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GIS as a tool for selection of sample areas in a travel behaviour survey

机译:GIS作为在旅行行为调查中选择样本区域的工具

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摘要

Whilst Geographical Information Systems (GIS) are now used more commonly in transport research and modelling, GIS techniques were used in this study to select similar sample areas (in terms of geography and census attributes) for data collection. For this purpose, a GIS mapping system for Tyne and Wear, UK, was built. The system included topographic maps of the area, boundary maps of Lower Super Output Areas (LSOA), and aggregated census statistics datasets for LSOAs. Criteria relating to census attributes and the nature of transport were employed to identify 'hotspots' by GIS enquiry to provide suitably matching areas, which then formed the basis of the sampling frame. The research project was concerned with commuters' travel choices and so the study needed to identify commuters. In this case-study context, it is not possible to select fully homogeneous areas, so the GIS 'hotspots' approach allowed the identification of areas where there were a high concentration of commuters with multiple alternatives for travel to work. A pilot study showed that the GIS origin-based approach was good in collecting a balanced sample, as compared to an employment-based destination survey. This paper explores the benefits and costs of these origin- and destination-based approaches. In the origin-based home sample, households with paper-based surveys were targeted after identification by GIS. This origin approach requires more data preparation compared to the alternative of an employer-based, destination-based sample that could use online survey methodologies. The paper concludes by identifying GIS as an important tool in selecting a sample area for data collection using multiple criteria, but argues that plans for data collection need to be flexibly constructed to overcome unexpected challenges. Although this paper focuses on a transport research case study, the methodology presented can be applied to survey design and selection of sample areas in other disciplines.
机译:尽管现在地理信息系统(GIS)在交通运输研究和建模中越来越普遍,但是GIS技术在这项研究中用于选择相似的样本区域(就地理和人口普查属性而言)以进行数据收集。为此,为英国泰恩威尔郡建造了GIS测绘系统。该系统包括该区域的地形图,下超级输出区域(LSOA)的边界图以及LSOA的汇总普查统计数据集。利用有关普查属性和运输性质的标准,通过GIS查询来确定“热点”,以提供适当的匹配区域,然后构成抽样框架的基础。该研究项目与通勤者的出行选择有关,因此该研究需要确定通勤者。在这种案例研究的背景下,不可能选择完全相同的区域,因此GIS“热点”方法可以识别出通勤者集中度很高的区域,并提供多种出行方式。一项初步研究表明,与基于就业的目的地调查相比,基于GIS起源的方法在收集均衡样本方面表现良好。本文探讨了这些基于始发地和目的地的方法的收益和成本。在以原籍为基础的家庭样本中,以纸质调查为基础的家庭在通过GIS识别后成为目标。与可以使用在线调查方法的基于雇主,基于目的地的样本的替代方法相比,这种起源方法需要更多的数据准备。本文通过确定GIS作为使用多个标准选择样本区域进行数据收集的重要工具而得出结论,但认为需要灵活构建数据收集计划以克服意外的挑战。尽管本文着重于运输研究案例研究,但所介绍的方法可以应用于其他学科的调查设计和样本区域选择。

著录项

  • 来源
    《Journal of Transport Geography》 |2014年第1期|233-242|共10页
  • 作者

    Anna Fraszczyk; Corinne Mulley;

  • 作者单位

    NewRail, School of Mechanical and Systems Engineering, Newcastle University, Stephenson Building, Claremont Road, Newcastle upon Tyne NE1 7RU, United Kingdom;

    Institute of Transport and Logistics Studies (ITLS), University of Sydney Business School, The University of Sydney, Room 313, Newtown Campus (Located at 144 Burren Street) C37,NSW 2006, Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    GIS; Sample selection; Methodology; Census;

    机译:地理信息系统样品选择;方法;人口普查;
  • 入库时间 2022-08-17 23:40:09

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