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The benefits of cycling have been well established for several decades. It can improve public health and make cities more active and environmentally friendly. Due to the significant net benefits, many local governments in Scotland have promoted cycling. Glasgow City Council constructed four significant pieces of cycling infrastructure between 2013 and 2015, partly in preparation for the 2014 Commonwealth Games and partly to encourage cycling more generally. This required substantial capital investment. However, the effectiveness of these big new infrastructure investments has not been well examined, mostly due to data limitations. In this study, we utilised data from the activity tracking app Strava for the years 2013–2016 and fixed effects panel data regression models to examine whether the new cycling infrastructure has increased cycling volumes on these routes. Our results show that three of the infrastructure projects have a positive effect on the monthly total volume of cycling trips made by users of the app, with flows up by around 12% to 18%. Although this result is promising, it needs to be interpreted with care due to the characteristics of the data.

ABSTRACTVarious methods for statistical analysis of data are available to clinicians and researchers. Meta‐analysis is a tool by which small, related studies are identified and, through systematic review, are combined into a common data pool for a single, larger population analysis. As with all statistical methods, there are indications and contraindications for the use of meta‐analysis. Additionally, meta‐analysis is dependent upon the quality of data applied, the bias of the test itself, and the interpretation of the results. This article will discuss these aspects of meta‐analysis, including the history of its development and usage in the scientific community, basic terminology, and a relevant literature review.

This research employs novel techniques to examine older learners' journeys, educationally and physically, in order to gain a 'three-dimensional' picture of lifelong learning in the modern urban context of Glasgow. The data offers preliminary analyses of an ongoing 1500 household survey by the Urban Big Data Centre (UBDC). A sample of 1037, with 377 older adults aged 60+, was examined to understand older learner engagement in formal, in-formal, non-formal and family-learning contexts. Preliminary findings indicate that all forms of older learning participation are lower than younger and middle-age counterparts. However, there is a subset of 'actively ageing', socially and technologically engaged older adult 'learner-citizens', participating in educational, physical, cultural, civic and online activities (including online political discussions and boycotts). These older learners were more likely to be working, caretakers and report better health overall. Long-term disabilities were associated with less engagement in non-formal learning activities. Additionally, engaged older learners' GPS trails show more city activity than their matched non-learning-engaged counterparts. Place-based variables, such as feeling safe and belonging to the local area, moderated adult participation in learning activities. The full data-set will be accessible to researchers and the general public via UBDC, providing a complex data source to explore demographically diverse learners' within an urban context.

Some 30 years after Glasgow turned towards regeneration, indicators of its built environment, its health, its economic performance and its quality of life remain below UK averages. This interdisciplinary study examines the ongoing transformation of Glasgow as it transitioned from a de-industrial to a post-industrial city during the 20th and 21st centuries. Looking at the diverse issues of urban policy, regeneration and economic and social change, it considers the evolving lived experiences of Glaswegians. Contributors explore the actions required to secure the gains of regeneration and create an economically competitive, socially just and sustainable city, establishing a theory that moves beyond post-industrialism and serves as a model for similar cities globally