Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?
Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?
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DOI：
10.1007/s11524-010-9505-x
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发表时间：
2010-12-01
影响因子：
6.6
通讯作者：
Mavoa, Suzanne
中科院分区：
文献类型：
--
作者：
Badland, Hannah M.;Opit, Simon;Mavoa, Suzanne
越来越多的人认识到，社区建筑环境影响健康结果，如身体活动行为，技术进步现在提供了远程检查社区街景的机会。因此，本方法研究的目的是（1）比较在社区背景下进行物理和虚拟街景审计的效率，（2）评估物理之间的一致性水平与步行和骑自行车相关的建筑环境属性使用新西兰行人和骑自行车环境系统扫描进行了审计（NZ-SPACES）在奥克兰的四个街区的48个街道段中，新西兰的审计是在现场和远程进行的（使用谷歌街景）2010年1月和2月完成审计所需的时间，旅行里程，与实际审计相比，虚拟审计的速度更快（卡方= 115 3 mm（虚拟），卡方= 148 5 min（（physical））在醇厚中），指情况，实际和虚拟审计在可接受的一致性水平范围内（ICC >= 0 70）这项研究的方法论意义是，谷歌街景是一个潜在的有价值的数据源，用于测量的上下文特征，可能影响健康结果的社区街道总体而言，Google街景提供了一种资源有效且可靠的替代方案，可以对与步行和骑自行车相关的社区街景属性进行物理审计。
There is increasing recognition that the neighborhood built environment influences health outcomes, such as physical activity behaviors, and technological advancements now provide opportunities to examine the neighborhood streetscape remotely Accordingly, the aims of this methodological study are to (1) compare the efficiencies of physically and virtually conducting a streetscape audit within the neighborhood context, and (2) assess the level of agreement between the physical (criterion) and virtual (test) audits Built environment attributes associated with walking and cycling were audited using the New Zealand Systematic Pedestrian and Cycling Environment Scan (NZ-SPACES) in 48 street segments drawn from four neighborhoods in Auckland, New Zealand Audits were conducted physically (on site) and remotely (using Google Street View) in January and February 2010 Time taken to complete the audits, travel mileage, and Internet bandwidth used were also measured It vas quicker to conduct the virtual audits when compared with the physical audits (chi = 115 3 mm (virtual), chi = 148 5 min (physical)) In the mellow), of cases, the physical and virtual audits were within the acceptable levels of agreement (ICC >= 0 70) for the variables being assessed The methodological implication of this study is that Google Street View is a potentially valuable data source for measuring the contextual features of neighborhood streets that likely impact on health outcomes Overall, Google Street View provided a resource efficient and reliable alternative to physically auditing the attributes of neighborhood streetscapes associated with walking and cycling Supplementary data derived from other sources (e g, Geographical Information Systems) could be used to assess the less reliable streetscape variables