Learnings from public life in order to rethink post-corona cities: A human-centered approach to the use of data in urban planning

The outbreak of the COVID-19 pandemic has profoundly impacted cities around the world and raised fundamental questions about urban development. How do we better upgrade infrastructure? How do we ensure affordability? How do we protect and restore open and green areas? And how do we enhance overall livability for all? It’s clear that the coronavirus will have, and is already having, a profound effect on how we answer those questions and the overall direction that today’s and the built environment of the future will take. Learning from the use of public space during the pandemic, has shown us the need for rethinking across content how to better create health promoting cities for everyone. From this perspective, this article focuses on the imperative role of collecting and analysing ‘thick data’, qualitative information that can reveal social context and a deeper understanding about how people’s behaviour has been impacted in a time of crisis.The outbreak of the COVID-19 pandemic has profoundly impacted cities around the world and raised fundamental questions about urban development. How do we better upgrade infrastructure? How do we ensure affordability? How do we protect and restore open and green areas? And how do we enhance overall livability for all? It’s clear that the coronavirus will have, and is already having, a profound effect on how we answer those questions and the overall direction that today’s and the built environment of the future will take. Learning from the use of public space during the pandemic, has shown us the need for rethinking across content how to better create health promoting cities for everyone. From this perspective, this article focuses on the imperative role of collecting and analysing ‘thick data’, qualitative information that can reveal social context and a deeper understanding about how people’s behaviour has been impacted in a time of crisis

Four cases on market orientation of value chains in agribusiness and fisheries

This working paper presents results from the project ‘Supra-company level determinants of degree of market orientation of value chains in agriculture and fisheries’, which is carried out in cooperation between MAPP – Centre for Research on Customer Relations in the Food Sector, Aarhus School of Business, Denmark, the Norwegian College of Fisheries Science, University of Tromsø, Norway, and the Department of Marketing, University of Stirling, Scotland. It has benefited from grants from the Danish Social Science Research Council and from the Norwegian Research Council. The present working paper is the ‘long’ version of the empirical work in the first major phase of the project, where we study four examples of food value chains to get insight into their degree of market orientation and possible determinants. The insights gained here have been used in subsequent empirical work that is currently underwayMarket orientation;

Changes in Physical Performance and their Association with Health Related Quality of Life in a Mixed Non-ischemic Cardiac Population

Purpose: Exercise-based cardiac rehabilitation (CR) improves physical performance and healthrelated quality of life (HRQoL). However, whether improvements in physical performance are associated with changes in both generic and disease-specific HRQoL has not been adequately investigated in a non-ischemic cardiac population. Methods Patients who were ablated for atrial fibrillation, who underwent heart valve surgery or who were treated for infective endocarditis and who participated in one of three randomised control rehabilitation trials were eligible for the current study. Change in physical performance and HRQoL were measured before and after a 12-week exercise intervention. Physical performance was assessed using a cardiopulmonary exercise test, a 6-min walk test and a sit-to-stand test. HRQoL were assessed using the generic Short-Form-36 and the disease-specific HeartQoL questionnaire. Spearman’s correlation coefficient (rho) and linear regressions quantified the association between changes in physical outcome measures and changes in HRQoL. Results A total of 344 patients were included (mean age 60.8 (11.6) years and 77% males). Associations between changes in physical outcome measures and HRQoL ranged from very weak to weak (Spearman’s correlation coefficient = -0.056-0.228). The observed associations were more dominant within physical dimensions of the HRQoL compared to mental or emotional dimensions. Adjusted for sex, age and diagnosis changes in physical performance explained no more than 20% of the variation in the HRQoL. Conclusion Our findings show that the positive improvement in HRQoL from exercise-based CR cannot simply be explained by an improvement in physical performance