scholarly journals Addressing transboundary conservation challenges through marine spatial prioritization

2018 ◽  
Author(s):  
ELENA GISSI ◽  
Jennifer McGowan ◽  
Chiara Venier ◽  
Davide Di Carlo ◽  
Francesco Musco ◽  
...  
Keyword(s):  
Biodiversity Conservation ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
The European Union ◽  
Trade Off ◽  
Support Tool ◽  
Spatial Prioritization ◽  
Country Level ◽  
Trade Offs ◽  
Maritime Industries

The Adriatic and Ionian Region (AIR) is an important area for both strategic maritime development and biodiversity conservation in the European Union (EU). However, given that both EU and non‐EU countries border the sea, multiple legal and regulatory frameworks operate at different scales which can hinder the coordinated long‐term sustainable development of the region. Transboundary marine (or maritime) spatial planning can help overcome these challenges by building consensus on planning objectives and making the trade‐offs between biodiversity conservation and its influence on economically important sectors more explicit. We approach this challenge by developing and testing four spatial prioritization strategies, using the decision‐support tool Marxan, which meets targets for biodiversity conservation whilst minimizing impacts to users. We evaluate these strategies in terms of how priority areas shift under different scales of target‐setting (e.g. regional versus country‐level). We also examine the trade‐off between cost‐efficiency and how equally solutions represent countries and maritime industries (N = 14) operating in the region using the Protection Equality metric. We show that there are negligible differences in where priority conservation areas are located when we set targets for biodiversity at the regional versus country scale. Conversely, the prospective impacts on industries, when considered as costs to be minimized, are highly divergent across scenarios and bias the placement of protection towards industries located in isolation or with few other industries. We conclude by making several recommendations to underpin future MSP efforts in the region, including the identification of: 1) areas of national significance, 2) transboundary areas requiring cooperation between countries, and 3) areas where impacts on maritime industries require careful consideration of the trade‐off between biodiversity conservation and socio‐economic objectives.

Simulation in food catering industry. A dashboard of performance indicators

2018 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Andrea Gallo ◽  
Riccardo Manzini
Keyword(s):  
Decision Support Tool ◽  
Point Of View ◽  
High Price ◽  
Main Concern ◽  
Support Tool ◽  
Safety Control ◽  
Catering Industry ◽  
Trade Offs ◽  
Single Production

"Contract catering industry is concerned with the production of ready-to-eat meals for schools, hospitals and private companies. The structure of this market is highly competitive, and customers are rarely willing to pay a high price for this catering service. A single production sites may be demanded up to 10.000 meals per day and these operations can hardly be managed via rule of thumbs without any quantitative decision support tool. This situation is common at several stages of a food supply chain and the methodologies presented in this paper are addressed to any food batch production system with similar complexity and trade-offs. This paper proposes an original KPI dashboard, designed to control costs, time and quality efficiency and helping managers to identify criticalities. Special emphasis is given on food safety control which is the management’s main concern and must be carefully monitored in each stage of the production. To calculate the value of KPIs a Montecarlo simulation approach is used to deal with production complexity and uncertainty. A case study showcases the potential of simulation in this complex industrial field. The case study illustrates an application of the methodology on an Italian company suffering local recipe contamination. The company aims at defining the best standard for production, identifying cycles being sustainable from an economic and environmental point of view."

scholarly journals Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2190 ◽  
Author(s):  
Rafael Dawid ◽  
David McMillan ◽  
Matthew Revie
Keyword(s):  
Wind Farm ◽  
Real Life ◽  
Synthetic Data ◽  
Optimal Solution ◽  
Decision Support Tool ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Support Tool ◽  
Trade Offs ◽  
The Impact

