Koohsari Mohammad Javad, Badland Hannah, Sugiyama Takemi, Mavoa Suzanne, Christian Hayley, Giles-Corti Billie
Behavioural Epidemiology Laboratory, Baker IDI Heart and Diabetes Institute, Melbourne, Australia,
J Urban Health. 2015 Apr;92(2):242-52. doi: 10.1007/s11524-014-9928-x.
Studies on the mismatch between objective and perceived measures of walkability and walking provide insights into targeting interventions. These studies focused on those living in more walkable environments, but perceiving them as less walkable. However, it is equally important to understand how the other mismatch (living in less walkable areas, but perceiving them as walkable) is related to walking. This study examined how the mismatch between perceived and objective walkability measures (i.e., living in less walkable areas, but perceiving them as walkable, and living in more walkable areas, but perceiving them as less walkable) was associated with walking. Baseline data from adult participants (n = 1466) of the RESIDential Environment Project (Perth, Australia in 2004-06) collected self-report neighborhood walking for recreation and transport in a usual week and participants' perceptions of street connectivity and land use mix in their neighborhood. The exposure was the mismatch between objective and perceived measures of these. Multilevel logistic regression examined associations of walking with the mismatch between perceived and objective walkability measures. Perceiving high walkable attributes as low walkable was associated with lower levels of walking, while perceiving a low walkable attribute as walkable was associated with higher levels of walking. Walking interventions must create more pedestrian-friendly environments as well as target residents' perceptions.
关于可步行性的客观指标与主观感受之间不匹配情况的研究,为确定干预目标提供了见解。这些研究聚焦于生活在步行便利性较高环境中,但却认为其步行便利性较低的人群。然而,了解另一种不匹配情况(生活在步行便利性较低的区域,但却认为其步行便利性较高)与步行之间的关系同样重要。本研究探讨了可步行性的主观指标与客观指标之间的不匹配(即生活在步行便利性较低的区域,但却认为其步行便利性较高,以及生活在步行便利性较高的区域,但却认为其步行便利性较低)与步行之间的关联。来自住宅环境项目(2004 - 2006年,澳大利亚珀斯)成年参与者(n = 1466)的基线数据,收集了他们在平常一周内用于休闲和出行的邻里步行情况,以及参与者对邻里街道连通性和土地利用混合情况的感知。暴露因素是这些指标的客观与主观测量之间的不匹配。多水平逻辑回归分析了步行与可步行性主观指标和客观指标之间不匹配情况的关联。将高可步行属性视为低可步行与较低的步行水平相关,而将低可步行属性视为可步行则与较高的步行水平相关。步行干预措施必须营造更适合行人的环境,并针对居民的认知。