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A poster presentation on resources and strategies from Arizona State University Libraries to encourage understanding of and participation in Open Access practices, including promotional materials (flyers, library guides, videos, and more) and persuasive talking points.
Take a journey to discover how you can provide quality information to your patrons for free! Explore the world of Open Access Resources! Open Access refers to scholarly information that is free, online, and free of most copyright and licensing restrictions. This makes it easier for people to find and use reliable information on a myriad of subjects, such as health information, educational materials, or business resources. Knowledge of Open Access is important for all librarians to help us best serve our communities and stretch our dwindling budgets. Your tour guides will give an overview of Open Access, discuss legislative issues, demonstrate how to find open access resources, and explain how librarians can get involved.
Presented at the SDLA/NDLA/MPLA Tri-conference 2013
Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value of the accessibility metric during sketch planning processes, due to scenarios which are underspecified because detailed schedule information is not yet available. This article presents a method to extend the concept of "reliable" accessibility to transit to address the first issue, and create confidence intervals and hypothesis tests to address the second.
There is a need for indicators of transportation-land use system quality that are understandable to a wide range of stakeholders, and which can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day and transfer wait times. Capturing this variation increases complexity, slowing down calculations. We present new methods for rapid yet rigorous computation of accessibility metrics, allowing immediate feedback during early-stage transit planning, while being rigorous enough for final analyses. Our approach is statistical, characterizing the uncertainty and variability in accessibility metrics due to differences in departure time and headway-based scenario specification. The analysis is carried out on a detailed multi-modal network model including both public transportation and streets. Land use data are represented at high resolution. These methods have been implemented as open-source software running on commodity cloud infrastructure. Networks are constructed from standard open data sources, and scenarios are built in a map-based web interface. We conclude with a case study, describing how these methods were applied in a long-term transportation planning process for metropolitan Amsterdam.