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- API data.smcgov.org | Last Updated 2018-06-13T15:39:17.000Z
Data by city showing transportation contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program. The majority of cities used the “in-boundary” methodology that relies on data from the Highway Performance Monitoring System. The inventories for South San Francisco and Unincorporated County use the “origin-destination” methodology from that relies on data from Metropolitan Transportation Commission (MTC). So, directly comparing vehicle miles traveled (VMT) across all cities is not statistically possible. Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy. For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html
- API data.oregon.gov | Last Updated 2014-08-19T23:30:03.000Z
OLPC is a partnership with counties, cities, Oregon Department of Transportation and Federal Highway Administration, which meets to improve policy, process and oversight in the delivery of the Local Federal Aid Program and other local street and road programs and projects administered through ODOT.
- API data.smcgov.org | Last Updated 2014-11-14T16:41:36.000Z
Mode of transportation for students who live within less than half a mile from their school. This dataset is part of the Safe Routes to School data.
- API greengov.data.ca.gov | Last Updated 2017-05-12T18:08:08.000Z
<div>Data displayed are 2014 PeMs Vehicle Hours of Delay (VHD) and Vehicle Miles Traveled (VMT) surveyed from the California State Highway Network System. Featured are VHD, VMT, and VHD Rank including Total VHD and Total VMT grouped by County. <br></div><div><br></div><div><a href="http://www.dot.ca.gov/hq/traffops/mpr/source.html" target="_blank" rel="nofollow noreferrer external">Performance Measurement System (PeMS) Data Source</a><br></div><div><br></div><div><a target="_blank" rel="nofollow noreferrer external" href="http://pems.dot.ca.gov/">PeMS: Archived Data User Service</a><br></div>
- API greengov.data.ca.gov | Last Updated 2016-03-18T14:03:57.000Z
This data represents congested freeways organized by county and route, and ranked by Vehicle Hours of Delay where delay is defined as speeds below a certain threshold, in this case, 35 miles per hour. The data also has the corresponding Vehicle Miles Traveled (VMT) for each route.
- API greengov.data.ca.gov | Last Updated 2015-10-13T00:05:05.000Z
The Strategic Growth Council's Affordable Housing and Sustainable Communities Program funds land-use, housing, transportation, and land preservation projects to support infill and compact development that reduces greenhouse gas ("GHG") emissions. These projects facilitate the reduction of the emissions of GHGs by improving mobility options and increasing infill development, which decrease vehicle miles traveled and associated greenhouse gas and other emissions, and by reducing land conversion, which would result in emissions of greenhouse gases. Projects are also to support related and coordinated public policy objectives, including: Reducing air pollution Improving conditions in disadvantaged communities Supporting or improving public health Improving connectivity and accessibility to jobs, housing and services Increasing options for mobility, including active transportation Protecting agricultural lands to support infill development
- API kcstat.kcmo.org | Last Updated 2013-11-05T15:27:43.000Z
- API greengov.data.ca.gov | Last Updated 2015-10-15T23:08:49.000Z
This dataset contains information on all non-confidential assets within the California State Fleet. The purpose of this data is to provide mobile asset information including sustainability measurements such as fuel types. The data is extracted from the Fleet Asset Management System utilized by the Department of General Services’ Office of Fleet and Asset Management. The dataset covers the timeframe from calendar year 2011 until calendar year 2014 and includes vehicle information reported by all agencies under the executive branch and constitutional offices
- API greengov.data.ca.gov | Last Updated 2016-06-06T21:39:17.000Z
This dataset includes all Affordable Housing and Sustainable Communities Awards. This includes the location of the awards, the award amounts, award amounts for each Project component, GHG reductions, and co-benefits.
- API data.policefoundation.org | Last Updated 2015-10-29T17:40:16.000Z
"Data purpose: This Racial Profiling dataset provides the raw data needed to identify trends in traffic stops. It is used to help identify potential improvements in department policy, tactics, and training. Corresponding report: This data is used to produce the annual Racial Profiling report, posted on APD's website here: http://www.austintexas.gov/page/racial-profiling-reports Field definitions: Below are the fields contained in the dataset and definitions. Note: there are two datasets that together make up Racial Profiling data: Citations and Arrests. Citations data contains traffic stop data from citations issued by officers. Arrests data contains traffic stop data from arrests made by officers. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided is for informational use only and is not considered official APD crime data as in official Texas DPS or FBI crime reports. 2. APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. 3. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided."