Shopping malls and neoliberal trends in Southern European cities: Post-metropolitan challenges for urban planning policy

Whilst shopping malls have been explored at length by critical urban studies, there has been little exploration of their role in restructuring the practice of urban and spatial planning. This article uses the shopping mall as an object of study in the light of the neoliberal trends and post-metropolisation in Southern Europe, with the aim of exploring challenges for urban governance and planning practice and with a focus on the role of the ongoing economic crisis. A threefold exploratory framework – the ‘lost-in-time scenario’, the ‘messianic mall model’ and the ‘(im)mature planning explanation’ – is used to make sense of the local versions of shopping mall development in Lisbon (Portugal) and Palermo (Southern Italy). According to findings, we highlight the clash between the multi-scalar nature of shopping malls and the dominance of the municipal scale in regulatory planning frameworks, and the risk that shopping mall development (at least in Southern Europe) may replicate uneven development patterns, reproducing the pre-conditions of the crisis without helping to overcome it.

Cities: The Juncker Commission should not miss this key to growth, jobs and the environment. CEPS Commentary, 3 October 2014

Cities, more particularly ‘smart’ cities, could become a catalyst for economic and social development. For this to happen, Europe will need a new type of integrated infrastructure, a new urban governance and policy structure, as well as new finance and business models. Successful smart projects will eventually develop into new business models and companies. While the European Commission cannot mandate or regulate this top down, it has a role to play in nurturing new initiatives to allow Europe the possibility of developing its own Google and Apple.

European Energy and Industrial Policy Realigned: Risk or Opportunity for EU Eco-Innovation Strategy? IES Policy Brief Issue 2014/03/February 2014

Summary. Europe’s eco-innovation strategy fuses industrial, energy and environmental policy together in a concept for sustainable economic growth in the 21st century. The latest debate about high energy prices and their impact on energy-intensive industry shows, however, that the emphasis among the three policies has shifted over the years. Some adjustments are therefore necessary in order to reduce evolving inconsistencies. This Policy Brief describes the different dimensions of the EU’s industrial policy, and assesses the options available to policy-makers to increase the competitiveness of energy-intensive sectors without compromising the eco-innovation and sustainability agenda. If several key principles of the European sustainability agenda remain unchanged, strategic development is possible.

Measuring progress in eco-innovation. CEPS Working Document No. 409/June 2015

Eco-innovation has been identified as one of the key drivers of change that need to be harnessed for a sustainable future. Given the complexity of eco-innovation as a concept, there are various challenges to measuring its progress. This paper briefly explores the evolution of the concept of eco-innovation and emphasises its role in the EU 2020 strategy. It then provides an overview of the different measurement approaches and challenges associated with identifying and using indicators for measuring progress in eco-innovation. Within this context, the paper describes the added value and key features of the www.measuring-progress.eu web tool, which aims to improve the way in which policy-makers and others involved in the policy process can access, understand and use indicators for green economy and eco-innovation. The web tool was developed on the basis of a systematic overview by the NETGREEN research team of the large and fragmented body of work in the field of green economy indicators. The paper concludes with a number of messages for policy-makers in the field of the green economy.

The effect of extreme cold temperatures on the risk of death in the two major Portuguese cities

It is well known that meteorological conditions influence the comfort and human health. Southern European countries, including Portugal, show the highest mortality rates during winter, but the effects of extreme cold temperatures in Portugal have never been estimated. The objective of this study was the estimation of the effect of extreme cold temperatures on the risk of death in Lisbon and Oporto, aiming the production of scientific evidence for the development of a real-time health warning system. Poisson regression models combined with distributed lag non-linear models were applied to assess the exposure-response relation and lag patterns of the association between minimum temperature and all-causes mortality and between minimum temperature and circulatory and respiratory system diseases mortality from 1992 to 2012, stratified by age, for the period from November to March. The analysis was adjusted for over dispersion and population size, for the confounding effect of influenza epidemics and controlled for long-term trend, seasonality and day of the week. Results showed that the effect of cold temperatures in mortality was not immediate, presenting a 1–2-day delay, reaching maximumincreased risk of death after 6–7 days and lasting up to 20–28 days. The overall effect was generally higher and more persistent in Lisbon than in Oporto, particularly for circulatory and respiratory mortality and for the elderly. Exposure to cold temperatures is an important public health problem for a relevant part of the Portuguese population, in particular in Lisbon.

Granular computing as a basis of human–data interaction: a cognitive cities use case

The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite for data legibility. As such, it allows for extending the research agenda of HDI to encompass the topic of collective intelligence amplification, which is seen as an opportunity of today’s increasingly pervasive computing environments. As an example of collective intelligence amplification in HDI, we introduce a collaborative urban planning use case in a cognitive city environment and show how an iterative process of user input and human-oriented automated data processing can support collective decision making. As a basis for automated human-oriented data processing, we use the spatial granular calculus of granular geometry.