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SCAG's Regional High Injury Network (HIN) is intended to show a subset of the street network where most (65%) fatal and serious injuries are occurring. This dataset is used by SCAG to emphasize the need for local safety interventions on local roadways and demonstrate to local agencies how a high injury network is generated. |
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SCAG's Regional High Injury Network (HIN) is intended to show a subset of the street network where most (65%) fatal and serious injuries are occurring. This dataset is used by SCAG to emphasize the need for local safety interventions on local roadways and demonstrate to local agencies how a high injury network is generated. |
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Data Source: Data preparation and analysis: SCAG; Collision data: UC Berkeley Safe Transportation Research and Education Center’s Transportation Injury Mapping System (TIMS), 2015-2019; Road network: TomTom 2019 Below is part of Content of Licensed Materials; Grant of License written in the 2019 TomTom license agreement between SCAG and East View Geospatial, INC. Under this license, the Customer may (a) analyze, process, print and visualize the licensed Product or any parts of the Product; (b) make an unlimited number of hardcopies and softcopies of the Product for the Customer’s internal use; (c) distribute processed data derived from the Product; (d) post the Product on a secured Intranet/Extranet site for the Customer’s internal use; (e) make the Product available to its consultants, agents and subcontractors for purposes otherwise consistent with the License Agreement
TIMS Acknowledgment: Transportation Injury Mapping System (TIMS), Safe Transportation Research and Education Center, University of California, Berkeley. 2022 |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Dataset Description: </SPAN></SPAN><SPAN><SPAN>This dataset is an update to SCAG’s regional High Injury Network (HIN) (2010-2014) developed in 2017/2018. SCAG’s HIN is a network of designated corridor-level segments where the highest concentrations of serious and fatal collisions occur</SPAN></SPAN><SPAN /><SPAN /><SPAN><SPAN>over the course of the most recent five years of available collision data (2015 – 2019). </SPAN></SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN><SPAN>Data development/processing methodology:</SPAN></SPAN><SPAN>SCAG developed six high injury networks, one for each county in the region, analyzing concentrations of collisions by fatal or serious injury auto-auto, auto-bike, or auto-pedestrian collisions, and merged them into one file. For more information on the methodology, please contact the point of contact.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>Data Year: Data preparation and analysis: 2022 (updated March 2024); Collision data: 2015-2019; Road network: 2019</SPAN></P></DIV></DIV></DIV> |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-style:italic;">This dataset is intended for planning purposes only, and SCAG shall incur no responsibility or liability as to the completeness, currentness, or accuracy of this information. SCAG assumes no responsibility arising from use of this information by individuals, businesses, or other public entities. The information is provided with no warranty of any kind, expressed or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Users should consult with UC Berkeley Safe Transportation Research and Education Center directly to obtain the collision information.</SPAN></P></DIV></DIV></DIV> |
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SCAG Regional High Injury Network (2015-2019) |
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tags:
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["High Injury Network (HIN)","Transportation Injury Mapping System (TIMS)","Statewide Integrated Traffic Records System (SWITRS)","street","collisions","traffic safety","transportation","safety","accident"] |
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150000000 |
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