研究视觉与非视觉元素与不同出行目的下骑行者路线选择之间的关联

中文摘要 AI 辅助

了解骑行者对建成环境特征的偏好对于促进可持续城市交通和积极出行很重要。尽管此前有关于骑行者路线选择的研究，但视觉和非视觉因素对不同出行目的选择的影响仍不明确。本文通过加拿大蒙特利尔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，视觉因素涉及骑行时的视觉感知并通过街景图像计算得出。研究分两部分，一部分分析时空信息探索骑行起点和终点间的非视觉因素，另一部分研究最短路径与实际路径间这些因素分布的差异。结果揭示了影响积极骑行选择的时空特征，如绿化增加和机动车化程度降低。这些见解可为街道网络规划和基础设施发展提供参考以改善积极交通的使用。

英文摘要

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.

发表机构

• Department of Architecture, National University of Singapore（新加坡国立大学建筑系）
• Department of Real Estate, National University of Singapore（新加坡国立大学房地产系）

机构由 AI 辅助整理，请以论文原文为准。