Effects of demand estimates on the evaluation and optimality of service centre locations

Public service systems, such as emergency health care, police or fire brigades, are critical for day-to-day functioning of the society. To design and operate these systems efficiently much data needs to be collected and properly utilised. Here, we use the OpenStreetMap (OSM) data to model the demand points (DPs), which approximate the geographical location of customers, and the road network, which is used to access or distribute services. We consider all inhabitants as customers, and therefore to estimate the demand, we use the available population grids. People are changing their location in the course of the day and thus the demand for services is changing accordingly. In this paper, we investigate how the used demand estimate affects the optimal design of a public service system. We calculate and compare efficient designs corresponding to two demand models, a night-time demand model when the majority of inhabitants rest at home and the demand model derived from the 24-hour average of the population density. We propose a simple measure to quantify the differences between population grids and we estimate how the size of differences affects the optimal structure of a public service system. Our analyses reveal that the efficiency of the service system is not only dependent on the placement strategy, but an inappropriate demand model has significant effects when designing a system as well as when evaluating its efficiency.     

The importance and limitations of social networks and social identities for labour market integration: The case of Ghanaian immigrants in Bergen,Norway

Whereas refugees and larger immigrant groups’ integration in the Norwegian labour market has received considerable research attention, less is known about the labour market integration of small, non-refugee immigrant groups from West African countries such as Ghana. The purpose of the article is to examine the role of social networks and social identities for the differentiated labour market integration outcomes among Ghanaian immigrants in the city of Bergen. Based on data produced through in-depth interviews, participant observation and informal conversations, the authors argue that Ghanaian immigrants’ ability to obtain jobs is determined by more than simply having the appropriate educational and language qualifications, and largely depends on having favourable social identities and being embedded in social networks beyond the Ghanaian immigrant community. They find that those who mainly relied on Ghanaian networks found it difficult to circumvent labour market hindrances and they predominantly obtained menial jobs. The authors conclude that Norwegian job-seekers networks played a crucial role in the immigrants’ opportunities and for potential Norwegian employers’ perception of their employability, especially in professional and semi-professional jobs.     

Increasing the detail of European land use/cover data by combining heterogeneous data sets

ABSTRACT

Data on land use and land cover (LULC) are a vital input for policy-relevant research, such as modelling of the human population, socioeconomic activities, transportation, environment, and their interactions. In Europe, CORINE Land Cover has been the only data set covering the entire continent consistently, but with rather limited spatial detail. Other data sets have provided much better detail, but either have covered only a fraction of Europe (e.g. Urban Atlas) or have been thematically restricted (e.g. Copernicus High Resolution Layers). In this study, we processed and combined diverse LULC data to create a harmonised, ready-to-use map covering 41 countries. By doing so, we increased the spatial detail (from 25 to one hectare) and the thematic detail (by seven additional LULC classes) compared to the CORINE Land Cover. Importantly, we decomposed the class ‘Industrial and commercial units’ into ‘Production facilities’, ‘Commercial/service facilities’ and ‘Public facilities’ using machine learning to exploit a large database of points of interest. The overall accuracy of this thematic breakdown was 74%, despite the confusion between the production and commercial land uses, often attributable to noisy training data or mixed land uses. Lessons learnt from this exercise are discussed, and further research direction is proposed.     

Specialisation changes in European regions: the role played by externalities across regions

This paper seeks to determine the factors underpinning changes in regional specialisation patterns in the European Union between 1991 and 2002. First, we consider a set of determinants previously identified in the regional literature, including agglomeration effects and other specific regional factors (business cycle, amount of investment, etc.). However, we then also take into account the fact that the evolution in a region’s specialisation pattern may be affected by the specialisation behaviour of other regions. Thus, not only do we consider the pattern of evolution in a region’s most proximate neighbours but we also examine that of their regional peers, i.e., regions with a similar specialisation pattern independent of their location. Notwithstanding, our empirical evidence indicates that physical distance still plays a very significant, and even more influential, role than similarity in specialisation.     

Filtration and oxygen consumption in mussels,Mytilus edulis,with and without pea crabs,Pinnotheres maculatus

Filtration rates and oxygen consumption rates were measured in mussels (Mytilus edulis) with and without pea crabs (Pinnotheres maculatus). Noninfested mussels had a significantly higher rate of oxygen consumption per hour (0.578 ml±0.012) than did infested mussels (0.352 ml±0.012). There was no significant effect of pea crab size on mussel respiration. Filtration rates of infested mussels were significantly lower than those of uninfested mussels. Assimilation efficiency was not significantly affected by pea crab infestation. The relationship between body size and oxygen consumption inP. maculatus is given by the following equation: {ie264-1} W^0.626, where {ie264-2} is oxygen uptake (ml h^?1), and W is dry weight (g). There was no difference between the sexes. It is concluded that the decreased oxygen consumption observed in infested mussels is not due to limitation of oxygen availability, but rather reflects a real metabolic response to the presence of the symbiont and the concomittant deprivation of food to the host. The effect is probably reversible, that is, damage can be compensated for after the symbiont has vacated the mussel, depending upon the period of infestation. Our results indicate that the mussels infested by pea crabs may be at an energetic disadvantage relative to mussels without pea crabs.     

Using OpenStreetMap to improve population grids in Europe

ABSTRACT

OpenStreetMap (OSM) database has previously been used to support spatial disaggregation of population data by partly masking out non-residential impervious areas in the European Copernicus imperviousness layer (IL). However, the exact procedure of OSM data incorporation is unknown, and its contribution to the improvement of estimation accuracy has never been studied. In this article, we present a sensitivity study to find out which road categories should be used for masking of IL and how the linear features might be transformed to raster representation. Using Austria and Slovenia as a study area, 2006 commune population counts are disaggregated into 100 m grid cells using 12 versions of modified IL. Further tuning of estimates is performed using CORINE Land Cover (CLC) data in an iterative algorithm. Disaggregated grids are then validated against reference 1 km census-based data. The results show that overall error was reduced thanks to OSM incorporation in all tested scenarios, although the relative improvement varies between as well as within the two countries. The best result (5.3% reduction) was achieved using railways and three major road categories (motorway, trunk, and primary) with double exaggeration of width.     

The role of science in federal policy development on a regional to global scale: Personal commentary

Nutrient enrichment of coastal waters is an example of the large-scale, highly complex environmental challenges facing decision makers today. Conventional monitoring networks and advanced observational capabilities permit the detection of changes in the environment at continental to global scales (e.g., hypoxia in the Gulf of Mexico, aerosol plumes stretching across the ocean, global atmospheric enrichment of carbon dioxide). Much more knowledge is needed, however, to fully understand the societal consequences of environmental change and of actions taken to address them. This paper discusses the emerging role of assessment in developing effective U.S. policy responses to large-scale, complex environmental change while improving the scientific understanding of the problem. In the cases of global climate change and coastal hypoxia, the U.S. Congress passed legislation authorizing assessments recognizing that decision making must proceed in the face of scientific uncertainty. Evaluating the state of knowledge is usually the first step in an assessment in order to provide a picture of what is known and where there are knowledge gaps. Assessments should also provide the policy maker with an idea of the level of uncertainty, how long it may take to reduce the uncertainty, what information is most critical to resolve, and the consequences and benefits of the various management options. In this paper I draw upon several examples from national assessments, including those of climate change impacts on the U.S. and relationships between Mississippi River water and Gulf of Mexico water quality, to illustrate the strengths and difficulties of using science and assessment to inform the policy process.