Rodyti trumpą aprašą

dc.contributor.authorCong, Xuhui
dc.contributor.authorMa, Li
dc.contributor.authorWang, Liang
dc.contributor.authorŠaparauskas, Jonas
dc.contributor.authorGórecki, Jarosław
dc.contributor.authorSkibniewski, Miroslaw J.
dc.date.accessioned2023-09-18T20:35:03Z
dc.date.available2023-09-18T20:35:03Z
dc.date.issued2021
dc.identifier.issn0959-6526
dc.identifier.other(SCOPUS_ID)85097459837
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/151077
dc.description.abstractDue to the negative impact of Heavy Pollution Projects (HPPs) on the surrounding environment and the general public's daily life, HPPs are often resisted by the public during the site selection process, resulting in “Not in My Back Yard (NIMBY)” events, which hinder the implementation of the project. Demonstrating an early warning system is important to determine the NIMBY likeliness of HPPs. However, the existing literature related to the NIMBY assessment has deficiencies in terms of the assessment subject, method, and procedure. The aim of the study was to establish an early warning system to determine NIMBY level of HPPs in China. The early warning system was constructed based on the ordered weighted averaging operator and cloud model from the perspective of public perception. The results showed that the NIMBY level of the case project was “Center”, and the indicators with “High” level included the public security influence, the impact of production safety accidents, the impact of wastewater pollution, and the impact of toxic gas pollution. Finally, by analyzing the NIMBY issues for the project, we propose suggestions for the prevention and treatment of social security issues, production safety accidents, and wastewater and toxic gas pollution. To reduce the NIMBY level and ensure the smooth implementation of the project, the environmental protection department of the government should strengthen its environmental protection supervision, and the enterprise should strengthen the social safety management of workers, establish a perfect production management system, and upgrade and improve the treatment facilities of wastewater and toxic gas.eng
dc.formatPDF
dc.format.extentp. 167-174
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyFLUIDEX
dc.relation.isreferencedbyGEOBASE
dc.source.urihttps://www.sciencedirect.com/science/article/abs/pii/S0959652620354445?via%3Dihub
dc.source.urihttps://doi.org/10.1016/j.jclepro.2020.125398
dc.titleThe early warning system for determining the “not in My Back Yard” of heavy pollution projects based on public perception
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references102
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionDalian University of Technology
dc.contributor.institutionDalian University of Technology Dalian University of Technology
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of Science and Technology Bydgoszcz
dc.contributor.institutionUniversity of Science and Technology Bydgoszcz University of Maryland Polish Academy of Sciences Chaoyang University of Technology
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsSD0202 - Aplinką tausojančios statybinės medžiagos ir technologijos / Low emissions building materials and technologies
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enheavy pollution projects
dc.subject.enNot in My Back Yard
dc.subject.enearly warning system
dc.subject.enpublic perception
dcterms.sourcetitleJournal of cleaner production
dc.description.volumevol. 282
dc.publisher.nameElsevier
dc.publisher.cityOxford, Kidlington
dc.identifier.doi2-s2.0-85097459837
dc.identifier.doiS0959652620354445
dc.identifier.doi85097459837
dc.identifier.doi0
dc.identifier.doi000608119700005
dc.identifier.doi10.1016/j.jclepro.2020.125398
dc.identifier.elaba78449293


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