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Understanding the drivers of Urban Development Agreements with the rough set approach and robust decision rules

机译:了解与粗糙集方法和强大的决策规则的城市发展协议驱动因素

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摘要

The rise of neoliberalism in the context of urban development has encouraged cooperation between public and private parties. This cooperation is structured by contracts, generally called Urban Development Agreements (UDAs). Being part of the urban regeneration strategies, UDAs aim at achieving durable improvements of abandoned areas, namely brownfields, according to the sustainability principles. Thus, within the negotiation between private developers and public administrations, multiple and conflicting instances have to be faced case by case. Despite the uniqueness of each UDA, it is possible to define a set of pertinent characteristics that play a crucial role in determining the fairness and appropriateness of the public-private partnership. Given this context, we propose a novel variant of the Dominance Rough Set Approach (DRSA) for i) exploring the relationship between condition attributes or criteria and effects of urban development processes and for ii) supporting negotiations according to the detection of a set of relevant features. Specifically, DRSA is applied on a sample of UDAs recently concluded in the Lombardy Region (Northern Italy), and then tested on a sample of other UDAs under the negotiation phase. The analysis involves five dimensions represented by attributes and criteria related to urban, institutional, negotiation, development and economic contexts. The inferred decision rules provide useful knowledge for supporting complex decision processes such as the allocation of costs and benefits within UDAs.
机译:城市发展背景下的新自由主义的兴起鼓励了公共和私人缔约国之间的合作。这种合作由合同构成,通常称为城市发展协议(UDA)。作为城市再生策略的一部分,UDA旨在根据可持续发展原则实现废弃地区的耐用区域,即棕色地区。因此,在私人开发人员和公共主管部门之间的协商内,案例必须面临多个和冲突的实例。尽管每个UDA的唯一性,但可以定义一组相关的特征,在确定公私伙伴关系的公平和适当的情况下起着至关重要的作用。鉴于这一背景,我们提出了一种新的粗略集合方法(DRSA)的新型变种,探讨了条件属性或城市发展过程的关系与II之间的关系,并根据一套相关的检测支持谈判特征。具体而言,DRSA应用于最近在伦巴第地区(意大利北部)的UDA样本上,然后在谈判阶段测试在其他UDA的样品上。分析涉及五个维度,由与城市,机构,谈判,发展和经济环境相关的属性和标准表示。推断的决定规则为支持复杂决策过程提供了有用的知识,例如在UDA中分配成本和福利。

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