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首页> 外文期刊>Technological forecasting and social change >Identifying urban transformation dynamics: Functional use of scenario techniques to integrate knowledge from science and practice
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Identifying urban transformation dynamics: Functional use of scenario techniques to integrate knowledge from science and practice

机译：识别城市转型动态：情景技术在功能上的运用，以整合科学和实践中的知识

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摘要

Many urban regions are exposed to rapid growth, leading to vast changes in land use with diverse ecological, socio-economic, and aesthetical impacts. Regional scenarios are suitable for identifying possible urban development patterns. However, one challenge of scenario construction is integrating the knowledge of both science and practice for a better understanding of the complex interactions between impact factors in the urban fabric The objective of this research is to enhance process design for a collaborative scenario analysis in the context of urban development. The scenarios are constructed for a case study of the Limmattal region, a suburban agglomeration close to Zurich, Switzerland, and we demonstrate a functional structure for science-practice collaboration within the process of scenario building. The types of communication between science and practice are systematically varied, which leads to four consistent scenarios for 2030. Our analyses of regional system dynamics reveal the most important feedback loop among five impact factors within the region, which allows for a better understanding of the systemic interactions in regional transformation. This process design shows the potential to support knowledge integration in research processes involving science and practice, and assists informed planning strategies for urban transformation.
机译：许多城市地区都处于快速增长之中，导致土地用途的巨大变化，并产生了各种生态，社会经济和美学影响。区域情景适合确定可能的城市发展模式。然而，场景构建的一个挑战是整合科学和实践的知识，以更好地理解城市结构中影响因素之间的复杂相互作用。本研究的目的是在以下方面加强协作场景分析的过程设计：城市发展。这些场景是针对Limmattal地区（瑞士苏黎世附近的郊区集聚区）的案例研究而构建的，我们演示了在场景构建过程中科学与实践合作的功能结构。科学与实践之间的交流类型在系统上是多种多样的，这导致了2030年的四个一致情景。我们对区域系统动力学的分析揭示了该区域内五个影响因素中最重要的反馈回路，从而可以更好地理解系统性区域转型中的互动。该过程设计显示了在涉及科学和实践的研究过程中支持知识整合的潜力，并有助于为城市转型提供明智的规划策略。

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  • 来源
    《Technological forecasting and social change》 |2014年第11期|115-130|共16页
  • 作者

    Timo von Wirth; Ulrike Wissen Hayek; Antje Kunze; Noemi Neuenschwander; Michael Stauffacher; Roland W. Scholz;

  • 作者单位

    Institute for Environmental Decisions (IED), Natural and Social Science Interface (NSSI), ETH Zurich, Universitaetstrasse 22, CHN J74.1, 8092 Zurich, Switzerland;

    Institute for Spatial and Landscape Planning, Planning of Landscape and Urban Systems (PLUS), ETH Zurich, Wolfgang-Pauli-Str. 15, 8093 Zurich, Switzerland;

    Information Architecture, ETH Zurich, Wolfgang-Pauli-Str. 27, 8093 Zurich, Switzerland;

    Institute for Spatial and Landscape Planning, Planning of Landscape and Urban Systems (PLUS), ETH Zurich, Wolfgang-Pauli-Str. 15, 8093 Zurich, Switzerland;

    Institute for Environmental Decisions (IED), Natural and Social Science Interface (NSSI), ETH Zurich, Universitaetstrasse 22, CHN J74.1, 8092 Zurich, Switzerland;

    Institute for Environmental Decisions (IED), Natural and Social Science Interface (NSSI), ETH Zurich, Universitaetstrasse 22, CHN J74.1, 8092 Zurich, Switzerland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Formative scenario analysis (FSA); Urban system transformation; Feedback loop; Science-practice collaboration; Knowledge integration; Regional dynamics;

    机译：形成性情景分析（FSA）;城市体系转型;反馈回路;科学与实践合作;知识整合;区域动态;

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