165 research outputs found
Internal Affairs: Untold Case Studies of World War I German Internment
Internment of German-Americans and Germans in the United States as the country entered World War I marked a turn in the relationship between America’s governing institutions, its citizens, and its non-citizen aliens. The power and reach of the American state inflected upwards during World War I. Internment was the most drastic facet of a new state involvement in the makeup and dynamics of communities and the liberties and perceptions of minorities. Aside from whether such an effort was justified, internment lies at a crucial point in a sustained American history of powerful state (and state-like) actors interacting with newcomers and outsiders. Indeed, despite its lack of scholarship and popular knowledge, German internment left a lasting legacy. Just one world war later, it provided the logistics, personnel, and messaging for expanded successor programs, which in turn created similar types of backlash. To understand German internment is to understand a long trend of state expansion into the lives of disempowered and non-citizen residents—and an equally long history of resistance to i
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The Bay Area is Losing Transit Ridership — But Transit Commuting is Growing
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A Time and a Place for Every Rider?: Geographic and Temporal Changes in Bay Area Transit Ridership
Transit ridership is on the wrong track across America. Yet until 2016, the San Francisco Bay Area appeared immune to the ridership declines plaguing most other cities. However, in 2017, Bay Area ridership began to fall, both regionwide and on almost all major transit operators. But this decline has not occurred uniformly. Thus, to help explain why transit ridership has changed, this report elucidates how, where, and when it has changed across the nine-county Metropolitan Transportation Commission region in the past decade. To answer these questions, I analyze ridership data for the region as a whole and for three of its largest operators in depth. Following this, I conduct a multivariate statistical analysis that simultaneously considers the various factors that have influenced ridership on Bay Area Rapid Transit (BART).While the landscape of transit use in Northern California is varied and shifting, I find and detail three significant trends. First, while the Bay Area had appeared to have stronger ridership than much of the rest of the country until recently, gains at major Bay Area transit agencies masked longer-term declines in the rest of the region. Second, the region’s largest operators are suffering from severe and deepening peaking problems: ridership during off-peak periods and in off-peak directions has cratered, while ridership at peak periods and in peak directions remains steady. Finally, I find that jobs, and particularly concentrated employment, explain far more of variation in ridership than any other determinant analyzed, including factors like service provided. Policymakers must therefore make the difficult decision of whether to channel resources towards the most crowded trip types, to alleviate crowding and double down on their strongest market, or towards slumping trips types, to shore up the weakest parts of the transit network despite their limited control over them
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What’s Behind Recent Transit Ridership Trends in the Bay Area? Volume I: Overview and Analysis of Underlying Factors
Public transit ridership has been falling nationally and in California since 2014. The San Francisco Bay Area, with the state’s highest rates of transit use, had until recently resisted those trends, especially compared to Greater Los Angeles. However, in 2017 and 2018 the region lost over five percent (>27 million) of its annual riders, despite a booming economy and service increases. This report examines Bay Area transit ridership to understand the dimensions of changing transit use, its possible causes, and potential solutions. We find that: 1) the steepest ridership losses have come on buses, at off-peak times, on weekends, in non-commute directions, on outlying lines, and on operators that do not serve the region’s core employment clusters; 2) transit trips in the region are increasingly commute-focused, particularly into and out of downtown San Francisco; 3) transit commuters are increasingly non-traditional transit users, such as those with higher incomes and automobile access; 4) the growing job-housing imbalance in the Bay Area is related to rising housing costs and likely depressing transit ridership as more residents live less transit-friendly parts of the region; and 5) ridehail is substituting for some transit trips, particularly in the off-peak. Arresting falling transit use will likely require action both by transit operators (to address peak capacity constraints; improve off-peak service; ease fare payments; adopt fare structures that attract off-peak riders; and better integrate transit with new mobility options) and public policymakers in other realms (to better meter and manage private vehicle use and to increase the supply and affordability of housing near job centers)
Deciphering Network Community Structure by Surprise
The analysis of complex networks permeates all sciences, from biology to
sociology. A fundamental, unsolved problem is how to characterize the community
structure of a network. Here, using both standard and novel benchmarks, we show
that maximization of a simple global parameter, which we call Surprise (S),
leads to a very efficient characterization of the community structure of
complex synthetic networks. Particularly, S qualitatively outperforms the most
commonly used criterion to define communities, Newman and Girvan's modularity
(Q). Applying S maximization to real networks often provides natural,
well-supported partitions, but also sometimes counterintuitive solutions that
expose the limitations of our previous knowledge. These results indicate that
it is possible to define an effective global criterion for community structure
and open new routes for the understanding of complex networks.Comment: 7 pages, 5 figure
Steering California's Transportation Future: A Report on Possible Scenarios and Recommendations
UC-ITS-RIMI-4BTo investigate possible future transportation and land use scenarios for California as well as their likely precipitating policies and potential consequences, we convened a panel of 18 experts and used a novel variation of the Delphi method to systematically explore four specific scenarios and probe the desirability and likelihood of each. The scenario that panel members collectively thought most desirable for California (one with diverse transportation options and higher-density development) was also the one they thought least likely to materialize by 2050. This report describes the findings of the three surveys and two meetings that our method entailed and summarizes some of the discussion among panelists. We include reflections on the salient but unexpected finding that panelists viewed trust in government as both critical to effecting the scenario they considered most desirable and also lacking to such an extent that pursuing that desirable outcome could cause unintended consequences or outright failure. Accordingly, we discuss possible implications and outline policy recommendations for improving both processes and conditions that can instill in California\u2019s government more trust, without which a future of multimodal transportation and higher-density, mixed land uses is unlikely to succeed
Financing the Future: Examining the Fiscal Landscape of California Public Transit in the Wake of the Pandemic
UC-ITS-2022-15California and its regional and local governments have invested heavily in public transit over the past half-century to provide an alternative to driving, ease traffic congestion, reduce emissions, slow climate change, steer new development, and provide mobility for those without. As a result, bus service has improved and expanded, and many parts of the state\u2019s metropolitan areas are now served by rail transit. Yet today, many of the state\u2019s transit systems are struggling operationally and financially. Ridership began eroding in the half-decade leading up to 2020 and plummeted at the start of the COVID-19 pandemic. Three federal pandemic relief bills provided a critical lifeline to keep struggling transit systems afloat early on, but these funds are running out. Meanwhile, operating costs have risen, ridership and fare revenues have only partially returned, and some transit systems face \u201cfiscal cliffs,\u201d where they will need substantial new infusions of funding, substantial cuts in costs and service, or some combination of the two. Against this backdrop, this report examines the current state of California transit finance: why ridership and fare revenues are down and their prospects for recovery; what lessons the successful federal relief bills provide; why commuter-oriented systems are struggling financially much more than those that primarily service transit-reliant riders; and what the financial managers at transit systems have done to cope with this turbulent time and how they see their future financial prospects
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