User Perceived Cycle Quality Index (IQVCPU) in Brasília DF - Brazil: Development and Modeling Using Structural Equations

Abstract This study aims to define the "Index of Bicycle Lanes Quality Perceived by Users” called “iBikeLane” for the purpose of evaluate the factors that influence the quality of bicycle trips in Brasilia, Brazil. To achieve this goal, a systematic literature review was conducted to identify, in the existing methods, factors that allows measure the bicycle trip quality. From the most relevant factors we define and analyze the latent variables (constructs) related by indicators that make up the iBikeLane. The data was collected through an on-line survey applied to cyclists of Brasilia. The analysis was carried out by the Structural Equation Model (SEM). The modelling determined that the index, in the perspective of the users, explain its use by up 36.48%. We also found seven factors that influence the quality of the trips in the bicycle lanes. We concluded that knowing the factors and the iBikeLane allows promoting the safe use of bicycle as a mode of transport in urban areas and subsidizing de development of sustainable mobility policy.

摘要：本研究旨在定义用户感知自行车道质量指数（Index of Bicycle Lanes Quality Perceived by Users），简称为iBikeLane，以评估巴西巴西利亚市自行车出行质量的影响因素。为达成该研究目标，本研究通过系统文献综述，从现有研究方法中筛选出可用于衡量自行车出行质量的影响因子。基于筛选出的核心影响因子，本研究对构成iBikeLane的各指标所关联的潜变量（构念）进行了定义与分析。研究数据通过面向巴西利亚自行车骑行者发放的线上问卷收集所得。分析环节采用结构方程模型（SEM）完成。建模结果表明，从用户视角出发，该指数对自行车出行使用行为的解释力可达36.48%。本研究同时识别出7项影响自行车道出行质量的核心因子。最终结论显示，明晰该指数与相关影响因子，可助力推广自行车作为城市通勤交通方式的安全应用，并为可持续交通出行政策的制定提供决策支撑。