This paper for the first time captures the impact of uncertain maintenance action times on vessel routing for realistic offshore wind farm problems. A novel methodology is presented to incorporate uncertainties, e.g., on the expected maintenance duration, into the decision-making process. Users specify the extent to which these unknown elements impact the suggested vessel routing strategy. If uncertainties are present, the tool outputs multiple vessel routing policies with varying likelihoods of success. To demonstrate the tool’s capabilities, two case studies were presented. Firstly, simulations based on synthetic data illustrate that in a scenario with uncertainties, the cost-optimal solution is not necessarily the best choice for operators. Including uncertainties when calculating the vessel routing policy led to a 14% increase in the number of wind turbines maintained at the end of the day. Secondly, the tool was applied to a real-life scenario based on an offshore wind farm in collaboration with a United Kingdom (UK) operator. The results showed that the assignment of vessels to turbines generated by the tool matched the policy chosen by wind farm operators. By producing a range of policies for consideration, this tool provided operators with a structured and transparent method to assess trade-offs and justify decisions.

A decision-support tool to assist muscle-invasive bladder cancer patients choosing between radical cystectomy and chemoradiotherapy.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 505-505
Author(s):  
Brian Christopher Baumann ◽  
Wei-Ting Hwang ◽  
Sharadha Srinivasan ◽  
Xingmei Wang ◽  
Ronac Mamtani ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Decision Support ◽  
Decision Support Tool ◽  
Short Term ◽  
Muscle Invasive Bladder Cancer ◽  
Support Tool ◽  
Trade Offs ◽  
Muscle Invasive ◽  
Break Even Point

505 Background: Patients with high-risk muscle-invasive bladder cancer (MIBC) who are borderline medically operable for radical cystectomy (RC) face a difficult decision between RC which has higher short-term treatment-related morbidity/mortality & chemoradiotherapy (CRT) which is better tolerated in the short-term but may have worse long-term cancer control outcomes. There are no existing decision support tools to assist patients & providers in understanding these trade-offs. Herein, we developed a visualization tool to inform patients & providers how the relative risks & benefits of RC & CRT vary over time with respect to overall survival (OS). Methods: We identified cT2-3 N0 M0 urothelial bladder cancer patients ≥65 y/o treated with RC +/- chemo (n = 5981) or definitive-dose CRT after TURBT (n = 793) in the National Cancer Database, 2003-2011. The database was split into a development & validation cohort. Multivariate Cox regression with time-varying hazard ratio was performed to assess pre-treatment factors associated with OS. The inverse probability of treatment weighting method using the propensity score was employed to reduce selection bias. External validation was performed. Visualization tool showing adjusted survival curves based on pre-op patient features was generated with input from patients & a multidisciplinary expert panel. Tool calculates median OS & the “break-even point,” where the short-term OS disadvantage of RC equals the long-term advantage of RC (i.e. the point where the restricted mean survival for RC & CRT are equal). Results: On MVA, significant predictors of OS were age, Charlson Deyo comorbidity index, & cT stage (p < 0.001 for all). Using these results, we iteratively developed a web application that utilizes clinical inputs to generate patient-specific survival curves that display estimated OS differences over time. Median OS, the break-even point, & percent alive at the break-even point are provided. Conclusions: This is the first decision-support tool developed to assist high-risk borderline operable MIBC patients & their providers in understanding the short-term & long-term trade-offs between RC & CRT. Additional testing is underway.

scholarly journals Adaptive Sustainable Reuse for Cultural Heritage: A Multiple Criteria Decision Aiding Approach Supporting Urban Development Processes

2020 ◽  
Vol 12 (4) ◽  
pp. 1363 ◽  
Author(s):  
Lucia Della Spina
Keyword(s):  
Cultural Heritage ◽  
Local Development ◽  
Evaluation Model ◽  
Adaptive Reuse ◽  
Decisive Role ◽  
Decision Support Tool ◽  
Development Strategies ◽  
The European Union ◽  
Support Tool ◽  
Decision Aiding

