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Spatial decision support systems for sustainable urban redevelopment.

机译：可持续城市重建的空间决策支持系统。

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摘要

A recent United Nations study concludes that worldwide population will grow from approximately 7 billion today to 9.3 billion in 2050 and 10.1 billion in 2100. Nowhere is this population growth more evident than in the major cities of the world. For the first time in history, a majority of the world's people lived in cities. In 1950, by comparison, less than 30% of the world's population dwelled in cities. This rapid growth of population, coupled with an aging infrastructure, and the abandoning of urban manufacturing sites, creates an urgent need for inner city revitalization. There are several urban areas especially at risk. They include cities with high concentrations of derelict properties and vulnerable populations that are located within the urban core. Others include sites that are in proximity to urban industrial riverfronts. These sites are collectively known as Brownfields. Also included are sites, including Public Complexes (e.g. large publicly owned campuses such as colleges, universities, prisons, and hospital centers), with an expansive campus footprint, where stormwater runoff occurs instead of soaking into the ground. As global population continues to increase in these areas, researchers are investigating new techniques that promote economic growth and sustainable development, while minimizing the environmental, social, and economic impacts of urban sprawl. One such technique is building green buildings on these Brownfield Sites. The present study investigates whether a prescriptive approach to urban development, the third party rating system, coupled with a Business Intelligence Dashboard, as a data visualization tool to display the status of redevelopment, can provide feasible and intuitive integration of data in which to prioritize redevelopment. The study presents a new framework and key sustainability indicators, based on existing third party rating systems, to prioritize redevelopment. It introduces these assessments into a Spatial Decision Support System, utilizing a dashboard as an interactive tool to gather and consolidate data and to present an evaluative means for decision-makers. The tool allows identification of the highest priority sites for long-term and short-term redevelopment of distressed properties. The aim of the research is to advance knowledge for new concepts for sustainable urban redevelopment projects using decision frameworks for selection among alternative Brownfield redevelopment projects. The study indicates that the third party rating system, coupled with dashboards, is an effective decision support tool that facilitates efficient decision-making.
机译：联合国最近的一项研究得出的结论是，全球人口将从今天的大约70亿增长到2050年的93亿和2100年的101亿。这种人口增长在世界各主要城市中最为明显。有史以来第一次，世界上大多数人居住在城市中。相比之下，在1950年，全世界不到30％的人口居住在城市中。人口的快速增长，再加上基础设施的老化，以及城市制造业场所的废弃，迫切需要振兴内城。有几个城市地区特别危险。这些城市包括废弃财产集中的城市和位于城市中心的脆弱人群。其他包括靠近城市工业河滨的地点。这些站点统称为Brownfields。还包括公共综合体（例如，大学，大学，监狱和医院中心之类的大型公有校园）等场所，其校园覆盖面广，发生雨水径流而不是渗入地下。随着这些地区全球人口的持续增长，研究人员正在研究促进经济增长和可持续发展，同时将城市扩张对环境，社会和经济的影响最小化的新技术。一种这样的技术是在这些Brownfield网站上建造绿色建筑物。本研究调查了一种针对城市发展的说明性方法，第三方评级系统以及商业智能仪表板（作为显示重建状况的数据可视化工具）是否可以提供可行且直观的数据集成，从而优先考虑重建问题。这项研究基于现有的第三方评级系统提出了一个新的框架和关键的可持续性指标，以优先进行重建。它将这些评估引入空间决策支持系统，利用仪表板作为交互式工具来收集和合并数据，并为决策者提供评估手段。该工具可以识别出优先级最高的位置，以便对不良资产进行长期和短期重建。该研究的目的是使用决策框架从可供选择的布朗菲尔德重建项目中进行选择，从而为可持续城市重建项目的新概念提高知识。研究表明，第三方评估系统与仪表板一起是有效的决策支持工具，可促进有效的决策。

著录项

  • 作者

    Johnson-Ferdinand, Amy V.;

  • 作者单位

    Montclair State University.;

  • 授予单位 Montclair State University.;
  • 学科 Environmental Management.;Urban and Regional Planning.;Sustainability.;Geodesy.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 等离子体物理学;
  • 关键词

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