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>

针对9个社区，本研究采用三种部署推广策略模拟充电资源分配，以优先推进新型充电基础设施布局。本研究旨在明确不同策略对充电桩分配、电网容量及充电溢出行为发生情况的影响。本数据集包含基于智能体的模型（Agent-Based Model）的模拟结果（模型详情见：https://data.4tu.nl/datasets/50c0329b-e9e2-4b52-ba4d-51657311f1b6）。<br>可用文件如下：revcid_nieuw experiment_anticipatory_24_4_25Runs-stats.csv、revcid_nieuw experiment_demand_24_4_25Runs-stats.csv、revcid_nieuw experiment_equity_24_4_25Runs-spreadsheet.csv<br>每份文件对应三种策略之一下各社区的输出参数。本次模拟时长为10年，且每种策略均进行了25次模拟（即25轮运行）。CSV格式输出文件包含社区层面的输出参数，参数名称的前两个字母为对应社区的标识符。