Addressing SAFETEA-LU Requirements for Operational and Management Strategies in Puget Sound Region of Washington State

Author(s):  
William R. Loudon ◽  
Stephanie Rossi ◽  
Michael Cummings ◽  
Robin Mayhew
2010 ◽  
Vol 102 (1-2) ◽  
pp. 261-286 ◽  
Author(s):  
Julie A. Vano ◽  
Nathalie Voisin ◽  
Lan Cuo ◽  
Alan F. Hamlet ◽  
Marketa McGuire Elsner ◽  
...  

2017 ◽  
Vol 8 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Lucas A. Dailey ◽  
Sven Fuhrmann

The Oso landslide, one of the most recent disasters, occurred on March 22nd, 2014 in western Washington State. It caused significant property damage and killed over 40 people. As a result, a renewed interest has emerged for creating more accurate landslide susceptibility maps for this region. Research addressing landslide susceptibility within the north Puget Sound region of western Washington is lacking; therefore, this study develops a probabilistic GIS-based landslide susceptibility model for the north Puget Sound region. Multivariate logistic regression was utilized to create a landslide susceptibility map of Whatcom, Skagit, Snohomish, and King Counties. To predict probable areas of landslide occurrence, a landslide inventory map was prepared and fourteen topographic, geologic, environmental, and climatic predictor variables were considered. This research aims to assist in restructuring western Washington's landslide policies, and could serve as the first step in producing more accurate landslide susceptibility maps for the region.


Author(s):  
Jodi Koehne ◽  
Fred Mannering ◽  
Mark Hallenbeck

Truck restrictions, which are becoming increasingly popular throughout the United States, are justified on the grounds of improving traffic operations and safety, decreasing pavement wear, and other related factors. Although an abundance of research has been aimed at quantifying the benefits and costs of truck restrictions, little has been done to measure truckers' and motorists' opinions of such restrictions statistically. Truckers' and motorists' opinions of the truck-lane restrictions in force in the Puget Sound region of Washington State are assessed statistically here. The assessment was made by administering separate opinion surveys to truckers and motorists and estimating logit models that give the probability of an individual's being in favor of or opposed to truck-lane restrictions. In addition, a logit model giving the probability that an individual is even aware of the truck-lane restrictions in the Puget Sound region is estimated. The results of these model estimations give a profile of individuals that are most likely to favor or oppose truck-lane restrictions. These profiles provide valuable information for policy analysts and administrators concerned with implementation since they define the opinions of population groups that can make or break truck restriction policies on U.S. highways.


2010 ◽  
Vol 21 (6) ◽  
pp. 829-838 ◽  
Author(s):  
Michelle E. Ross ◽  
Jon Wakefield ◽  
Scott Davis ◽  
Anneclaire J. De Roos

2017 ◽  
Vol 74 (8) ◽  
pp. 1173-1194 ◽  
Author(s):  
Brandon Chasco ◽  
Isaac C. Kaplan ◽  
Austen Thomas ◽  
Alejandro Acevedo-Gutiérrez ◽  
Dawn Noren ◽  
...  

Conflicts can arise when the recovery of one protected species limits the recovery of another through competition or predation. The recovery of many marine mammal populations on the west coast of the United States has been viewed as a success; however, within Puget Sound in Washington State, the increased abundance of three protected pinniped species may be adversely affecting the recovery of threatened Chinook salmon (Oncorhynchus tshawytscha) and endangered killer whales (Orcinus orca) within the region. Between 1970 and 2015, we estimate that the annual biomass of Chinook salmon consumed by pinnipeds has increased from 68 to 625 metric tons. Converting juvenile Chinook salmon into adult equivalents, we found that by 2015, pinnipeds consumed double that of resident killer whales and six times greater than the combined commercial and recreational catches. We demonstrate the importance of interspecific interactions when evaluating species recovery. As more protected species respond positively to recovery efforts, managers should attempt to evaluate tradeoffs between these recovery efforts and the unintended ecosystem consequences of predation and competition on other protected species.


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