The European Union identifies the cultural heritage of cities as the main driver of development strategies. From this perspective, adaptive reuse can play a decisive role not only in terms of increasing the life cycle of the heritage but also as an urban strategy capable of generating new economic, cultural, and social values, thus supporting innovative dynamics of local development. The aim is to propose an integrated evaluation model based on the combined use of multi-criteria techniques, which helps to classify adaptive reuse strategies of unused cultural heritage assets and supports decision-makers in the implementation of development strategies in vulnerable contexts. The case study focuses on the potential reuse of some historical fortifications located along the coasts of the Strait of Messina in Southern Italy. The results obtained show that the proposed model can be a useful decision support tool, in contexts characterized by high complexity, able to guarantee the transparency of the decision-making process, and in which it is necessary to highlight the elements that influence the dynamics of the choice for the construction of shared development strategies.

scholarly journals Planning and Suitability Assessment of Large-scale Nature-based Solutions for Flood-risk Reduction

2021 ◽  
Author(s):  
Adam Mubeen ◽  
Laddaporn Ruangpan ◽  
Zoran Vojinovic ◽  
Arlex Sanchez Torrez ◽  
Jasna Plavšić
Keyword(s):  
Flood Risk ◽  
Large Scale ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
Climate Projections ◽  
Suitable Alternative ◽  
Support Tool ◽  
Suitability Assessment ◽  
Suitability Maps

AbstractAdverse effects of climate change are increasing around the world and the floods are posing significant challenges for water managers. With climate projections showing increased risks of storms and extreme precipitation, the use of traditional measures alone is no longer an option. Nature-Based Solutions (NBS) offer a suitable alternative to reduce the risk of flooding and provide multiple benefits. However, planning such interventions requires careful consideration of various factors and local contexts. The present paper provides contribution in this direction and it proposes a methodology for allocation of large-scale NBS using suitability mapping. The methodology was implemented within the toolboxes of ESRI ArcMap software in order to map suitability for four types of NBS interventions: floodplain restoration, detention basins, retention ponds, and river widening. The toolboxes developed were applied to the case study area in Serbia, i.e., the Tamnava River basin. Flood maps were used to determine the volume of floodwater that needs to be stored for reducing flood risk in the basin and subsequent downstream areas. The suitability maps produced indicate the potential of the new methodology and its application as a decision-support tool for selection and allocation of large-scale NBS.

scholarly journals A systematic conservation planning approach to maintaining ecosystem service provision in working landscapes

FACETS ◽  
2021 ◽  
Vol 6 ◽  
pp. 1570-1600
Author(s):  
Jérôme Cimon-Morin ◽  
Jean-Olivier Goyette ◽  
Poliana Mendes ◽  
Stéphanie Pellerin ◽  
Monique Poulin
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Conservation Planning ◽  
Decision Support Tool ◽  
Well Being ◽  
Efficient Production ◽  
Systematic Conservation Planning ◽  
Support Tool ◽  
Working Landscapes ◽  
Trade Offs

Balancing human well-being with the maintenance of ecosystem services (ES) for future generations has become one of the central sustainability challenges of the 21st century. In working landscapes, past and ongoing production-centered objectives have resulted in the conversion of ecosystems into simple land-use types, which has also altered the provision of most ES. These inevitable trade-offs between the efficient production of individual provisioning ES and the maintenance of regulating and cultural ES call for the development of a land-use strategy based on the multifunctional use of the landscape. Due to the heterogeneous nature of working landscapes, both protection and restoration actions are needed to improve their multifunctionality. Systematic conservation planning (SCP) offers a decision support framework that can support landscape multifunctionality by indicating where ES management efforts should be implemented. We describe an approach that we developed to include ES provision protection and restoration objectives in SCP with the goal of providing ongoing benefits to society. We explain the general framework of this approach and discuss concepts, challenges, innovations, and prospects for the further development of a comprehensive decision support tool. We illustrate our approach with two case studies implemented in the pan-Canadian project ResNet.

scholarly journals The Geography of the Covid-19 Pandemic: A Data-Driven Approach to Exploring Geographical Driving Forces

