Examining a shrinking rustbelt city: A case of Binghamton, NY (1990 - 2010).

摘要

Shrinking cities are locations that have experienced population and economic loss. Each shrinking city is unique in the influential characteristics that result in loss, however, patterns of the contemporary city is highly based on economic changes. The impact of shrinking cities is a global phenomenon not only limited to the U.S. or the developed world. However, among large shrinking cities of the world, 25% are located in the U.S. Therefore, it is of utter importance to understand and examine these locations.;The connection of spectral findings of a shrinking "Rustbelt" city of Binghamton, NY using a multilayer perceptron (MLP) artificial neural network (ANN) mean of classification was made with spatial findings of demographic and socioeconomic status of the local population. This resulted in a high scale classification of urban ecozones, which created the boundaries for examining the changes in population size and the types of individuals associated with these populations.