Understanding how accessibility shapes participation in leisure activities is central to promoting inclusive and vibrant urban life. Conventional accessibility measures often focus on potential access from fixed home locations, overlooking the constraints and opportunities embedded in daily routines. In this study, we apply a space-time accessibility (STA) metric rooted in the capability approach, capturing feasible leisure opportunities between home and work given a certain time budget, individual transport modes, and urban infrastructure. Using high-resolution GPS data from 2,415 working residents in the Paris region, we assess how STA influences leisure participation during weekdays, measured as the diversity of leisure locations visited and activity duration. Observed destination choices confirm that most individuals select leisure locations within their STA-defined opportunity sets, validating the metric as a proxy for capability sets. Structural equation modeling shows that STA exerts a significant positive total effect on leisure participation ($β= 0.14$, $p < .001$), driven by a significant direct effect ($β= 0.18$, $p < .001$) that is only modestly offset by an indirect pathway through reduced travel time ($β= -0.04$, $p < .01$). Individual attributes also directly shape participation: active mode use and higher education promote leisure engagement, while local poverty and caregiving responsibilities constrain it. These findings highlight the value of person-centered, capability-informed accessibility metrics for understanding inequalities in urban mobility and informing transport planning strategies that expand real freedoms to participate in social life across diverse population groups.
翻译:理解可达性如何形塑休闲活动参与,对于促进包容且充满活力的城市生活至关重要。传统可达性指标通常聚焦于固定居住地点的潜在可达性,忽视了日常工作轨迹中的约束与机遇。在本研究中,我们应用一种基于能力方法的时间-空间可达性(STA)度量,捕捉在给定时间预算、个体交通方式及城市基础设施下,通勤途中可行的休闲机会。利用来自巴黎地区2,415名在职居民的高分辨率全球定位系统(GPS)数据,我们评估STA如何影响工作日的休闲参与,并以到访休闲地点的多样性和活动时长作为测量指标。观测到的目的地选择证实,大多数个体在其STA定义的机会集内选择休闲地点,验证了该度量作为能力集的代理指标的有效性。结构方程模型表明,STA对休闲参与有显著的正向总效应(β=0.14, p<0.001),这由显著的直接效应(β=0.18, p<0.001)驱动,仅轻微被通过减少出行时间的间接路径(β=-0.04, p<0.01)所抵消。个体属性也直接塑造参与:积极出行方式和高等教育促进休闲参与,而本地贫困及照料责任则限制参与。这些发现凸显了以人为中心、基于能力的可达性指标在理解城市流动不平等及为交通规划策略提供信息方面的价值,这些策略旨在扩大不同人口群体参与社会生活的实际自由。