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Out of Reach: New approaches to modelling low-SES access to destinations in Australian cities

机译:超出范围:为低SES访问澳大利亚城市目的地建模的新方法

摘要

Access to essential goods and services is increasingly recognised as a key factor influencing household socio-economic vulnerability and disadvantage within cities. Socio-economic status and spatial location partly determine differential accessibility. Previously, the access made available to low socio-economic status (SES) groups via the transport system has been conceived subjectively, based on a collective perception of factors that contribute to a disadvantaged household. Further, spatial variation of these low-SES groups across cities, and their travel patterns, are mostly ignored by strategic transport models, which are concerned more with traffic volumes on the road network and peak hour travel. This paper summarises a promising method using cluster analysis techniques to identify low-SES groups on the Gold Coast directly from a large regional household travel survey. This allows for the identification of actual travel behaviour by key low-SES groups. Using this information, the paper then advances a new origin-destination-based land use and transport accessibility model. The model uses outputs from the cluster analysis, in conjunction with 2006 census data, to highlight differential accessibility to goods and service needs for a set of low-SES groups on the Gold Coast. The method being developed provides unique and significant opportunities for research into spatial disadvantage and accessibility in Australian cities. The use of freely available inputs, shrewd conceptualisation of the transport network, and outputs provided at the census collection district level, ensures the model may run concurrently with conventional strategic transport modelling. The method used and the results obtained have clear implications for transport infrastructure and service delivery planning.
机译:人们越来越认识到,获得基本商品和服务是影响城市中家庭社会经济脆弱性和劣势的关键因素。社会经济状况和空间位置部分决定了可及性的差异。以前,基于对导致弱势家庭的因素的集体认识,通过主观构想了通过交通运输系统为低社会经济地位(SES)群体提供的通道。此外,战略交通模型通常忽略了这些低SES人群在城市之间的空间变化及其出行方式,而战略交通模型则更加关注道路网络上的交通流量和高峰时段出行。本文总结了使用聚类分析技术直接从大型区域性家庭旅行调查中识别出黄金海岸低SES群体的一种有前途的方法。这样可以通过低SES关键组识别实际的出行行为。然后,利用这些信息,提出一种基于原产地的新土地利用和交通可及性模型。该模型将聚类分析的结果与2006年的人口普查数据结合使用,以突出显示黄金海岸一组低SES群体对商品和服务需求的不同可及性。正在开发的方法为研究澳大利亚城市的空间劣势和可及性提供了独特而重要的机会。使用免费可用的输入,精巧的运输网络概念以及普查收集区一级提供的输出,可确保该模型可以与常规战略运输模型同时运行。所使用的方法和获得的结果对于运输基础设施和服务交付计划具有明显的含义。

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