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Fringe area growth in Metropolitan Portland: an analysis of space-time variations in residential housing and land conversion, 1970-1980

机译:大都会波特兰边缘地区的增长:1970 - 1980年对住宅和土地转换的时空变化的分析

摘要

Urban ecological problems have hitherto been addressed using one of two major approaches. The first has a social impetus directed at ethnic, economic and family characteristics and their relationships with the spatial distribution of urban residential housing. The second approach emphasizes the influence of the physical environment and the services available to subareas. The sociological method has had much more attention in modeling applications than the physical analytic technique. This study adopts the physical approach with a focus that is emphatic on infrastructural factors and land attributes, and their influence on the differential rates of fringe area residential growth in the Portland metropolitan region. Data were acquired through direct research supplemented by building permit records, jurisdictional estimates, and information from the 1970 and 1980 u.s. Censuses. Growth functional relationships were operationalized using housing starts and residential land conversion as two dependent variables against which the explanatory factors of infrastructure (water and sewer), land characteristics, road network density, accessibility, and social factors were regressed in recursive models over three subperiods in the decade 1970-1980. Five models were derived for the SMSA and the four counties for the decade, and three more subperiodic models for each area, for the categories of housing starts and land conversion. The derived models were tested against a standard econometric technique (Chow test) to verify the consistency of the coefficients (elasticities) over the different subareas in the four time periods. The results showed extremely high levels of significance of the Chow tests, deeming it necessary to examine the behavior of the elasticities in more detail over space and time. The results of the examination verified that the performance of infrastructure variables were highest in Washington County, while accessibility and road network density showed very high performances in Multnomah County. Land attributes were most notable in Clark County, while income elasticities were equally high in Multnomah, Washington, and Clark Counties. The lag effects of residential development in the immediate anteceding period were more important in Multnomah and Washington than in other counties. In Clark County, residential development in the early part of the decade was the only significant lag variable in models of the latter part of the decade. The conducted tests lend adequate support to the postulated hypotheses. In general, there was differential response to the selected attributes in the subareal models. Also, the results and tests confirmed that parameter estimates of attributes varied in different governmental jurisdictions. This implies that the counties placed different emphasis on the tested variables. Where the favorable set of variables was emphasized with one major sewer service district (Washington County), fringe area growth was enhanced. The emphasis of congestion-related variables (Multnomah County) without the desired infrastructure resulted in a relatively reasonable decline in fringe area residential housing.
机译:迄今为止,已经使用两种主要方法之一解决了城市生态问题。第一个因素是针对族裔,经济和家庭特征及其与城市住宅空间分布的关系的社会动力。第二种方法强调物理环境和子区域可用服务的影响。社会学方法在建模应用中比物理分析技术更受关注。本研究采用物理方法,重点是基础设施因素和土地属性,以及它们对波特兰都会区边缘地区居民增长率差异的影响。数据是通过直接研究获得的,并辅以建筑许可记录,管辖权估算以及1970和1980年美国的信息。人口普查。增长功能关系以房屋开工和住宅用地转换为两个因变量,从而在三个子时期的递归模型中回归了基础设施(水和下水道),土地特征,路网密度,可及性和社会因素的解释因素。 1970-1980年的十年。十年中,针对SMSA和四个县推导出了五个模型,针对房屋开工和土地转换的类别,针对每个区域又推导出了三个亚周期模型。使用标准计量经济学技术(Chow检验)对派生的模型进行了测试,以验证四个时间段内不同子区域的系数(弹性)的一致性。结果表明Chow测试的意义非常高,认为有必要在空间和时间上更详细地检查弹性的行为。检查结果证明,华盛顿县的基础设施变量性能最高,而马特诺玛县的可达性和路网密度显示出很高的性能。克拉克县的土地属性最显着,而摩特诺玛,华盛顿和克拉克县的收入弹性同样高。在早期,住宅发展的滞后效应在摩特诺玛和华盛顿比在其他县更为重要。在克拉克县,该十年初期的住宅开发是该十年后期模型中唯一显着的滞后变量。进行的测试为假定的假设提供了足够的支持。通常,对分区模型中所选属性的响应不同。此外,结果和测试证实,属性的参数估计值在不同的政府辖区中有所不同。这意味着各县对测试变量的重视程度不同。在一个主要的下水道服务区(华盛顿县)强调了有利的变量集的情况下,边缘区域的增长得到了增强。拥挤相关变量(Multnomah县)的强调没有所需的基础设施,导致边缘地区住宅的相对下降。

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    Kamara Sheku Gibril;

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  • 年度 1984
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