cff-version: 1.2.0
abstract: "<p>The REVCID (Residential Electric Vehicle Charging Infrastructure Development) model is an agent-based model, built in NetLogo 6.4.0. It’s goal is to identify strengths and weaknesses of various roll-out strategies, taking into account residential demand, growth projections, equity and grid limitations.</p><p>Parameters from a real case study were used to initialize the model (identify-neighbourhoods.nls)&nbsp;&nbsp;and parameters should be adjusted to the area of interest when using the model. The netlogo procedures can be found in different files:</p><p><br></p><ul><li>globals.nls contains the global variables (parameters) used in the model</li><li>chargepoints-own.nls, transformators-own.nls and admins-own.nls is a list of the parameters within the chargepoint, transformer and policy-maker agents.</li><li>identify-neighborhoods.nls contains the statistics as derived from external data (such as EVdata and CBS, see references) for each of the 9 selected case study neighborhoods</li><li>set-parameters-grid.nls sets the charging speed of various charging modes</li><li>determine-peak.nls adjusts the occupancy rates based on whether the hour of the day is a peak hour, and adds a random chance for higher occupancy</li><li>grow-demand.nls sets the growth factor of the occupancy rate</li><li>set-values-for-bs.nls turns the output into reporters that can be saved as csv or table output when running the simulations in Behaviorspace</li><li>The nlogo file contains the entire model, interface and procedures. The nls files should be imported for the model to work.</li></ul><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p>"
authors:
  - family-names: van der Koogh
    given-names: Mylene
    orcid: "https://orcid.org/0000-0001-6057-6800"
  - family-names: Chappin
    given-names: Emile J.L.
    orcid: "https://orcid.org/0000-0002-8529-4241"
  - family-names: Lukszo
    given-names: Zofia
    orcid: "https://orcid.org/0000-0002-6643-3699"
  - family-names: Heller
    given-names: Renee
title: "Agent-based model of short-term and long-term allocation of electric vehicle charging resources in Netlogo"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/50c0329b-e9e2-4b52-ba4d-51657311f1b6.v1
license: CC BY-NC 4.0
date-released: 2024-07-22