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Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.

Research & information: general --- Mathematics & science --- streamflow forecasting --- C-vine copula --- quantile regression --- joint dependencies --- water resource management --- ecological relationship --- factorial analysis --- input-output analysis --- optimal path --- reduction --- urban solid waste system --- desalination --- reverse osmosis --- modelling --- simulation --- parameter estimation --- seawater --- boron --- watershed management --- nonpoint source pollution --- point source pollution --- water quality --- pollutant loadings --- South Texas --- eco-efficiency --- DEA --- CO2 emissions --- forecasting --- ecological indicators --- biomass gasification --- machine learning --- computer modeling --- computer simulation --- regression --- model reduction --- LASSO --- classification --- feature selection --- financial market --- investing --- sustainability --- renewable energy support --- energy modeling --- energy system design --- generation profile --- environmental footprint --- renewable energy --- electricity production --- unlisted companies --- Germany --- feed-in tariff --- biofuel policy --- investment profitability analysis --- the pay-off method --- simulation decomposition --- sourcing --- operational flexibility --- business aviation --- turboprop --- electric motor --- specific power --- Monte Carlo simulation --- Iowa food-energy-water nexus --- nitrogen export --- system modeling --- weather modeling --- optimal allocation --- interval --- fuzzy --- dynamic programming --- water resources --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.

streamflow forecasting --- C-vine copula --- quantile regression --- joint dependencies --- water resource management --- ecological relationship --- factorial analysis --- input-output analysis --- optimal path --- reduction --- urban solid waste system --- desalination --- reverse osmosis --- modelling --- simulation --- parameter estimation --- seawater --- boron --- watershed management --- nonpoint source pollution --- point source pollution --- water quality --- pollutant loadings --- South Texas --- eco-efficiency --- DEA --- CO2 emissions --- forecasting --- ecological indicators --- biomass gasification --- machine learning --- computer modeling --- computer simulation --- regression --- model reduction --- LASSO --- classification --- feature selection --- financial market --- investing --- sustainability --- renewable energy support --- energy modeling --- energy system design --- generation profile --- environmental footprint --- renewable energy --- electricity production --- unlisted companies --- Germany --- feed-in tariff --- biofuel policy --- investment profitability analysis --- the pay-off method --- simulation decomposition --- sourcing --- operational flexibility --- business aviation --- turboprop --- electric motor --- specific power --- Monte Carlo simulation --- Iowa food-energy-water nexus --- nitrogen export --- system modeling --- weather modeling --- optimal allocation --- interval --- fuzzy --- dynamic programming --- water resources --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.

Research & information: general --- Mathematics & science --- streamflow forecasting --- C-vine copula --- quantile regression --- joint dependencies --- water resource management --- ecological relationship --- factorial analysis --- input-output analysis --- optimal path --- reduction --- urban solid waste system --- desalination --- reverse osmosis --- modelling --- simulation --- parameter estimation --- seawater --- boron --- watershed management --- nonpoint source pollution --- point source pollution --- water quality --- pollutant loadings --- South Texas --- eco-efficiency --- DEA --- CO2 emissions --- forecasting --- ecological indicators --- biomass gasification --- machine learning --- computer modeling --- computer simulation --- regression --- model reduction --- LASSO --- classification --- feature selection --- financial market --- investing --- sustainability --- renewable energy support --- energy modeling --- energy system design --- generation profile --- environmental footprint --- renewable energy --- electricity production --- unlisted companies --- Germany --- feed-in tariff --- biofuel policy --- investment profitability analysis --- the pay-off method --- simulation decomposition --- sourcing --- operational flexibility --- business aviation --- turboprop --- electric motor --- specific power --- Monte Carlo simulation --- Iowa food-energy-water nexus --- nitrogen export --- system modeling --- weather modeling --- optimal allocation --- interval --- fuzzy --- dynamic programming --- water resources

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The pandemic period has caused severe socio-economic damage, but it is accompanied by environmental deterioration that can also affect economic opportunities and social equity. In the face of this double risk, future generations are ready to be resilient and make their contribution not only on the consumption side, but also through their inclusion in all companies by bringing green and circular principles with them. Policy makers can also favor this choice.

