A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility
A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility
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DOI：
10.1016/j.socscimed.2017.09.047
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发表时间：
2017-11-01
影响因子：
5.4
通讯作者：
Sims-Gould, Joanie
中科院分区：
文献类型：
--
作者：
Franke, Thea;Winters, Meghan;Sims-Gould, Joanie
在过去的十年里，人们对老年人的流动性越来越感兴趣。大多数情况下，流动性是通过身体运动（例如身体活动）或旅行行为（例如旅行，模式和距离）来定量测量的。有必要整合长期的定量和定性数据，以便在空间和时间维度上直观地显示背景和内容，并发现其基本进程的模式和解释。我们的目标是通过展示如何使用接地可视化方法来探索老年人流动性的社会空间和时间复杂性来解决这一差距。我们提出了两个积极的社区（城市）居住的老年人与低收入（年龄> 65岁）谁住在大温哥华，加拿大，超过4年的时间。地理位置系统（GPS）（QStarz数据记录仪BT-Q1000 x）数据用于捕获参与者前往的目的地以及到达目的地的路线。调查数据提供了社会人口特征和邻里环境。访谈数据捕捉随着时间的推移对目的地和路线选择的看法、态度和动机。整合的方法确定了以下主题：邻里的空间感知，一致性的旅行模式，身体健康的变化，熟悉的地方和访问随着时间的推移。我们的可视化方法展示了如何将地理参考定性数据与定量空间数据相结合，以更深入地了解老年人随时间推移的移动体验的复杂性。研究结果表明，时间是老年人参与地方的必要组成部分;熟悉度影响当地和遥远的“邻里”的空间感知;老年人优先考虑的目的地，让他们从事多种活动。通过整合方法，我们能够更好地了解老年人在多个系统层面面临的挑战，并发现可用于补救的资源和资产。(C)2017爱思唯尔有限公司版权所有
In the past decade, there has been an increasing interest in older adults' mobility.Most often, mobility is measured quantitatively as physical movement (e.g. physical activity) or travel behavior (e.g. trips, modes, and distances). There is a need to integrate both quantitative and qualitative data over time to visualize both context and content in a spatial and temporal dimension and discover patterns and explanations for their underlying processes. We aim to address this gap by demonstrating how a grounded visualization approach can be used to explore sociospatial and temporal complexities of older adults' mobility. We present two cases of active community (urban) dwelling older adults with low incomes (age > 65) who live in Metro Vancouver, Canada, over a period of 4 years. Geographical Position Systems (GPS) (QStarz Datalogger BT-Q1000x) data is used to capture the destinations participants travel to and the routes they take to get there. Survey data provides socio-demographic characteristics and neighborhood environments. Interview data capture perceptions, attitudes, and motivations of destinations and route choices over time. Integration of the methods identified the following themes: spatial perceptions of neighborhood, consistency in travel patterns, changes in physical health, familiarity with place and access over time. Our grounded visualization approach demonstrates how georeferenced qualitative data can be combined with quantitative spatial data to provide a deeper understanding of the complexity of older adults' mobility experiences over time. Findings illustrate that time is a necessary component of older adults' engagement with place; familiarity influences spatial perceptions of local and distant 'neighbourhoods'; and older adults prioritize destinations that allow them to engage in multiple activities. By integrating methods we are able to gain a better understanding of challenges faced by older adults at multiple systems levels, and uncover resources and assets available to remediate them. (C) 2017 Elsevier Ltd. All rights reserved.