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Influence of new urbanist design features on sense of community: The case of Cherry Hill Village in Canton, Michigan.

机译:新的城市主义设计特征对社区意识的影响:以密歇根州坎顿的樱桃山村为例。

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摘要

This study explored the influence of New Urbanist design features on sense of community in the State of Michigan by employing Cherry Hill Village, a major New Urbanist development in Canton, Michigan, as its case study. Using a quantitative survey method, online surveys were utilized to procure data. A total of 136 surveys were collected for data analysis and analyzed using multiple regression, one-way ANOVA and t-test analyses.;The variables investigated within this study, derived from the theoretical foundations and previous empirical studies of New Urbanism and sense of community, include New Urbanist architectural design features, New Urbanist community design features, walkability, and socio-demographic variables. Utilizing Skjaeveland, Garling, and Maeland's (1996) 14-item Multidimensional Measure of Neighboring to conceptualize sense of community, the findings indicate that specific design features, as well as walkability and some socio-demographic characteristics, have a significant effect on sense of community.;In light of the increasing popularity of New Urbanist developments in the State of Michigan, this study suggests the importance of physical design features in promoting sense of community and gives guidelines for future design.
机译:本研究以密歇根州坎顿市的主要新都市主义发展案樱桃山村为案例研究,探索了新都市主义设计特征对密歇根州社区意识的影响。使用定量调查方法,利用在线调查来获取数据。总共收集了136个调查以进行数据分析,并使用多元回归,单向方差分析和t检验分析进行了分析;本研究中调查的变量源于新都市主义和社区意识的理论基础和先前的实证研究,包括“新都市主义”建筑设计功能,“新都市主义”社区设计功能,步行性和社会人口统计学变量。利用Skjaeveland,Garling和Maeland(1996)的14个项目的邻域多维度量来概念化社区意识,研究结果表明,特定的设计特征,步行性和一些社会人口统计学特征对社区意识有重要影响。鉴于密歇根州新都市主义发展的日益普及,这项研究表明了物理设计特征在促进社区意识方面的重要性,并为未来设计提供了指导。

著录项

  • 作者

    Alzaidan, Shahad.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Design and Decorative Arts.;Urban and Regional Planning.
  • 学位 M.A.
  • 年度 2012
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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