A Synthesis of Aggregation Methods for Multifacility Location Problems: Strategies for Containing Error

When solving a location problem using aggregated units to represent demand, it is well known that the process of aggregation introduces error. Research has focussed on individual components of error, with little work on identifying and controlling total error. We provide a focussed review of some of this literature and suggest a strategy for controlling total error. Consideration of alternative criteria for evaluating aggregation schemes shows that the method selected should be compatible with the objectives of the analyses in which it is used. Experiments are described that show that two different measures of error are related in a nonlinear way to the number of aggregate demand points (q), for any value of the number of facilities (p). We focus on the parameter q/p and show that it is critical for determining the expected severity of the error. Many practical implementations of location algorithms operate within the range of q/p where the rate of change of error with respect to q/p is highest.     

Voices from the Top of the Pile: Elite Perceptions of Poverty and the Poor in the Philippines

How do elites perceive poverty and the poor? In this article, we present the results of interviews with eighty members of the Filipino elite, undertaken as part of a larger six‐country study of elite perceptions of poverty and the poor. Poverty, we argue, is a highly subjective phenomenon. People's perceptions of poverty, of who is and who is not poor, of how poverty affects them and others, and of how poverty can be effectively tackled, vary enormously between different types of people (defined in terms of class, status, occupation, nationality, ethnicity, gender or a myriad of other social identities). Wherever people cohere as groups, classes or other social constructs, perceptions of poverty are aggregated and refined and then embedded in social dynamics. The study of elite perceptions of poverty and the poor, we conclude, can both add to our understanding of the social dynamics of poverty and inequality and inform pro‐poor public policy.