Browsing by Subject "Biking"

Now showing 1 - 8 of 8
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    Access Across America: Bike 2019 Data
    (2021-01-29) Owen, Andrew; Murphy, Brendan; aowen@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by bicycling in the 50 largest (by population) metropolitan areas in the United States. It is the most detailed evaluation to date of access to jobs by biking, and incorporates a Level of Traffic Stress analysis to allow calculation of access to jobs on bike networks of different traffic stress tolerances. This dataset allows for a direct comparison of the biking accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study. Access Across America: Bike 2017 data are available at https://conservancy.umn.edu/handle/11299/211418, however the 2017 version of this dataset was produced without implementation of Level of Traffic Stress analysis, and the methodologies differ substantially.
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    Access Across America: Bike 2021 Data
    (2023-08-28) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examined the accessibility to jobs by bicycling across the United States. It is the most detailed evaluation to date of access to jobs by biking, and incorporates a Level of Traffic Stress analysis to allow calculation of access to jobs on bike networks of different traffic stress tolerances. This dataset allows for a direct comparison of the biking accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study. Previous datasets (Access Across America: Bike 2019) are available at https://conservancy.umn.edu/handle/11299/218194.
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    Access Across America: Bike 2022 Data
    (2024-10-21) Owen, Andrew; Liu, Shirley Shiqin; Jain, Saumya; Hockert, Matthew; Lind, Eric; owenx148@umn.edu; Owen, Andrew; University of Minnesota Center for Transportation Studies, Accessibility Observatory
    These data were created as part of a study that examines the accessibility to jobs by biking across the United States. It is the most detailed evaluation to date of access to jobs by cycling, and it allows for a direct comparison of the bike accessibility performance of America's metropolitan areas. These data are part of a longitudinal study. Biking data for additional years can be found in the Accessibility Observatory Data collection: https://hdl.handle.net/11299/200592
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    Access Across America: Biking 2017
    (Center for Transportation Studies, University of Minnesota, 2019-07) Owen, Andrew; Murphy, Brendan
    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 focuses on accessibility to jobs by biking. Bicycle mode share for commute trips in the U.S. is typically very low, and has remained stable at 0.6% of all commute trips since 2011; however, overall number of bicycle commuters nationwide has increased by 21.6% since 2010. 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. This report presents detailed accessibility values for each metropolitan area, as well as block-level maps which illustrate the spatial patterns of accessibility within each area. A separate publication, Access Across America: Biking 2017 Methodology, describes the data and methodology used in this evaluation.
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    Access Across America: Biking 2017 Methodology
    (Center for Transportation Studies, University of Minnesota, 2019-07) Owen, Andrew; Murphy, Brendan
    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.
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    Access Across America: Biking 2019
    (Center for Transportation Studies, University of Minnesota, 2020-11) Owen, Andrew; Murphy, Brendan
    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 focuses on accessibility to jobs by biking. Bicycle mode share for commute trips in the U.S. is typically very low and has remained stable at 0.6% of all commute trips since 2011; however, overall number of bicycle commuters nationwide has increased by 21.6% since 2010. 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). As of the 2016 version of LEHD LODES data, statistics for federal jobs and workers are no longer included in the datasets. Accessibility data included in this report may be less accurate in metropolitan areas with large proportions of federal jobs, such as Washington, D.C. This report presents detailed accessibility values for each metropolitan area, as well as block-level maps which illustrate the spatial patterns of accessibility within each area. A separate publication, Access Across America: Biking 2019 Methodology, describes the data and methodology used in this evaluation.
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    Access Across America: Biking 2019 Methodology
    (Center for Transportation Studies, University of Minnesota, 2020-11) Owen, Andrew; Murphy, Brendan
    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 2019 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.
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    Access Across America: Biking 2020
    (Center for Transportation Studies, University of Minnesota, 2023-03) Owen, Andrew
    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 focuses on accessibility to jobs by biking. Bicycle mode share for commute trips in the U.S. is typically very low and has remained stable at 0.6% of all commute trips since 2011; however, overall number of bicycle commuters nationwide has increased by 21.6% since 2010. 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. This report presents detailed accessibility values for each metropolitan area, as well as block-level maps which illustrate the spatial patterns of accessibility within each area.