Quantifying the Criticality of Highway Infrastructure for Freight Transportation

Author(s):  
Zahra Ashrafi ◽  
Hamed Shahrokhi Shahraki ◽  
Chris Bachmann ◽  
Kevin Gingerich ◽  
Hanna Maoh

Events that disable parts of the highway transportation network, ranging from weather conditions to construction closures, may affect freight travel times and ultimately degrade economic productivity. Although previous studies of criticality typically focused on the impacts of natural disasters or terrorist attacks on systemwide travel times, these studies did not quantify the costs associated with disruptions to the economy because of disruptions to the freight transportation system. This paper quantifies the economic criticality of the highway infrastructure in Ontario, Canada, with the use of a new measure of criticality that determines the cost of highway closures (in dollars) on the basis of the value of goods, the time delayed, and the associated value of time. When criticality is measured in this way, it has some correlation with truck volumes, but the correlation differs when the values of shipments and the physical redundancy in the network are considered, and results in new insights into critical freight infrastructure. For example, the highway network within the greater Toronto, Ontario, Canada, area has a high degree of redundancy, but highways farther away from this metropolitan area have less redundancy and are thus more critical. Moreover, sections of Highway 401 located west of the greater Toronto area were found to be more critical—even though it carries lower truck volumes—than those located east of the greater Toronto area because of the lower redundancy in the western portion of the network. This measure has many potential applications in freight transportation planning, operations, and maintenance. Finally, with the cost of these disruptions quantified in dollars, one can then calculate the monetary benefits of potential transportation improvements for comparison (i.e., perform a cost–benefit analysis).

2007 ◽  
pp. 70-84 ◽  
Author(s):  
E. Demidova

This article analyzes definitions and the role of hostile takeovers at the Russian and European markets for corporate control. It develops the methodology of assessing the efficiency of anti-takeover defenses adapted to the conditions of the Russian market. The paper uses the cost-benefit analysis, where the costs and benefits of the pre-bid and post-bid defenses are compared.


1999 ◽  
Vol 40 (10) ◽  
pp. 153-159 ◽  
Author(s):  
D. H. Newsome ◽  
C. D. Stephen

Many countries are investing in measures to improve surface water quality, but the investment programmes for so doing are increasingly becoming subject to cost-benefit analysis. Whilst the cost of control measures can usually be determined for individual improvement schemes, there are currently no established procedures for valuing the benefits attributable to improved surface water quality. The paper describes a methodology that has been derived that now makes this possible.


Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1297
Author(s):  
Juntae Kim ◽  
Hyo-Dong Han ◽  
Wang Yeol Lee ◽  
Collins Wakholi ◽  
Jayoung Lee ◽  
...  

Currently, the pork industry is incorporating in-line automation with the aim of increasing the slaughtered pork carcass throughput while monitoring quality and safety. In Korea, 21 parameters (such as back-fat thickness and carcass weight) are used for quality grading of pork carcasses. Recently, the VCS2000 system—an automatic meat yield grading machine system—was introduced to enhance grading efficiency and therefore increase pork carcass production. The VCS2000 system is able to predict pork carcass yield based on image analysis. This study also conducted an economic analysis of the system using a cost—benefit analysis. The subsection items of the cost-benefit analysis considered were net present value (NPV), internal rate of return (IRR), and benefit/cost ratio (BC ratio), and each method was verified through sensitivity analysis. For our analysis, the benefits were grouped into three categories: the benefits of reducing labor costs, the benefits of improving meat yield production, and the benefits of reducing pig feed consumption through optimization. The cost-benefit analysis of the system resulted in an NPV of approximately 615.6 million Korean won, an IRR of 13.52%, and a B/C ratio of 1.65.


