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As government budgets get tighter, there has been considerable public outcry about the continued investment in public mass transit systems and their financial viability. Amid this outcry, a number of studies have been conducted to determine which factors influence the use and efficiency of publiclyfunded mass transit systems. These factors include population density and less sprawl (or greater urban compactness). However, their impact on mass transit usage is somewhat contradictory in that the heavy concentration of populations in the urban area and greater compactness is believed to increase mass transit usage due to a bigger number of potential passengers. In fact, greater compactness and greater transit ridership have played a role in lengthening the journey to work for most commuters and thus discouraged the use of mass transit systems. Thus, some questioned the wisdom of mass transit subsidies and "smart growth" policies. To attempt to answer this question and avoid any further confusion, this paper examines how urban sprawl affects the journey to work commute time of mass transit riders and other commuters throughout the United States after controlling for variables such as the volume of ridership, local per capita income, the presence of a local rail transit system, and local weather. The findings for this research note defy some conventional wisdom and point to several public policy recommendations on how to improve public mass transit at the local level. For instance, we find that greater urban compactness can be turned into a mass transit advantage if mass transit riders can use a commuter rail option. [ABSTRACT FROM AUTHOR]

With the Occupy movement that recently took place on Wall Street and in other parts of the globe, a lot of attention has recently been given to growing income inequality. The 2008 United States financial crisis, the Great Recession, and the subsequent weak recovery have brought about a more serious focus on income inequality and the widening income gap between the top 1 percent and other groups. These events have brought about some social unrest and instability in American society perhaps not seen since the Great Depression. How much has the top 1 percent of households gained in terms of income versus the other 99 percent in the United States over the last 30 years or so? Mainstream economists and other social scientists point to various causes which have been mentioned in many scholarly and popular writings. All of these mainstream factors affecting inequality have been found to be statistically significant in one scholarly study or another. This research paper explores other major concepts to explain income inequality rather than to dispute the findings of other existing research efforts. The empirical findings of this paper support radical arguments that income accumulation of those at the top is not connected to the productivity of capital investment, but rather instead is connected to the declining incomes and exploitation of the rest of the U.S. population despite the rising output per worker of the U.S. workforce over the last 30 to 40 years. [ABSTRACT FROM AUTHOR]

The Americans with Disabilities Act (ADA) of 1990 encouraged public transit authorities to reassess the way they serve aging populations and physically-handicapped individuals requiring door-to-door services. As the demand for paratransit services rose dramatically the last few years due to a growing number of aging baby-boomers and injured Iraq-Afghanistan War veterans, many public transit authorities have been faced with the dilemma of meeting the growing demand while controlling costs in times of ongoing budget crises. To help public transit authorities better cope with such a dilemma, this paper evaluates the comparative operating efficiency of 75 selected paratransit agencies in the United States using data envelopment analysis (DEA) and then identifies the best-practice paratransit systems. Lagging paratransit agencies can use such systems as benchmark reference points to evaluate their performance against other systems. Finally this paper develops a profile of both efficient and inefficient paratransit agencies to discern a host of factors influencing the operating efficiency of paratransit systems. [ABSTRACT FROM AUTHOR]