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dc.contributor.authorBarrios-Crespo, Esther
dc.contributor.authorTorres Ortega, Saúl 
dc.contributor.authorDíaz Simal, Pedro 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-01-19T18:18:44Z
dc.date.available2022-01-19T18:18:44Z
dc.date.issued2021
dc.identifier.issn1661-7827
dc.identifier.issn1660-4601
dc.identifier.otherBIA 2017-89401-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/23756
dc.description.abstractABSTRACT: In recent decades, cities have been experiencing accelerated population growth, associated with an increase in the scales of production and consumption. This fact, combined with deficient management of resources and waste, has led to the loss of biological diversity, compromising the generation of ecosystem services, with disastrous consequences for human health and well-being, but also for the economic system. In the field of civil engineering, the predominance of artificialisation and impermeabilization of cities (called "grey engineering") is being questioned to be replaced or complemented with new types of infrastructures that represent a transformative change to achieving more sustainable cities. Through system dynamics applied to the economic modelling of the city of Santander (Spain), the aim of this study is to analyse the profitability of investment in ecosystem restoration and in both green and blue infrastructure, and of the implementation of environmental policies based on the relationships of affection established in the model, which represent the interactions between the main actors in urban dynamics. As a main conclusion, it is found that investing in green infrastructures and ecosystem restoration, and environmental policies is highly profitable: EUR 1 spent can produce up to EUR 100 as a benefit.es_ES
dc.description.sponsorshipThis research was funded by Spanish Ministry of Science and Innovation through the grant RISKOADAPT (BIA 2017-89401-R).es_ES
dc.format.extent24 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceInternational Journal of Environmental Research and Public Health 2021, 18, 20, 10994es_ES
dc.subject.otherSystem dynamicses_ES
dc.subject.otherGreen and blue infrastructurees_ES
dc.subject.otherEcological restorationes_ES
dc.subject.otherProfitability analysises_ES
dc.subject.otherUrban modellinges_ES
dc.titleDeveloping a Dynamic Model for Assessing Green Infrastructure Investments in Urban Areases_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.3390/ijerph182010994es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-89401-R/ES/ANALISIS DE RIESGOS PARA LA IMPLEMENTACION DE PROYECTOS DE ADAPTACION AL CAMBIO CLIMATICO EN LA COSTA EN UN MARCO DE INCERTIDUMBRE
dc.identifier.DOI10.3390/ijerph182010994
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.