How to Activate the Value in Existing Stocks through Adaptive Reuse: An Incremental Architecture Strategy

Author:

Ingaramo RobertaORCID,Lami Isabella M.ORCID,Robiglio Matteo

Abstract

This paper illustrates a methodology for the remediation of polluted ex-industrial sites that considers the adaptive remediation and reuse of previously productive buildings and is structured in an incremental strategy. The main features of an adaptive reuse intervention are generally considered: low investment; high heritage awareness; urban identity; strong community engagement; and green concern. These characteristics are only partially compatible with the transformation of brownfields, mainly because of their usual size of the area, as it would require a large initial investment to purchase and convert the entire asset. To tackle this issue, we are proposing an incremental strategy that starts from the design process and is based on three main principles: (i) keeping and reusing as much of the existing buildings and facilities as possible; (ii) drawing the masterplan layout according to the pollutants, their zone distribution and the remediation techniques; and (iii) increasing public interest towards the area, attracting investors and stimulating a mechanism to rise the market value of the real estate property. The incremental strategy is illustrated through a project to reactivate an abandoned industrial area in Venice, Italy.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference33 articles.

1. The Death and Life of Great American Cities;Jacobs,1961

2. Adaptive Reuse

3. RE–USA: 20 American Stories of Adaptive Reuse: A Toolkit for Post-Industrial Cities;Robiglio,2017

4. Rust Remix;Ingaramo,2017

5. An Interpretative Matrix for an Adaptive Design Approach. Italian School Infrastructure: Safety and Social Restoration

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3