Integrating Traffic Network Analysis and Communication Network Analysis at a Regional Scale to Support More Efficient Evacuation in Response to a Wildfire Event

Soga, Kenichi; Comfort, Louise; Zhao, Bingyu; Lorusso, Paola; Soysal, Sena

doi:10.7922/G21G0JJ7

i

Integrating Traffic Network Analysis and Communication Network Analysis at a Regional Scale to Support More Efficient Evacuation in Response to a Wildfire Event

2021-05-01
By Soga, Kenichi ; Comfort, Louise ; Zhao, Bingyu

File Language:

English

Details

Creators:

Soga, Kenichi ; Comfort, Louise ; Zhao, Bingyu ; Lorusso, Paola ; Soysal, Sena
Corporate Creators:

University of California, Berkeley. Department of Civil and Environmental Engineering
Corporate Contributors:

University of California Institute of Transportation Studies
Subject/TRT Terms:
Publication/ Report Number:

UC-ITS-2020-29
DOI:

https://doi.org/10.7922/G21G0JJ7
Resource Type:

Tech Report
Geographical Coverage:

California;United States
Edition:

Final Report (July 2019-April 2021)
Corporate Publisher:

University of California Institute of Transportation Studies
Abstract:

As demonstrated by the Camp Fire evacuation, communications (city-to-city, city-to-residents) play important roles in coordinating traffic operations and safeguarding region-wide evacuation processes in wildfire events. This collaborative report across multiple domains (fire, communication and traffic), documents a series of simulations and findings of the wildfire evacuation process for resource-strapped towns in Northern California. It consists of: (1) meteorological and vegetation-status dependent fire spread simulation (cellular automata model); (2) agency-level and agency-to-residents communication simulation (system dynamics model); and (3) dynamic traffic assignment (spatial-queue model). Two case studies are conducted: one for the town of Paradise (and the surrounding areas) and another for the community of Bolinas.
Format:

PDF
Funding:

UC-ITS-2020-29
Download URL:

https://rosap.ntl.bts.gov/view/dot/72320/dot_72320_DS1.pdf
File Type:

[PDF - 4.88 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:830e3c3065c7da856f367a64e446c46fa9fb6b6b6ef1e6d66697ecbcae802125c3514fe85a865dd9d74df1e8c78db13fad704b1ea87761ed44a4ff2dafec1bd6

File Language:

English

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