摘要翻译：
随着电动汽车需求的不断扩大，满足充电基础设施的需求，尤其是在城市地区，已经成为一个关键问题。增设充电站的一种方法是安装在停车点。这增加了这些景点对需要为车辆充电的电动汽车司机的价值。然而，建造这些停车位是有成本的，这些停车位可能会阻止不需要收费的司机使用它们，从而减少此类司机的停车选择\彩色{黑色}。我们研究了两个模型，以说明如何在现有停车点上投资充电站。首先，我们分析了两家在政府规定的授权或补贴下竞争安装车站的公司。考虑到建设现场的成本和市场的竞争力，我们发现对现场建设设置更高的授权或更高的补贴是否会导致更好的总体结果是不确定的。其次，我们看一个面临电动汽车市场规模不确定性的系统运营商。如果它们是风险中性的，我们发现电动汽车市场不确定性的相对较小的变化可以导致最优充电容量的较大变化。
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英文标题：
《Investment in EV charging spots for parking》
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作者：
Brendan Badia, Randall Berry, Ermin Wei
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最新提交年份：
2019
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Computer Science and Game Theory        计算机科学与博弈论
分类描述：Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with Learning), foundations of agent modeling in games (which may overlap with Multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. The area also deals with applications of game theory to areas such as electronic commerce.
涵盖计算机科学和博弈论交叉的所有理论和应用方面，包括机制设计的工作，游戏中的学习（可能与学习重叠），游戏中的agent建模的基础（可能与多agent系统重叠），非合作计算环境的协调、规范和形式化方法。该领域还涉及博弈论在电子商务等领域的应用。
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一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  As demand for electric vehicles (EVs) is expanding, meeting the need for charging infrastructure, especially in urban areas, has become a critical issue. One method of adding charging stations is to install them at parking spots. This increases the value of these spots to EV drivers needing to charge their vehicles. However, there is a cost to constructing these spots and such spots may preclude drivers not needing to charge from using them, reducing the parking options for such drivers\color{black}. We look at two models for how decisions surrounding investment in charging stations on existing parking spots may be undertaken. First, we analyze two firms who compete over installing stations under government set mandates or subsidies. Given the cost of constructing spots and the competitiveness of the markets, we find it is ambiguous whether setting higher mandates or higher subsidies for spot construction leads to better aggregate outcomes. Second, we look at a system operator who faces uncertainty on the size of the EV market. If they are risk neutral, we find a relatively small change in the uncertainty of the EV market can lead to large changes in the optimal charging capacity.
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PDF链接：
https://arxiv.org/pdf/1904.09967