2021 ◽  
Vol 18 (6) ◽  
pp. 2803
Author(s):  
Frederik Seeup Hass ◽  
Jamal Jokar Arsanjani
Keyword(s):  
Driving Forces ◽  
Regional Scale ◽  
Decision Support Tool ◽  
Ordinary Least Squares ◽  
Data Driven ◽  
Infection Rates ◽  
Support Tool ◽  
Pollution Levels ◽  
Country Level ◽  
Data Driven Approach

The Covid-19 pandemic emerged and evolved so quickly that societies were not able to respond quickly enough, mainly due to the nature of the Covid-19 virus’ rate of spread and also the largely open societies that we live in. While we have been willingly moving towards open societies and reducing movement barriers, there is a need to be prepared for minimizing the openness of society on occasions such as large pandemics, which are low probability events with massive impacts. Certainly, similar to many phenomena, the Covid-19 pandemic has shown us its own geography presenting its emergence and evolving patterns as well as taking advantage of our geographical settings for escalating its spread. Hence, this study aims at presenting a data-driven approach for exploring the spatio-temporal patterns of the pandemic over a regional scale, i.e., Europe and a country scale, i.e., Denmark, and also what geographical variables potentially contribute to expediting its spread. We used official regional infection rates, points of interest, temperature and air pollution data for monitoring the pandemic’s spread across Europe and also applied geospatial methods such as spatial autocorrelation and space-time autocorrelation to extract relevant indicators that could explain the dynamics of the pandemic. Furthermore, we applied statistical methods, e.g., ordinary least squares, geographically weighted regression, as well as machine learning methods, e.g., random forest for exploring the potential correlation between the chosen underlying factors and the pandemic spread. Our findings indicate that population density, amenities such as cafes and bars, and pollution levels are the most influential explanatory variables while pollution levels can be explicitly used to monitor lockdown measures and infection rates at country level. The choice of data and methods used in this study along with the achieved results and presented discussions can empower health authorities and decision makers with an interactive decision support tool, which can be useful for imposing geographically varying lockdowns and protectives measures using historical data.

scholarly journals Development and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in India

10.29007/k9xx ◽  
2018 ◽  
Author(s):  
Seyed M. K. Sadr ◽  
Matthew Johns ◽  
Fayyaz Memon ◽  
Mark Morley ◽  
Dragan Savic
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
Contributing Factors ◽  
Support Tool ◽  
Treatment Technologies ◽  
User Friendly

The selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimizer (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimization and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling stakeholders to make more informed decisions. The tool was applied to three different scenarios to test its functionalities and assess treatment technologies potential for different contexts. Initial results suggest that it is possible to automatically generate feasible distinct treatment strategies for user-defined contexts/constraints.

scholarly journals Smart Altitude

2021 ◽  
Author(s):  
Gianni Baldessari ◽  
Oliver Bender ◽  
Domenico Branca ◽  
Luigi Crema ◽  
Anna Giorgi ◽  
...  
Keyword(s):  
Energy Transition ◽  
Decision Support Tool ◽  
Final Report ◽  
Low Carbon ◽  
The European Union ◽  
Mountain Areas ◽  
Support Tool ◽  
Winter Tourism ◽  
Living Labs ◽  
Alpine Space

This final report summarizes the outcomes of the Smart Altitude project. The Smart Altitude project ran from June 2018 to April 2021 and was carried out by ten partners from six different countries in the Alpine Space (Austria, France, Italy, Germany, Slovenia, and Switzerland). The project was co-financed by the European Union via Interreg Alpine Space. The aim of the project was to enable and accelerate the implementation of low-carbon policies in winter tourism regions by demonstrating the efficiency of a step-by-step decision support tool for energy transition in four Living Labs. The project targeted policymakers, ski resort operators, investors, tourism, and entrepreneurship organizations. The Smart Altitude approach was designed to ensure suitability across the Alpine Space, thereby fostering its replication and uptake in other winter tourism regions and thus increasing the resilience of mountain areas.

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