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首页> 外文期刊>Journal of geovisualization and spatial analysis >Smarter Shrinkage: a Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics
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Smarter Shrinkage: a Neighborhood-Scaled Rightsizing Strategy Based on Land Use Dynamics

机译：聪明的收缩:Neighborhood-Scaled基于土地利用动态调整策略

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摘要

Despite global projections of increasingly concentrated urban population growth, many cities still suffer from severe depopulation (or shrinkage), which results in increased vacant land/structural abandonment. As a consequence, shrinking urban areas are now seeking ways to more intelligently inventory and manage declining neighborhoods. Smart Shrinkage, a means of planning for fewer people and less development, has become a popular approach to managing depopulation. This research explores current approaches to managing vacant urban land through case evaluations approach, using findings to inform an applied Smart Shrinkage strategy for repurposing vacant lots. Land use prediction modeling is integrated into the process using Dayton, Ohio, USA, as an application site. A GIS-based development suitability model was used to identify pockets of future nodal development, and the land transformation model (LTM) was used to predict areas of future decline. Typologies of vacant/ abandoned lots were then developed based on spatial characteristics of each parcel. The result of the process is a framework for executing Smarter Shrinkage-a community-scaled approach integrating land use prediction modeling into the process for managing vacant lots. Findings suggest that forecasts from the LTM require policy mechanisms to be put into place that will allow land to be transformed for nonresidential uses that are consistent with where demand exists. Smarter Shrinkage approaches should emphasize the implementation of newly proposed development only within nodes of high development potential and should utilize temporary or green infrastructure-based functions in areas predicted to become vacant or with low development potential.
机译：尽管全球越来越多的预测集中城市人口增长,许多城市还患有严重的灭绝(或收缩),这导致增加空土地/结构性遗弃。减少城市正在想办法更加智能地库存和管理下降社区。较少的人力和发展规划,已经成为一种流行的方法来管理吗人口减少。空置的城市土地管理方法情况下评估的方法,使用结果通知应用智能收缩战略再利用空地。建模是集成到流程使用美国俄亥俄州代顿市,作为应用程序的网站。可视化开发适宜性模型是可使用的确定未来的节点发展的口袋,和土地转换模型(LTM)使用预测领域未来的下降。空/放弃了很多当时发达的基础每个包裹的空间特性。流程的结果是一个框架执行智能Shrinkage-a community-scaled整合土地利用预测建模方法到流程管理空地。研究结果表明,预测的中心思想需要落实到位的政策机制让土地被转换非住宅用途一致需求是存在的。应该强调实施新提出开发只在节点的高发展潜力,应该利用临时或绿色轨道函数在预测成为空或较低的领域发展潜力。

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  • 来源
    《Journal of geovisualization and spatial analysis》 |2018年第2期|11-1-11-20|共20页
  • 作者

    Galen Newman; Justin B. Hollander; Jaekyung LeeDonghwan GuBoah KimRyun Jung LeeJennifer A. HorneyDomonic BearfieldYuxian Li;

  • 作者单位

    Department of Landscape Architecture and Urban Planning, Texas A&M University, 101 Scoates Hall, 3137 TAMU, College Station, TX 77843, USA;

    Department of Landscape Architecture and Urban Planning, Texas A&M University, Langford A325, 3137 TAMU, College Station, TX 77843, USA;

    School of Public Health, Texas A&M University, 1266 TAMU, College Station, TX 77843, USABush School of Government and Public Service, Texas A&M University, Allen Room 140, 3137 TAMU, College Station, TX 77843, USADepartment of Urban Design and Planning, Hongik University, K310, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Republic of KoreaDepartment of Landscape Architecture and Urban Planning, Texas A&M University, 125F Scoates Hall, 3137 TAMU, College Station, TX 77843, USADepartment of Landscape Architecture and Urban Planning, Texas A&M University, 103 Scoates Hall, 3137 TAMU, College Station, TX 77843, USAUrban and Environmental Policy and Planning, Tufts University, 97 Talbot Avenue, Medford, MA 02155, USADepartment of Landscape Architecture and Urban Planning, Texas A&M University, 3137 TAMU, College Station, TX 77843, USA;

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  • 正文语种 英语
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  • 关键词

    vacant land; Application Site; dib holeDevelopment potentialUrban DecayLand useLandPersonnel Downsizing;

    机译：空地;应用程序网站;dib holeDevelopmentpotentialUrban DecayLand useLandPersonnel裁员;

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