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How will we get there? New approaches to analyzing low-Socio-Economic Status Household access to destinations in Australian cities

机译:我们如何到达那里?分析低社会经济地位的新方法家庭进入澳大利亚城市目的地的途径

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Access to essential goods and services is increasingly recognized as a key factorinfluencing household socio-economic disadvantage within cities. Socio-economicstatus and spatial location partly determine differential accessibility. Spatial variationof these low-SES groups across cities, and their travel patterns, are mostly ignored bystrategic transport models, which are concerned more with traffic volumes on the roadnetwork and peak hour travel. This paper expands on a method using cluster analysistechniques to identify low-SES groups on the Gold Coast (Australia) from a largeregional household travel survey. This allows for the identification of the actual travelbehavior of low-SES groups. Using this information, the paper advances a neworigin/destination-based land use and transport accessibility model. The model usesthe output from the cluster analysis, in conjunction with 2006 Australian census data,to highlight accessibility to goods and service needs for a set of low-SES groups onthe Gold Coast. The method being developed provides unique opportunities forresearch into spatial disadvantage and accessibility in Australian cities. Theconceptualization of the transport network with outputs provided at the censuscollection district level (approximately 200 households) ensures that the model can berun concurrently with conventional transport models.
机译:人们越来越认识到获得基本商品和服务是关键因素 影响城市中家庭的社会经济劣势。社会经济 地位和空间位置在一定程度上决定了差异的可达性。空间变异 这些城市中低社会经济地位的人群中,他们的出行方式被大多数人忽略了 战略性交通模型,更多地关注道路上的交通量 网络和高峰时间旅行。本文扩展了一种使用聚类分析的方法 从大范围中识别黄金海岸(澳大利亚)低SES群体的技术 区域家庭旅行调查。这样可以识别实际行程 低社会经济地位群体的行为。利用这些信息,本文提出了新的建议。 基于起源/目的地的土地利用和交通可达性模型。模型使用 聚类分析的结果,结合2006年澳大利亚人口普查数据, 着重强调一组低SES群体对商品和服务需求的可访问性 黄金海岸。正在开发的方法为 研究澳大利亚城市的空间劣势和可达性。这 根据普查结果提供运输网络的概念化 收集区级别(约200户)确保该模型可以 与常规运输模型同时运行。

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