Perceptions of the environment moderate the effects of objectively-measured built environment attributes on active transport. An ACTI-Cités study
Introduction
Researchers and policymakers worldwide aim at developing sustainable strategies to promote population-level physical activity (World Health Organization, 2010), with increased interest in active transport and the potential to shift from car trips to walking and cycling (Rabl and de Nazelle, 2012). Evidence suggests that higher levels of active transport benefit population health by protecting against major chronic diseases and reducing negative effects of motorized transport (e.g. gas emissions, air and noise pollution, traffic congestion, road fatalities, etc.) (Mueller et al., 2015; Xia et al., 2013).
The influence of the built environment on active transport is increasingly understood (Smith et al., 2017). Observational, experimental, and quasi-experimental studies have consistently shown an association between walking and/or cycling and the characteristics of “walkable/cyclable” neighborhoods (McCormack and Shiell, 2011; Smith et al., 2017), including the mix of land use, a high degree of street connectivity, good access to amenities, and an active-friendly transport infrastructure (Ewing and Cervero, 2010).
Contrasting findings have been reported depending on whether the built environment is measured objectively or assessed based on individuals' perceptions (Lin and Moudon, 2010; Ma and Dill, 2015; McCormack and Shiell, 2011; Owen et al., 2004; Saelens and Handy, 2008). Objective measurements of environmental attributes are typically obtained from systematic observations based on street or virtual audits or geographic information systems (GIS) based on existing spatial databases (Brownson et al., 2009), while perceptions are generally assessed using interviews or self-administered questionnaires. Studies that combined objectively and subjectively measured environmental variables in relation to active transport generally referred to different neighborhood domains, with subjective measurement relating to immaterial attributes (e.g., safety, aesthetics), and objective measures relating to physical attributes of neighborhood (e.g., urban design, land use). Most studies did not investigate whether and how the effects of perceived or objective measurements of the same environmental attribute differ in their relation with active transport. Despite its methodological importance, little evidence to date clarified the mechanisms linking objective measures of neighborhood attributes, individual's perceptions and active transport.
The current study focuses on active transport as the outcome, assessing both active transport for commuting and active transport for errands, as recommended in previous literature, since different correlates might relate to different trip purposes (Perchoux et al., 2019). We aimed to investigate (i) the concordance between perceptions and objective measurements of selected, residential-based built environment attributes expected to relate to active transport, (ii) the independent associations of perceived and objective environmental attributes with active transport, and (iii) the potential moderation effect of perceptions on the relation between objective measurements of built environment attributes and active transport. In the analyses, we took into account the likelihood to engage in active transport and for those reporting active transport the time spent active during transport.
Section snippets
Literature review
Objective measurements and perception of neighborhood attributes differ substantially (Roda et al., 2016): the first provides an inventory of built environment attributes, while the other relies on the cognitive construct, representations, and appropriation state that individuals develop with their neighborhood. Concordance analyses between self-reported and objective measurements of built environment attributes such as street connectivity, land use mix, and retail density showed a poor level
Ethics statement
This study was approved by the Comité National Informatique et Liberté (CNIL no. 908450, no. 909216, and DR-2012-576). The NutriNet-Santé Study (see below) was approved by the Institutional Review Board of the French Institute for Health and Medical Research (IRB Inserm no. 0000388FWA00005831). Written informed consent was obtained from all subjects.
Participants and study area
The participants in the ACTI-Cités study were a subgroup of the NutriNet-Santé cohort, who completed a questionnaire on the perceived residential
Sample attributes
The socio-demographic characteristics and descriptive statistics of active transport are presented in Table 2. Most participants in the study were middle-aged, with a majority of women (77.4 percent), and highly educated (70 percent with a two-year university degree or higher). Among the 1556 participants reporting commuting to work, 53 percent reported no active transport while the remaining 47 percent reported a mean (SD) duration of 137.6 (155.1) minutes per week of active commuting. Among
Discussion
This study provides evidence of a poor to fair level of agreement between perceptions and objective measurements of built environment attributes; and both are associated with active transport for commuting and errands. Environmental correlates differ between the likelihood to engage in active transport and the time spent in transport activity. Perceptions of environmental attributes positively moderate the association between objectively-measured environmental attributes (walkability and access
Conclusion
The present study contributes to existing knowledge about the mismatch between individuals' perceptions and objectively-measured environmental attributes, while specifically focusing on active transport. Importantly, stressing the potential modifying effect of individuals' perceptions of their environment, our findings support the suggestion that the environmental influence on active transport for commuting and errands is dependent on individuals’ perceptions of their residential environment.
Financial disclosure
This work is part of the ACTI-Cités project (coordinator: J.M. Oppert) carried out with financial support from the French National Cancer Institute (Institut National du Cancer, INCa) through the social sciences and humanities, and public health program (2011-1-PL-SHS-10).
The NutriNet-Santé cohort study is funded by the following public institutions: Ministère de la Santé, Institut de Veille Sanitaire (InVS), Institut National de la Prévention et de l’Education pour la Santé (INPES), Fondation
CRediT authorship contribution statement
Marine M. Desgeorges: Conceptualization, Methodology, Formal analysis, Writing - original draft. Julie-Anne Nazare: Conceptualization, Methodology, Writing - original draft, Supervision. Christophe Enaux: Methodology, Writing - review & editing. Jean-Michel Oppert: Project administration, Writing - review & editing, Funding acquisition. Mehdi Menai: Writing - review & editing. Hélène Charreire: Project administration, Writing - review & editing. Paul Salze: Methodology, Writing - review &
Declaration of competing interest
None.
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