Access Across America: Biking 2017 Methodology
2019-07
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Access Across America: Biking 2017 Methodology
Authors
Published Date
2019-07
Publisher
Center for Transportation Studies, University of Minnesota
Type
Report
Abstract
Accessibility is the ease and feasibility of reaching valued destinations. It can be measured for a wide array of transportation modes, to different types of destinations, and at different times of day. There are a variety of ways to define accessibility, but the number of destinations reachable within a given travel time is the most comprehensible and transparent as well as the most directly comparable across cities.
This report describes the data and methodology used in the Access Across America: Biking 2017 report, which estimates the accessibility to jobs by bicycle for each of the 11 million U.S. census blocks and analyzes these data in the 50 largest (by population) metropolitan areas.
This study estimates the accessibility to jobs by biking for each of the United States? 11 million census blocks, and analyzes these data in the 50 largest (by population) metropolitan areas. Travel times by biking are calculated using detailed roadway networks classified by their Level of Traffic Stress (LTS).
Rankings are determined by a weighted average of job accessibility; a higher weight is given to closer jobs, as jobs closer to origins are more easily reached, and are thus more valuable, than those further away. Jobs reachable within ten minutes are weighted most heavily, and jobs are given decreasing weights as travel time increases up to 60 minutes.
Description
Related to
Replaces
License
Series/Report Number
;CTS 19-20
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Owen, Andrew; Murphy, Brendan. (2019). Access Across America: Biking 2017 Methodology. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/252747.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.