France to Belgium. Our findings show that dynamic synchromodal solutions cope with disturbances better, but unnecessary deviations and pro-activeness can also lead to negative effects when compared to static intermodal solutions
Original languageEnglish
Article number1765
Number of pages24
JournalSustainability
Volume11
Issue number6
DOIs
Publication statusPublished - 23 Mar 2019

Keywords

  • Agent-based modelling
  • Disruption
  • Geographic information systems
  • Intermodal transport
  • Resilience
  • Simulation
  • Synchromodal transport

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