2009 ◽  
Vol 68 (10) ◽  
pp. 2479-2484 ◽  
Author(s):  
Jean-Charles Hourcade ◽  
Philippe Ambrosi ◽  
Patrice Dumas

2004 ◽  
Vol 61 (7) ◽  
pp. 1269-1284 ◽  
Author(s):  
RIC Chris Francis ◽  
Steven E Campana

In 1985, Boehlert (Fish. Bull. 83: 103–117) suggested that fish age could be estimated from otolith measurements. Since that time, a number of inferential techniques have been proposed and tested in a range of species. A review of these techniques shows that all are subject to at least one of four types of bias. In addition, they all focus on assigning ages to individual fish, whereas the estimation of population parameters (particularly proportions at age) is usually the goal. We propose a new flexible method of inference based on mixture analysis, which avoids these biases and makes better use of the data. We argue that the most appropriate technique for evaluating the performance of these methods is a cost–benefit analysis that compares the cost of the estimated ages with that of the traditional annulus count method. A simulation experiment is used to illustrate both the new method and the cost–benefit analysis.


1993 ◽  
Vol 31 (11) ◽  
pp. 41-44

The relationship between drug costs and treatment choices was the subject of the first annual Drug and Therapeutics Bulletin symposium held in March 1993.* In a time of severe financial constraints for the NHS it is important that the money available is well spent. In the case of treatment that means the benefits must be worth the cost. There is, however, no agreed way of deciding when a particular health benefit to an individual is worth the cost to the NHS. Drug prices are easier to measure and more consistent than the prices of other treatments, and may be more amenable to cost-benefit analysis. Treatment choices are made primarily by doctors but with critical input from patients, pharmacists, nurses and health service managers. In this article we give an overview of the symposium at which speakers described ways in which drug costs and treatment choices were tackled in general practice (Ann McPherson, John Howie), in hospital (Dorothy Anderson), in clinical research and audit (Iain Chalmers, Alison Frater), by consumers (Anna Bradley), by health economists (Mike Drummond) and by government (Joe Collier). We also take into account points raised in discussion by the participants.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heather J. Parker ◽  
Stephen Flowerday

Purpose Social media has created a new level of interconnected communication. However, the use of online platforms brings about various ways in which a user’s personal data can be put at risk. This study aims to investigate what drives the disclosure of personal information online and whether an increase in awareness of the value of personal information motivates users to safeguard their information. Design/methodology/approach Fourteen university students participated in a mixed-methods experiment, where responses to Likert-type scale items were combined with responses to interview questions to provide insight into the cost–benefit analysis users conduct when disclosing information online. Findings Overall, the findings indicate that users are able to disregard their concerns due to a resigned and apathetic attitude towards privacy. Furthermore, subjective norms enhanced by fear of missing out (FOMO) further allows users to overlook potential risks to their information in order to avoid social isolation and sanction. Alternatively, an increased awareness of the personal value of information and having experienced a previous privacy violation encourage the protection of information and limited disclosure. Originality/value This study provides insight into privacy and information disclosure on social media in South Africa. To the knowledge of the researchers, this is the first study to include a combination of the theory of planned behaviour and the privacy calculus model, together with the antecedent factors of personal valuation of information, trust in the social media provider, FOMO.


2021 ◽  
Author(s):  
R. Nandhi Kesavan ◽  
Latha K

Abstract Among all the threats to global diversity, climate change is the most severe cause. According to the world’s biodiversity conservation organization, reptile species are affected mostly because the biological and ecological traits of the reptiles are strongly linked with climate. To prevent species extinction, we tried to develop a decision support system that incurs the costs and benefits of reintroducing a taxon from its origin to adapt environmental conditions to conserve it from its extinction. The model was developed by applying multiple linear regressions that take the climatic variables and species traits to determine the cost and benefits for the distribution of species. The effectiveness of the model was evaluated by applying it to the Indian Black Turtle, which is an endangered species list in India evaluated by the International Union for Conservation of Nature list. The model recommends moving the species, which is endangered, to the location where it can save itself from climate change. However, the framework demonstrates huge differences in the estimated significance of climate change, and the model strategy helps to recognize the probable risk of increased revelation to critically endangered species.


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