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Measuring the effects of perceptions of crime on neighborhood quality and housing markets.

机译:衡量犯罪观念对邻里质量和住房市场的影响。

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摘要

This dissertation examines the effect of crime on neighborhood quality through an examination of house prices. Instead of a straight examination of the effect of measured levels of crime on housing prices, this research explores the effect of how crime is perceived. Studies using crime statistics may be misleading due to issues due to issues with mismeasurement of crime and homebuyers' awareness of crime statistics and riskaverse behavior of homebuyers. This is achieved using two approaches. The first uses survey data to compare how the effect of the satisfaction with safety from crime on house prices differs from the effect of measured crime rates on house prices. The second examines whether there are asymmetries in the perceptions of increases and decreases in crime rates and also examines how long the effects last as measured through effects on house prices.; When hedonic models of house prices using the perception of crime are compared to models using measured crimes, neither measure is a good indicator of house prices. The results show that measured crime rates and perception of crime do not robustly predict house prices and in some cases indicate higher house prices associated with higher crime rates and dissatisfaction with safety in the neighborhood. The results from the analysis of hedonic price models using increases and decreases in crime do not show evidence that changes in crime should not be measured as a continuous linear variable. The results suffer from a lack of significant regression coefficients, leaving little to say about whether increases in crime are different from decreases in crime.
机译:本文通过对房价的研究来考察犯罪对邻里质量的影响。这项研究没有直接检查犯罪的可衡量程度对房价的影响,而是探索了犯罪感知的影响。由于犯罪计量错误以及购房者对犯罪统计数据和购房者的厌恶行为的认识等问题,使用犯罪统计数据进行的研究可能会产生误导。这可以通过两种方法来实现。第一种方法是使用调查数据来比较对犯罪的安全性满意对房价的影响与测得的犯罪率对房价的影响有何不同。第二部分研究了犯罪率上升和下降的看法是否存在不对称性,还研究了通过对房价的影响来衡量这种影响能持续多长时间。当将使用犯罪感的房价享乐模型与使用可衡量的犯罪行为的模型进行比较时,两种度量方法都不是房价的良好指标。结果表明,测得的犯罪率和对犯罪的认知度无法强有力地预测房价,在某些情况下,这表明较高的房价与较高的犯罪率以及对社区安全的不满有关。使用犯罪增加和减少的享乐价格模型的分析结果没有显示证据表明犯罪变化不应该作为连续线性变量来衡量。结果缺乏显着的回归系数,关于犯罪的增加与犯罪的减少是否有什么不同几乎没有什么可说的。

著录项

  • 作者

    Petras, Tricia L.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Urban and Regional Planning.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 157 p.
  • 总页数 157
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 区域规划、城乡规划;
  • 关键词

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