Simulated results: Agent-based model of short-term and long-term allocation of electric vehicle charging resources in Netlogo

The allocation of charging resources was simulated with three roll-out strategies to prioritize new charging infrastructure in 9 neighborhoods. The goal was to determine how different strategies affect the allocation of chargers, the grid capacity and the occurence of spillover behavior in charging.This dataset contains the results of the simulations of the agent-based model (see https://data.4tu.nl/datasets/50c0329b-e9e2-4b52-ba4d-51657311f1b6 for model).<br>The following files are available:revcid_nieuw experiment_anticipatory_24_4_25Runs-stats.csv revcid_nieuw experiment_demand_24_4_25Runs-stats.csvrevcid_nieuw experiment_equity_24_4_25Runs-spreadsheet.csv <br>Each file contains the output parameter for each neighborhoods during one of the three strategies. The simulations were made for 10 years in time, and each strategy was simulated 25 times (in 25 runs). The CSV output contains the output parameters on a neighborhood level. The first two letters of the parameter name are identifiers for the neighborhood.<br>