Development of Nevada Highway Fencing GIS Database

Xu, Hao; Tian, Yuan

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Development of Nevada Highway Fencing GIS Database

2019-08-01
By Xu, Hao ; Tian, Yuan

File Language:

English

Details

Creators:

Xu, Hao ; Tian, Yuan
Corporate Creators:

University of Nevada, Reno. Solaris University Transportation Center ; SOLARIS Consortium
Corporate Contributors:

Nevada. Department of Transportation ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Publication/ Report Number:

P342-18-803/TO #2
Resource Type:

Tech Report
Geographical Coverage:

Nevada;United States
Edition:

Final Report
Corporate Publisher:

University of Nevada, Reno. Solaris University Transportation Center
Abstract:

The Nevada Department of Transportation (NDOT) has been installing wildlife fences along interstate/state highways where wildlife-vehicle collisions (WVCs) concern exists. A fencing geographic information system (GIS) dataset can be used to coordinate the locations and construction of new wildlife crossing structures and wildlife fences. A statewide fencing GIS database is also essential for rural highway safety analysis, especially when it is integrated with crash data, wildlife animal migration data, road properties, and existing crossing structure data. The Center for Advanced Transportation Education and Research (CATER) at the University of Nevada, Reno (UNR) developed a Nevada statewide highway fencing database in this project by reviewing multiple data sources such as Google Earth Pro, Google Maps, Google Street View, Bing Maps and the Roadview database of NDOT. The data of crossing structures were also collected from the aerial map pictures and street view pictures when the team extracted the fencing data.
Format:

PDF
Funding:

DTRT13-G-UTC55
Download URL:

https://rosap.ntl.bts.gov/view/dot/61529/dot_61529_DS1.pdf
File Type:

[PDF - 1.53 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:9c6aa69b2532c81d172aa7ef8fce61c2dcd180384b8e62c7895fdd4eb56b319d4a05bcc39b7c08f20489aa52558ae0fb249b3d70d14d32037065b72ccd4ee866

File Language:

English

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