Efficient control for network congestion

2006 ◽  
Author(s):  
Yang Xiao ◽  
Hai-feng Du ◽  
Zhen-zhen Cao ◽  
Moon Ho Lee
Keyword(s):  
Network Congestion ◽  
Efficient Control

Network Congestion Minimization Models Based on Robust Optimization

2018 ◽  
Vol E101.B (3) ◽  
pp. 772-784 ◽  
Author(s):  
Bimal CHANDRA DAS ◽  
Satoshi TAKAHASHI ◽  
Eiji OKI ◽  
Masakazu MURAMATSU
Keyword(s):  
Robust Optimization ◽  
Network Congestion

scholarly journals National and Sub-National Social Distancing Responses to COVID-19

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 69
Author(s):  
Terrence Iverson ◽  
Edward Barbier
Keyword(s):  
National Policy ◽  
Spillover Effects ◽  
Policy Choice ◽  
Social Distancing ◽  
Efficient Control ◽  
National Governments

We examine the effectiveness of sub-national actions to control a novel disease, such as COVID-19, in the absence of national policy. Evidence shows that countries where sub-national governments have undertaken unilateral social distancing measures to combat the pandemic with little or no coordination have performed less well in controlling the spread of the disease. We explore analytically whether agreement on a common social distancing policy among sub-national governments, i.e., states or provinces, can lead to a better outcome than if each state or province pursues its own social distancing policy in isolation. A key feature of our model is that it accounts for the inter-jurisdictional spillover effects of each sub-national jurisdiction’s policy choice with respect to social distancing. Our results show that, in the absence of a national mandatory agreement, a sub-national agreement with sufficient coordination of social distancing policy among states yields a more effective and efficient control of a pandemic compared to states choosing policy unilaterally. These findings strongly support calls for greater cooperation among and assistance for sub-national governments to improve the effectiveness of their social distancing efforts in controlling the pandemic.

Sign in / Sign up

Export Citation Format

Share Document