488 results returned
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Title: Alternative Fuels: United States, 2013
Contributors:- Point data
- 2014
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile depicts fueling facilities that offer fuels other than gasoline in the United States. Through a nationwide network of local coalitions, Clean cities provides project assistance to help stakeholders in the public and private sectors deploy alternative and renewable fuels, idle-reduction measures, fuel economy improvements and emerging transportation technologies. The United States Department of Energy (DOE) collected this data as part of the Projects undertaken by Clean Cities coalitions and stakeholders to ensure customers access to clean alternative energy. This data can be found at the United States DOE Alternative Fuels Data Center Web Feature Service: http://www.afdc.energy.gov/locator/stations/ . Clean Cities is the deployment arm of the United States DOE's Vehicle Technologies Office. This layer is part of the 2014 National Transportation Atlas Database. The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. More than 250 million vehicles consume millions of barrels of petroleum every day in the United States. On-road passenger travel alone accounts for more than 2.5 trillion vehicle miles traveled each year. Vehicle fleet managers and drivers, corporate decision makers, and public transportation planners can use these strategies to conserve fuel. United States. Department of Transportation. Research and Innovative Technology Administration. (2014). Alternative Fuels: United States, 2013. National Transportation Atlas Database 2014. Available at: http://purl.stanford.edu/hm781nb1434.
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Title: Block-level, non-work accessibility data for planned transitways in the Twin Cities [Minnesota]
Contributors:- Vector data ; Point data ; Polygon data
- 2021
- Not owned by MIT (Owned by University of Minnesota)
Summary: Accessibility to grocery stores, primary healthcare, elementary, middle, and high schools by transit is measured for the Twin Cities. Census block-level minimum travel times to the first, second, third,...,tenth destination are calculated before and after incorporating services changes to the transit network. The transit network baseline includes the Green Line extension and Orange Line. Five planned transitways are evaluated against the baseline including the B Line and local route 21 changes, the D Line and local route 5 changes, the E Line and local route 6 changes, the Gold Line, and the Rush Line. The analysis is completed for four departure windows during the weekday. The report associated with this data aggregates across the Twin Cities metropolitan worker population and disaggregates by worker demographics. The data are organized by scenario then by departure window for a total of 28 scenarios. Each scenario has a Geopackage spatial file which is comprised of result layers for the five destination types studied. Travel times between blocks and X number of destinations are given in seconds. For example, this data answers the question "What is the minimum travel time on transit needed to reach 3 different grocery stores?"
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Title: Block-level accessibility data for managed lanes in the Twin Cities] (2019)
Contributors:- Line data ; Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: The data are provided in 4 ESRI shapefiles. The shapefiles are segmented by the analysis day of the week and departure time. The fields include the Census block-level 15-digit identifier (GEOID10), baseline accessibility, tier 1 managed lane scenario accessibility, their absolute difference, their percent difference. CRS EPSG: 4326 - WGS 84. Users should be able to map the cumulative job accessibility by automobile for 4 comparisons between baseline (general purpose lanes) and managed lanes (tier 1 corridors).
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Title: Block-level accessibility data for transit-way evaluation in the Twin Cities metropolitan region] (2019)
Contributors:- Line data ; Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: The data are provided in 20 shapefiles. The shapefiles are segmented by the scenario comparison and the analysis day/time. The fields include the Census block-level 15-digit identifiers, baseline accessibility, alternative scenario accessibility, their absolute difference, their percent difference. CRS EPSG: 4326 - WGS 84. Users should be able to map the cumulative job accessibility by transit for 5 transit network scenarios and 4 comparisons between transit networks.
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Title: Access Across America Bike Data [Portland-Vancouver-Hillsboro, OR-WA] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Virginia Beach-Norfolk-Newport News, VA-NC] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [San Jose-Sunnyvale-Santa Clara, CA] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Jacksonville, FL] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [New Orleans-Metairie-Kenner, LA] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Indianapolis-Carmel, IN] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Minneapolis-St. Paul-Bloomington, MN-WI] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Cleveland-Elyria-Mentor, OH] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Denver-Aurora-Broomfield, CO] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [St. Louis, MO-IL] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Memphis, TN-MS-AR] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Providence-New Bedford-Fall River, RI-MA] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Oklahoma City, OK] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Boston-Cambridge-Quincy, MA-NH] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Salt Lake City, UT] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."
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Title: Access Across America Bike Data [Detroit-Warren-Livonia, MI] (2017)
Contributors:- Vector data
- 2020
- Not owned by MIT (Owned by University of Minnesota)
Summary: This data was created as part of a study that examined the accessibility to jobs by biking in the 50 largest (by population) metropolitan areas in the United States, on low-stress and higher-stress streets via a Level of Traffic Stress analysis process. It is the most detailed evaluation to date of access to jobs by bike nationally, and it allows for a direct comparison of the bicycle accessibility performance of America's largest metropolitan areas. This data are part of a longitudinal study. Downloads are available for individual metropolitan regions, as well as states, in Geopackage format. Each individual ZIP file for a metropolitan area or state contains four ZIP-compressed Geopackage files of accessibility data, one for each of the four Level of Traffic Stress levels 1-4. A combined ZIP file containing the data for all metropolitan regions is also available in Geopackage format, and is labeled as "All Metropolitan Regions."