Designing inclusive transport surveys: Sampling disadvantaged people
Designing inclusive transport surveys: Sampling disadvantaged people
复制标题
设计包容性交通调查：对弱势群体进行抽样
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
G. Currie
中科院分区：
文献类型：
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作者：
A. Delbosc;G. Currie
本文探讨了旅行调查如何执行，包括社会弱势群体从以前的研究和描述的抽样困难，以及如何解决在维多利亚的交通劣势的研究。针对弱势群体存在许多挑战，也存在一系列针对他们的方法，包括对专业服务提供商和俱乐部的“滚雪球”和“地点抽样”。所有这些都是资源密集型的，需要特别考虑目标对象的需要和关切。作为一个主要的研究项目的一部分，研究交通不便，社会排斥和福祉之间的联系，在维多利亚一个长（60-90分钟）的家庭访谈问卷调查。采用了一个使用现有家庭旅行调查抽样框架的后续调查，以减少访谈时间，更好地针对特定社会群体。由于其他群体的“选择加入”率较低，而且抽样框架中低收入群体的样本较少，因此答复对老年人和高收入群体进行了过抽样。另外还设计了一项特别调查，采用“滚雪球”和“地点抽样”的方式对服务提供者进行调查，以便更好地针对处境不利的群体，包括失业者、单身母亲、青年人、残疾人和无家可归者。这是一项资源密集型工作，但取得的这些群体的样本比以往办法确定的样本多得多。本文讨论了该领域的研究人员和从业人员的调查结果的影响。其中，需要制定新的方法，对弱势群体进行有代表性的抽样。
This paper explores how travel surveys perform in covering socially disadvantaged people from a review of previous research and a description of sampling difficulties and how they were addressed in a study of transport disadvantage in Victoria. There are numerous challenges in targeting disadvantaged people and a range of methods for targeting them including "snowballing" and "location sampling" of specialist service providers and clubs. All are resource intensive and require special consideration of the needs and concerns of those being targeted. As part of a major research program examining links between transport disadvantage, social exclusion and well-being in Victoria a long (60-90 min) home interview questionnaire survey was required. A follow on survey using an existing household travel survey sample frame was adopted to reduce interview time and to better target specific social groups. Responses over-sampled older age and higher income groups due to the low "opt-in" rates from other groups and the low sample of low income groups in the sample frame. A separate special survey was devised using "snowballing" and "location sampling" of service providers to better target disadvantaged groups including the unemployed, single mothers, young people, disabled people and the homeless. This was resource intensive but achieved a much higher sample of these groups than identified in previous approaches. The paper discusses the implications of the findings for researchers and practitioners in the field. Amongst these a need to develop new methods for representative sampling of disadvantaged group is identified.