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As one of the first successful Latin crossover artists, Jon Secada dominated the pop music charts in the early 90s, releasing hits such as Just Another Day and Angel and winning multiple Grammy Awards. As a Cuban refuge, Jon understands that life is about starting anew and embracing opportunities, something he never lost sight of while achieving his dream of being a performer and while building new dreams when life took unexpected turns. In his debut book, Jon shares the lessons he learned that made him the resilient person he is today. His moving message reaffirms that wisdom and strength comes from constantly reinventing yourself and finding what you’re made of through doubt and hardships, growing from adversity, and having faith in A New Day.
This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.
Vacant urban land--the product of land market activity, the actions of private agents, and the policies of public agents--is an important challenge for policy makers. Vacant lots on the urban fringe and in central and interstitial areas have affected growth patterns in Latin America. Contributors to this book analyze the problems and opportunities related to vacant urban land in five cities: Buenos Aires, Argentina; Rio de Janeiro, Brazil; Quito, Ecuador; Lima, Perú; and San Salvador, El Salvador.