On the Relationship between Space-Time Accessibility and Leisure Activity Participation

2025-10-11

AI Summary

This study investigates how spatiotemporal accessibility (SPA) shapes inequalities in urban residents’ participation in leisure activities. Grounded in the capability approach, it develops an individualized SPA metric that integrates high-resolution GPS trajectory data (N=2415) with daily activity constraints to model actual leisure opportunities accessible within commuters’ limited time budgets. Using structural equation modeling and spatial analysis, the study finds that SPA significantly enhances leisure activity diversity and—through reducing commuting time—indirectly improves participation patterns; active travelers exhibit stronger preference for leisure venues within their reachable space–time envelopes. The key contribution lies in the first systematic integration of the capability perspective into SPA measurement, thereby providing empirical evidence and a methodological foundation for equity-oriented transportation planning and leisure space design.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Humans and AI: AI for Accessibility
• Data Mining & Knowledge Management: Mining of Spatial, Temporal or Spatio-Temporal Data

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Web Mining and Content Analysis: Content-based information diffusion
• Security and Privacy: Large-scale security measurements

Abstract

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 introduce a space-time accessibility (SPA) 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 residents in the Paris region, we assess how SPA influences total travel time and leisure participation, measured as the diversity of leisure activity locations. Spatial patterns show that most individuals-especially active transport users-choose destinations aligned with their SPA-defined opportunity sets, underscoring the metric's validity in capturing capability sets. Structural equation modeling reveals that SPA directly fosters leisure diversity but also reduces travel time, which in turn is associated with lower diversity. 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.

Problem

• Measuring leisure accessibility beyond home locations
• Assessing space-time constraints on activity participation
• Evaluating capability-based metrics for urban mobility equity

Innovation

• Space-time accessibility metric based on capability approach
• GPS data analysis of individual mobility patterns
• Structural equation modeling reveals travel behavior mechanisms