Identifying Factors Affecting the Sustainability of Water Environment Treatment Public-Private Partnership Projects

Li, H; Xia, Q; Wen, S; Wang, L; Lv, L

Identifying Factors Affecting the Sustainability of Water Environment Treatment Public-Private Partnership Projects

Li, H Xia, Q Wen, S

Wang, L Lv, L

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Publisher:: Hindawi Publishing Corporation
Publication Type:: Journal Article
Citation:: Advances in Civil Engineering, 2019, 2019, pp. 1-15
Issue Date:: 2019-05-02

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Field	Value	Language
dc.contributor.author	Li, H
dc.contributor.author	Xia, Q
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Wang, L
dc.contributor.author	Lv, L
dc.date.accessioned	2022-08-15T06:10:39Z
dc.date.available	2022-08-15T06:10:39Z
dc.date.issued	2019-05-02
dc.identifier.citation	Advances in Civil Engineering, 2019, 2019, pp. 1-15
dc.identifier.issn	1687-8086
dc.identifier.issn	1687-8094
dc.identifier.uri	http://hdl.handle.net/10453/160226
dc.description.abstract	<jats:p>Sustainability has recently been acknowledged as a crucial issue in infrastructure projects. Developing a model to evaluate project sustainability according to sustainability indicators plays a major role in promoting the sustainable development of water environment treatment public-private partnership (PPP) projects. Traditional sustainability assessments are mostly based on the triple bottom line (economic, social, and environmental) and lack a more integrated indicator system. To connect the research gap, this paper identifies 27 factors that affect the sustainability of water environment treatment PPP projects from five dimensions: economy, society, resources and environment, engineering, and project management using exploratory factor analysis. The fitting degree between the model and original data is verified by confirmatory factor analysis. The results showed that the fitting was successful. This paper makes two contributions: first, it provides a comprehensive sustainability evaluation indicator system from five aspects, laying a foundation for the evaluation of project sustainability. Second, this study defines a methodology to evaluate and rank factors, identifies the indicators that show the most significant impact on project sustainability in the five dimensions, which provide a reliable reference for the public and private sector to take appropriate measures to improve the sustainability level of water environment treatment public-private partnership projects.</jats:p>
dc.language	English
dc.publisher	Hindawi Publishing Corporation
dc.relation.ispartof	Advances in Civil Engineering
dc.relation.isbasedon	10.1155/2019/7907234
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0905 Civil Engineering
dc.title	Identifying Factors Affecting the Sustainability of Water Environment Treatment Public-Private Partnership Projects
dc.type	Journal Article
utslib.citation.volume	2019
utslib.for	0905 Civil Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-15T06:10:26Z
pubs.publication-status	Published
pubs.volume	2019

Abstract:

Sustainability has recently been acknowledged as a crucial issue in infrastructure projects. Developing a model to evaluate project sustainability according to sustainability indicators plays a major role in promoting the sustainable development of water environment treatment public-private partnership (PPP) projects. Traditional sustainability assessments are mostly based on the triple bottom line (economic, social, and environmental) and lack a more integrated indicator system. To connect the research gap, this paper identifies 27 factors that affect the sustainability of water environment treatment PPP projects from five dimensions: economy, society, resources and environment, engineering, and project management using exploratory factor analysis. The fitting degree between the model and original data is verified by confirmatory factor analysis. The results showed that the fitting was successful. This paper makes two contributions: first, it provides a comprehensive sustainability evaluation indicator system from five aspects, laying a foundation for the evaluation of project sustainability. Second, this study defines a methodology to evaluate and rank factors, identifies the indicators that show the most significant impact on project sustainability in the five dimensions, which provide a reliable reference for the public and private sector to take appropriate measures to improve the sustainability level of water environment treatment public-private partnership projects.

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http://hdl.handle.net/10453/160226