Analysis of influencing factors on public perception in contaminated site management: Simulation by structural equation modeling at four sites in China
Analysis of influencing factors on public perception in contaminated site management: Simulation by structural equation modeling at four sites in China
Public perception towards contaminated site management, a not readily quantifiable latent parameter, was linked through structural equation modeling in this paper to 22 measurable/observable manifest variables associated with the extent of information dissemination and public knowledge of soil pollution, attitude towards remediation policies, and participation in risk mitigation processes. Data obtained through a survey of 412 community residents at four remediation sites in China were employed in the model validation. The outcomes showed that public perception towards contaminated site management might be explained through selected measurable parameters in five categories, namely information disclosure, knowledge of soil pollution, expectations of remediation and redevelopment outcomes, public participation, and site policy, along with their interactions. Among these, information dissemination and attitude towards management policies exhibited significant influence in promoting positive public perception. Based on these examples, responsible agencies therefore should focus on public accessibility to reliable information, and encourage public inputs into policies for contaminated site management, in order to gain public confidence during remediation and regeneration projects.
299-306
Li, Xiaonuo
05e8eb6d-45b7-49bd-8eae-2e1d5d1b4800
Chen, Weiping
932395b9-a198-453f-af8a-4e63f8505f8b
Cundy, Andrew B.
994fdc96-2dce-40f4-b74b-dc638286eb08
Chang, Andrew C.
05fe2e7b-d684-421e-9c31-292ef1883352
Jiao, Wentao
36f5f10d-bcd5-4c58-a1d0-8210cf7f65a2
15 March 2018
Li, Xiaonuo
05e8eb6d-45b7-49bd-8eae-2e1d5d1b4800
Chen, Weiping
932395b9-a198-453f-af8a-4e63f8505f8b
Cundy, Andrew B.
994fdc96-2dce-40f4-b74b-dc638286eb08
Chang, Andrew C.
05fe2e7b-d684-421e-9c31-292ef1883352
Jiao, Wentao
36f5f10d-bcd5-4c58-a1d0-8210cf7f65a2
Li, Xiaonuo, Chen, Weiping, Cundy, Andrew B., Chang, Andrew C. and Jiao, Wentao
(2018)
Analysis of influencing factors on public perception in contaminated site management: Simulation by structural equation modeling at four sites in China.
Journal of Environmental Management, 210, .
(doi:10.1016/j.jenvman.2018.01.029).
Abstract
Public perception towards contaminated site management, a not readily quantifiable latent parameter, was linked through structural equation modeling in this paper to 22 measurable/observable manifest variables associated with the extent of information dissemination and public knowledge of soil pollution, attitude towards remediation policies, and participation in risk mitigation processes. Data obtained through a survey of 412 community residents at four remediation sites in China were employed in the model validation. The outcomes showed that public perception towards contaminated site management might be explained through selected measurable parameters in five categories, namely information disclosure, knowledge of soil pollution, expectations of remediation and redevelopment outcomes, public participation, and site policy, along with their interactions. Among these, information dissemination and attitude towards management policies exhibited significant influence in promoting positive public perception. Based on these examples, responsible agencies therefore should focus on public accessibility to reliable information, and encourage public inputs into policies for contaminated site management, in order to gain public confidence during remediation and regeneration projects.
Text
Li et al 2018 JEMA for PURE upload
- Accepted Manuscript
More information
Accepted/In Press date: 8 January 2018
e-pub ahead of print date: 1 February 2018
Published date: 15 March 2018
Identifiers
Local EPrints ID: 417560
URI: http://eprints.soton.ac.uk/id/eprint/417560
ISSN: 0301-4797
PURE UUID: 3c72f111-e61c-48c2-b134-486a973f6556
Catalogue record
Date deposited: 05 Feb 2018 17:30
Last modified: 16 Mar 2024 06:11
Export record
Altmetrics
Contributors
Author:
Xiaonuo Li
Author:
Weiping Chen
Author:
Andrew C. Chang
Author:
Wentao Jiao
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics