Suchergebnisse

England has statutory regulations in place that ensure state funded schools deliver broadly the same curriculum. However there still exists a wide range of contexts in which this education takes place, including: the management of schools; how the schools chose to spend their budgets; individual policies in regards to staffing, behaviour and attendance, and perhaps most importantly, the composition of the pupil population in the school. Given these contexts, one outcome of interest is the attainment profile of schools, and it is important that this performance is judged in context, for the benefits of pupils, parents and schools. To this end, this study develops a classification using contemporary data for English primary schools. The open data used captures aspects of the gender, ethnic, language, staffing and affluence makeup of each school. The nature of these derived groupings is described and made available as a mapping resource. These groupings allow the identification of "families of schools", to act as a resource to foster better collaboration between schools and more nuanced benchmarking.

Introduction -- The dynamics of retail store location -- GIS and models for retail planning and analysis -- Geodemographics and its role in retail marketing and location planning -- Model-based methods for store network planning -- Exploring retail demand: estimation methods and future drivers of change -- Measuring the attractiveness of retail stores or shopping centres -- Network optimisation -- Network reinvention -- E-retailing -- Big data analytics and retail location planning -- Conclusions

This paper is concerned with modelling variations in the use of health-care services between small geographic areas. A range of potential explanatory variables are identified from a review of previous literature, ranging from social, economic, and demographic factors through access to services, and practitioner characteristics, to new measures of behaviour and lifestyle. Real admissions data for the city of Leeds relating to a variety of services over a three-year period are introduced to calibrate a series of utilisation models. It is argued that the strength of the goodness of fit makes these models potentially useful in the evaluation of resource allocation between service providers. By providing better global models of usage it is possible to examine small-area outliers to highlight areas where revealed demand, or usage, is not reflecting need as much as it should. In particular, this paper demonstrates the importance of lifestyle preferences in modelling the utilisation of health-care services.