Oliver Lisa N, Schuurman Nadine, Hall Alexander W
Department of Geography, Simon Fraser University, Burnaby, British Columbia, Canada.
Int J Health Geogr. 2007 Sep 20;6:41. doi: 10.1186/1476-072X-6-41.
There is increasing interest in examining the influence of the built environment on physical activity. High-resolution data in a geographic information system is increasingly being used to measure salient aspects of the built environment and studies often use circular or road network buffers to measure land use around an individual's home address. However, little research has examined the extent to which the selection of circular or road network buffers influences the results of analysis. The objective of this study is to examine the influence of land use type (residential, commercial, recreational and park land and institutional land) on 'walking for leisure' and 'walking for errands' using 1 km circular and line-based road network buffers. Data on individual walking patterns is obtained from a survey of 1311 respondents in greater Vancouver and respondent's postal code centroids were used to construct the individual buffers. Logistic regression was used for statistical analysis.
Using line-based road network buffers, increasing proportion of institutional land significantly reduced the odds of 'walking for leisure 15 minutes or less per day' no significant results were found for circular buffers. A greater proportion of residential land significantly increased the odds of 'walking for errands less than 1 hour per week' for line-based road network buffer while no significant results for circular buffers. An increased proportion of commercial land significantly decreased the odds of 'walking for errands less than 1 hour per week' for both circular and line-based road network buffers.
The selection of network or circular buffers has a considerable influence on the results of analysis. Land use characteristics generally show greater associations with walking using line-based road network buffers than circular buffers. These results show that researchers need to carefully consider the most appropriate buffer with which to calculate land use characteristics.
人们越来越关注建成环境对身体活动的影响。地理信息系统中的高分辨率数据越来越多地用于测量建成环境的显著特征,并且研究通常使用圆形或道路网络缓冲区来测量个人家庭住址周围的土地利用情况。然而,很少有研究探讨圆形或道路网络缓冲区的选择在多大程度上会影响分析结果。本研究的目的是使用1公里的圆形缓冲区和基于线路的道路网络缓冲区,研究土地利用类型(住宅用地、商业用地、休闲娱乐用地、公园用地和公共机构用地)对“休闲步行”和“外出办事步行”的影响。个人步行模式的数据来自对大温哥华地区1311名受访者的调查,受访者的邮政编码中心用于构建个人缓冲区。采用逻辑回归进行统计分析。
使用基于线路的道路网络缓冲区时,公共机构用地比例的增加显著降低了“每天休闲步行15分钟或更少”的几率;而圆形缓冲区则未发现显著结果。对于基于线路的道路网络缓冲区,更大比例的住宅用地显著增加了“每周外出办事步行少于1小时”的几率;而圆形缓冲区则未发现显著结果。商业用地比例的增加显著降低了圆形缓冲区和基于线路的道路网络缓冲区“每周外出办事步行少于1小时”的几率。
网络缓冲区或圆形缓冲区的选择对分析结果有相当大的影响。土地利用特征与基于线路的道路网络缓冲区步行的关联通常比与圆形缓冲区步行的关联更强。这些结果表明,研究人员需要仔细考虑用于计算土地利用特征的最合适缓冲区。