The chapter presents a simulation model with input parameters that include (among others) grid size and shape (e.g., square or rectangular), number of stops, and location of the entry point to the grid. Each intersection on the grid is a possible stop. By altering input parameters the chapter explores: the relationship between density and total distance travelled; the effect of clustering of stops; the savings from merging two or more routes; the savings from e-commerce when delivery is from a central point versus consumers shopping at a store; the effect of using different entry points; the effect of one-way streets; and the effect of barriers (like rivers, railway tracks, closed streets, etc.) requiring the use of a bridge, a tunnel, or a single street to cross the barrier.

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Using a Simple Monte Carlo Simulation to Explore the Relationship Between Number of Stops and Travel Distance

  • Robert Cohen,
  • Michael Leibert,
  • Matthew Robinson,
  • Samuel Robinson

摘要

The chapter presents a simulation model with input parameters that include (among others) grid size and shape (e.g., square or rectangular), number of stops, and location of the entry point to the grid. Each intersection on the grid is a possible stop. By altering input parameters the chapter explores: the relationship between density and total distance travelled; the effect of clustering of stops; the savings from merging two or more routes; the savings from e-commerce when delivery is from a central point versus consumers shopping at a store; the effect of using different entry points; the effect of one-way streets; and the effect of barriers (like rivers, railway tracks, closed streets, etc.) requiring the use of a bridge, a tunnel, or a single street to cross the barrier.