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DescriptionMarketing library resources, services and personnel to information-overloaded university students can be a challenge. Learn how Arizona State University Libraries produces the fun and informative Library Minute video series, how it’s used by instructors, and how it’s received by students.
ContributorsPerry, Anali Maughan (Author) / Harp, Matthew (Author)
Created2010-10-12
Description

The Arizona State University Libraries’ fun Library Minute video series brings information about resource and services to a large student body. For the first time, we present a workshop walking through the entire production process from start to finish and offering suggestions on how to fit multimedia into your marketing

The Arizona State University Libraries’ fun Library Minute video series brings information about resource and services to a large student body. For the first time, we present a workshop walking through the entire production process from start to finish and offering suggestions on how to fit multimedia into your marketing and outreach strategy. In this session, we will produce a short video with participants in three steps:

1. Conceptualization and Planning.
2. Recording.
3. Editing and Distribution.

Digital Production Manger Matthew Harp will demonstrate the tools and process and elaborate on the use of social media, YouTube, and the Internet Archive in the distribution plan. Together with Mimmo Bonanni and Library Minute Host Anali Perry, we’ll share our tips and tricks for video production using whatever resources are available.

Presented at the 2011 Arizona Library Association Conference 2011 - Tucson, Arizona

ContributorsHarp, Matthew (Author) / Bonanni, Mimmo (Author) / Perry, Anali Maughan (Author)
Created2011-11-08
Description

This presentation discusses the Library Channel and how the ASU Libraries integrated it as a communication business model.

ContributorsHarp, Matthew (Author)
Created2011-02-10
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Description

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

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.

ContributorsConway, Matthew Wigginton (Author) / Byrd, Andrew (Author) / van Eggermond, Michael (Author)
Created2018-07-23
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Description

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

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.

ContributorsConway, Matthew Wigginton (Author) / Byrd, Andrew (Author) / van der Linden, Marco (Author)
Created2017