A Weighted, Multi-Attribute, Site Prioritization and Selection Process for Brownfield Redevelopment

棕地 再开发 优先次序 选址 选择(遗传算法) 过程(计算) 计算机科学 环境规划 采矿工程 环境科学 业务 土木工程 地质学 工程类 过程管理 人工智能 政治学 法学 操作系统
作者
Michael R. Thomas
出处
期刊:Environmental Practice [Cambridge University Press]
卷期号:4 (2): 95-106 被引量:14
标识
DOI:10.1017/s1466046602021105
摘要

AbstractMichigan is widely recognized as having one of the most innovative programs for converting brownfields into productive uses. The state provides a number of financial incentives along with suspension of retroactive liability for prospective developers. Michigan also has among the greatest number of brownfields of any state. The sheer number of sites and locations throughout the state, the cost of acquisition and cleanup, and the amount of information needed to make a reasoned decision and complete the necessary permits can make the choice of candidate sites difficult. A method to differentiate among potential sites for selection is clearly necessary. In this paper, a Brownfield Site Ranking Model is proposed for selecting sites for potential redevelopment. This process identifies 11 siting criteria derived from the review of general siting factors that can be evaluated in locating a business on a formerly used site. Such factors include commercial marketing guidelines, financial incentives, environmental regulatory compliance requirements, regional infrastructure and labor resources, and local community acceptance. These factors were integrated into a conventional, step-by-step, site identification and selection process using a multi-tiered, weighted procedure. The process was developed in cooperation with the Brownfield Redevelopment Authority of Jackson County and was tested on several prospective commercial and industrial sites. Results suggest a high degree of correlation between site characteristics and likely end uses and argue for a selection process that allows participation by local governments. The complete process, which can be computerized and adapted to a geographic information system, provides a model for commercial developers, real estate brokers, siting consultants, and local communities in selecting target sites for redevelopment.
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