Department of Disease Control and Environmental Health, Makerere University College of Health Sciences, Kampala, Uganda
Department of Research, Infectious Diseases Institute (IDI), Kampala, Uganda.
Inj Prev. 2023 Aug;29(4):296-301. doi: 10.1136/ip-2022-044811. Epub 2023 Feb 1.
Examining community perspective on an issue is not only a key consideration in research on road safety but also on other topics. There is substantial theoretical and empirical knowledge on built environment factors that contribute to pedestrian injury but how the community views these factors is least studied and constitutes the focus of this study. Our study investigated how respondents ranked the relative importance of selected built environment factors that contribute to pedestrian injury risk in Kampala city, Uganda and examined the underlying pattern behind the rankings.
Eight hundred and fifty-one pedestrians selected from 14 different road sections in Kampala city were asked to rank each of the 27 built environment variables on a 4-point Likert scale. Point score analysis was used to calculate scores for the different built environment variables and rank them in order of perceived contribution while factor analysis was used to determine the pattern underlying the responses.
Factor analysis isolated two factors that explained 92% of the variation in respondents' rankings: 'road adjacent trip generators and attractors' and 'structure of traffic flows'. This finding implies that pedestrians in Kampala city perceived trip generators and attractors adjacent to the road and the structure of traffic flows as major explanations of the influence of the built environment on pedestrian injury risk.
While these rankings and factors identified may not necessarily equate to actual risk, they are important in providing an understanding of pedestrian injury risk from the perspective of the community.
研究社区对某一问题的看法不仅是道路安全研究的关键考虑因素，也是其他议题的关键考虑因素。关于有助于行人受伤的建筑环境因素，存在大量的理论和实证知识，但社区如何看待这些因素的研究最少，这也是本研究的重点。我们的研究调查了乌干达坎帕拉市的受访者如何对导致行人受伤风险的选定建筑环境因素的相对重要性进行排名，并探讨了排名背后的潜在模式。
从坎帕拉市的 14 个不同道路段中选择了 851 名行人，要求他们对 27 个建筑环境变量中的每一个进行 4 分制的李克特量表评分。点值分析用于计算不同建筑环境变量的得分并按感知贡献进行排序，而因子分析则用于确定响应背后的模式。
因子分析分离出两个因素，它们解释了受访者排名的 92%：“道路相邻出行生成器和吸引物”和“交通流结构”。这一发现表明，坎帕拉市的行人认为道路附近的出行生成器和吸引物以及交通流结构是建筑环境对行人受伤风险影响的主要解释因素。
虽然这些排名和确定的因素不一定等同于实际风险，但它们对于从社区角度理解行人受伤风险很重要。
