Space–time accessibility supports participation in after-work leisure activities
Artikel i vetenskaplig tidskrift, 2026

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 2415 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.

Human capability approach

Space–time accessibility

Third-place activities

Structural equation modeling

Transportation equity

Urban mobility behavior

Författare

Y. Liao

Danmarks Tekniske Universitet (DTU)

Rafael H.M. Pereira

Institute for Applied Economic Research (Ipea)

Jorge Gil

Chalmers, Arkitektur och samhällsbyggnadsteknik, Stadsbyggnad

Silvia De Sojo Caso

Danmarks Tekniske Universitet (DTU)

Laura Alessandretti

Danmarks Tekniske Universitet (DTU)

Journal of Transport Geography

0966-6923 (ISSN)

Vol. 136 104780

Användning av stora datamängder för att omdefiniera upplevd social segregation: hur den styrs av rörlighet, byggd miljö och bostadsort

Vetenskapsrådet (VR) (2022-06215), 2023-03-01 -- 2026-02-28.

Ämneskategorier (SSIF 2025)

Social och ekonomisk geografi

Övrig annan samhällsvetenskap

DOI

10.1016/j.jtrangeo.2026.104780

Relaterade dataset

Code [dataset]

URI: https://github.com/TheYuanLiao/netmob25

Mer information

Senast uppdaterat

2026-08-10