分析骑行者不同出行目的下的视觉与非视觉因素影响
Examining the Associations between Visual and Non-Visual Elements and Cyclists' Route Choices for Various Trip Purposes
- 用街景图像分析骑行时的视觉感知，结合社会经济和二维环境数据
- 发现绿地增多、机动车化程度低更易吸引骑行者选择路线
- 适合城市规划者优化慢行交通网络与基础设施设计
了解骑行者对建成环境特征的偏好，对推动可持续城市交通和主动出行至关重要。尽管已有研究关注骑行路线选择，但视觉与非视觉因素对不同出行目的下路线选择的影响仍不明确。本文通过蒙特利尔市的数据驱动案例研究填补这一空白。非视觉因素包括社会经济因素和二维环境，视觉因素则基于街景图像计算骑行过程中的视觉感知。研究分为两部分：一是分析起点到终点之间的时空信息以探究非视觉因素；二是比较最短路径与实际路径间各类因素分布差异。结果揭示了影响主动出行选择的时空特征，如绿地增加、机动车化水平降低等。这些发现可为街道网络规划和基础设施建设提供支持，提升步行与骑行出行使用率。
原文摘要 · Abstract (English)
Understanding cyclist preferences for the characteristics of the built environment is important in promoting sustainable urban transportation and active mobility. Despite previous studies on cyclists' route choices, the influence of visual and non-visual factors on these choices for different trip purposes remains unclear; thus, this paper fills this gap through a data-driven case study in Montreal, Canada. Non-visual factors include socioeconomic factors and two-dimensional environments, while visual factors involve visual perception during cycling and are computed using street view images. The study consists of two parts: one part analyzes spatiotemporal information to explore the non-visual factors between the start and end points of cycling trips, and the other part investigates the discrepancies in distributions of these factors between the shortest path and the actual one. The findings reveal the spatiotemporal characteristics that influence active riding choices, such as increased greenery and lower levels of motorization. These insights can inform the planning of street networks and the development of infrastructure to improve the use of active transportation.
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