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Modeling Data Envelopment Analysis (Dea) Efficient Location/Allocation Decisions, Ronald K. Klimberg, Samuel J. Ratick
Modeling Data Envelopment Analysis (Dea) Efficient Location/Allocation Decisions, Ronald K. Klimberg, Samuel J. Ratick
Sustainability and Social Justice
Many types of facility location/allocation models have been developed to find optimal spatial patterns with respect to various location criteria that include cost, time, coverage, and access among others. In this paper we develop and test location modeling formulations that utilize data envelopment analysis (DEA) efficiency measures to find optimal and efficient facility location/allocation patterns. We believe that solving for the DEA efficiency measure, simultaneously with other location modeling objectives, provides a promising rich approach to multiobjective location problems. © 2006 Elsevier Ltd. All rights reserved.
Asia Comes To Main Street And May Learn To Speak Spanish: Globalization In A Poor Neighborhood In Worcester, Robert J.S. Ross, Kate Driscoll Derickson
Asia Comes To Main Street And May Learn To Speak Spanish: Globalization In A Poor Neighborhood In Worcester, Robert J.S. Ross, Kate Driscoll Derickson
Local Knowledge: Worcester Area Community-Based Research
This paper considers how and why an Asian enclave of small businesses has appeared in a poor neighborhood characterized by Puerto Rican and other Latino immigration in the post-industrial city of Worcester, Massachusetts. We begin by examining the role of the US in the world system, and argue that the US hegemonic role and specific political economic aspects of global capitalism (ie. deindustrialization) account for some of the migration stream. Next, using socioeconomic and historical data, interviews, and observations, we outline the history of Worcester’s economy and immigration patterns. We demonstrate that the increasing economic inequality leaves few promising employment …