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As demonstrated in many earlier studies, the qualities of physical environment have great impacts on physical activity (PA) behavior. However, studying individual built-environment variables often produces contradictory effects between studies. To overcome this, we composed multivariate environment types using principal component analysis that takes notice of the inter-correlations between physical-environment variables. To get a realistic view of the places children and adolescents visit in their daily life, we used mapping methodology in which children themselves defined their important places. Based on 16 built-environment variables, six built-environment types were composed around these places.We found that walking and cycling were most prominent in residential environments and least common in mixed-use business districts. Areas with big commercial buildings as well as green environments had the highest proportions of car use. Most places, in general, were visited with friends, but most typically areas with big commercial buildings and mixed-use business districts were reached in the company of friends. Relatively many places were visited alone in residential areas.

Active commuting to work (ACW) is beneficial to traffic, environment and population health. More evidence is needed on effective ways to promote ACW. This paper describes the protocol and baseline findings of a cluster-randomized controlled study, which aims to promote ACW with multilevel strategies in two large workplace areas in Tampere, Finland. In Phase 1, the impacts of environmental strategies (trail improvements) were evaluated in 11 workplaces within Area 1. In Phase 2, five more workplaces were recruited from Area 2 to evaluate the impacts of social and behavioral strategies customized for each workplace. For this purpose, the workplaces in both areas were randomly assigned into experimental group (EXP, n = 6 + 2), which promoted ACW with social and behavioral strategies or into comparison group (COM, n = 5 + 3), which participated in the data collection only. The primary indicator in both phases is the change in employees’ ACW. Secondary indicators are e.g., changes in employees’ self-rated health, wellbeing at work, restrictions to and motivation for ACW, adverse effects due to ACW and the use and quality of the main walking and cycling trails. Also process, efficiency and environmental evaluation is included. The study is the first one in Finland to combine interdisciplinary collaboration between practitioners and researchers working in the fields of transportation, urban design, physical activity and sustainable development to promote ACW. The findings benefit all stakeholders interested in promoting ACW in urban context.

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