Technology: general issues --- mobility choice --- COVID-19 --- best–worst method --- multi-criteria decision making --- air pollution --- air quality --- health effects --- economic burden --- food system --- circular economy --- sustainability --- EU --- Twitter --- COVID-19 pandemic --- local community --- perception analysis --- econometric modeling --- data science --- reflexive governance --- climate change --- infrastructure --- urban resilience --- social sustainability --- economic sustainability --- environmental sustainability --- China --- business --- innovation ecosystem --- innovation strategy --- electric vehicle --- dominant design --- crisis --- pandemic --- higher education --- digitalization --- distance learning --- Covid-19 outbreak --- resilience --- n/a --- strategic resilience --- multi-domain resilience --- strategic agility --- change --- sustainability strategy --- financialization --- TFP --- innovation --- resilience of city --- infectious disease --- urban planning --- supply chain resilience --- IT disruptions --- efficiency measurement --- warehouse logistics --- DEA --- resilient supply chains --- external capital --- customer–supplier relationship --- circular network --- cyber-security --- e-commerce --- Europe --- supply chain collaboration --- small- and medium-sized enterprises --- grey DEMATEL --- fuzzy best-worst method --- agrivoltaic system --- solar photovoltaics --- agronomic management --- crop production --- Food-Energy-Water nexus --- sustainable integration --- women’s leadership --- America Latina --- small and medium-sized enterprises --- renewable energy --- sustainable electricity production --- socio-economic sustainability --- sustainable development goals --- emission level --- levelized cost --- gross domestic product --- pig farmers --- adoption willingness of IoT traceability technology --- Unified Theory of Acceptance and Use of Technology --- Latent Moderate Structural Equations --- biomethane --- natural gas grid --- bioenergy --- biogas --- gas supply decarbonization --- incentives --- competences --- digitization --- digital transformation --- Asia Pacific --- CO2 emission --- demand shock --- hypothetical extraction method --- input–output model --- sectoral linkage --- emerging cities --- sustainable operations --- case studies --- the Asian region --- resilience decisions --- cybersecurity --- consumers’ awareness --- methodology --- best-worst method --- customer-supplier relationship --- women's leadership --- input-output model --- consumers' awareness

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The pandemic period has caused severe socio-economic damage, but it is accompanied by environmental deterioration that can also affect economic opportunities and social equity. In the face of this double risk, future generations are ready to be resilient and make their contribution not only on the consumption side, but also through their inclusion in all companies by bringing green and circular principles with them. Policy makers can also favor this choice.

Technology: general issues --- mobility choice --- COVID-19 --- best-worst method --- multi-criteria decision making --- air pollution --- air quality --- health effects --- economic burden --- food system --- circular economy --- sustainability --- EU --- Twitter --- COVID-19 pandemic --- local community --- perception analysis --- econometric modeling --- data science --- reflexive governance --- climate change --- infrastructure --- urban resilience --- social sustainability --- economic sustainability --- environmental sustainability --- China --- business --- innovation ecosystem --- innovation strategy --- electric vehicle --- dominant design --- crisis --- pandemic --- higher education --- digitalization --- distance learning --- Covid-19 outbreak --- resilience --- strategic resilience --- multi-domain resilience --- strategic agility --- change --- sustainability strategy --- financialization --- TFP --- innovation --- resilience of city --- infectious disease --- urban planning --- supply chain resilience --- IT disruptions --- efficiency measurement --- warehouse logistics --- DEA --- resilient supply chains --- external capital --- customer-supplier relationship --- circular network --- cyber-security --- e-commerce --- Europe --- supply chain collaboration --- small- and medium-sized enterprises --- grey DEMATEL --- fuzzy best-worst method --- agrivoltaic system --- solar photovoltaics --- agronomic management --- crop production --- Food-Energy-Water nexus --- sustainable integration --- women's leadership --- America Latina --- small and medium-sized enterprises --- renewable energy --- sustainable electricity production --- socio-economic sustainability --- sustainable development goals --- emission level --- levelized cost --- gross domestic product --- pig farmers --- adoption willingness of IoT traceability technology --- Unified Theory of Acceptance and Use of Technology --- Latent Moderate Structural Equations --- biomethane --- natural gas grid --- bioenergy --- biogas --- gas supply decarbonization --- incentives --- competences --- digitization --- digital transformation --- Asia Pacific --- CO2 emission --- demand shock --- hypothetical extraction method --- input-output model --- sectoral linkage --- emerging cities --- sustainable operations --- case studies --- the Asian region --- resilience decisions --- cybersecurity --- consumers' awareness --- methodology