分析日常流动：探索威尼斯共享微型移动的影响因素
Analyzing the daily flows: Exploring shared micro-mobility factors in Venice
中文总结 AI 辅助
本研究以威尼斯为对象，用广义加性混合模型分析158401个OD-日观测数据，发现气温、降雨、PM10等环境因素及时间、位置会影响共享微型移动需求，凸显环境敏感性的重要性。
中文摘要 AI 辅助
共享微型移动已成为可持续城市交通系统的关键组成部分，但关于环境因素如何影响特定起讫点（OD）位置间移动需求的研究有限。本研究将需求侧视角的研究延伸至探索时间与环境条件如何塑造威尼斯的日常共享微型移动流动。该研究分析了两年间50个空间区域内158401个OD-日观测值的重复变化，将每日气温、降雨量和PM10浓度与每个OD-日观测值关联，同时考虑车辆乘客构成和时间模式，分析单元为OD对之间的连接。本研究采用广义加性混合模型（GAMM）来表征环境关系跨季节的非线性，提供了理解气候条件如何影响可持续移动行为的灵活框架。结果显示，气温与移动需求之间存在显著的跨季节非线性关联；高降雨量与需求降低相关，其中中雨和大雨导致的需求降幅大于干燥天气；PM10与共享移动使用的关系具有季节性，形成了规避与采用机制而非单调关联。在调整环境和时间因素后，利多岛在8月和9月的需求持续上升仍明显存在，凸显了两年间特定位置的移动模式。本研究强调了环境敏感性在共享微型移动研究中的重要性，表明共享自行车和电动自行车的采用不仅取决于服务可用性，还受外部条件影响的使用模式决定。
英文摘要
Shared micro-mobility has emerged as a key component of a sustainable urban transportation system, however, limited research exists on how environmental factors influence the mobility demand between specific origin-destination (OD) locations. This work extends research on the demand-side perspective to explore how temporal and environmental conditions shape daily shared micro-mobility flows in Venice. The study analyses repeated variation across 158,401 OD-day observations for two years in 50 spatial zones. Daily temperature, rainfall, and PM10 concentrations are linked to each OD-day observation while accounting for vehicle-pass composition and temporal patterns. Here, the unit of analysis is the connection between OD pairs. A generalised additive mixed model (GAMM) is used to represent the non-linearity of environmental relationships across seasons, providing a flexible framework for understanding how climatic conditions influence sustainable mobility behaviour. The results show a significant nonlinear association between temperature and mobility demand across seasons. High rainfall is associated with reduced demand, with larger reductions under moderate and heavy rainfall than on dry days. The relationship between PM10 and shared mobility use was season-dependent, creating an avoidance-versus-adoption mechanism rather than a monotonic association. After adjustment for environmental and temporal factors, a recurring increase in demand within the Lido Islands during August and September remained evident, highlighting a location-specific mobility pattern across two years. The study highlights the importance of environmental sensitivity in shared micro-mobility research. This work illustrates that the adoption of shared bikes and electric bikes depends not only on service availability but also on usage patterns, which are affected by external conditions.
