In 2017, Baltimore City was awarded $75 million earmarked for the targeted demolition of a portion of its 16,000 vacant and abandoned buildings. Selecting an optimal set of demolition targets is difficult given that the cost per demolition is not independent of the overall demolition pattern; like many older cities, Baltimore’s abandoned housing includes a large number of attached row houses, which require the construction of retaining walls when a demolished home abuts a non-demolished home. In this paper, we present a method by which planners can use integer linear programming to identify optimal demolition targets for a number of potential objectives. The simplest objective, demolishing the maximum number of houses for a specific budget, is compared with more complex functions that attempt to proxy improved quality of life resulting from the demolitions. The results of different objective functions are then assessed in terms of equity and efficiency using the spatial distribution of proposed targets as a point of comparison.

2017年，巴尔的摩市获得7500万美元专款，用于有针对性地拆除其16000座空置和废弃建筑中的一部分。鉴于每次拆除的成本与整体拆除模式无关，因此很难选择最佳的拆除目标集。像许多较老的城市一样，巴尔的摩的废弃房屋包括大量相连的连排房屋，当一栋被拆毁的房屋与一栋未拆除的房屋邻接时，需要建造挡土墙。在本文中，我们提出了一种方法，计划人员可以使用该方法使用整数线性规划来确定许多潜在目标的最佳拆除目标。最简单的目标是，按特定预算拆除最大数量的房屋，与更复杂的功能进行比较，这些功能试图代表拆除所带来的生活质量的提高。然后使用拟议目标的空间分布作为比较点，根据公平性和效率评估不同目标函数的结果。