The University of Southampton
University of Southampton Institutional Repository

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
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.
0301-4797
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
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, pp. 299-306. (doi:10.1016/j.jenvman.2018.01.029).

Record type: Article

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
Restricted to Repository staff only until 15 March 2019.
Request a copy

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: https://eprints.soton.ac.uk/id/eprint/417560
ISSN: 0301-4797
PURE UUID: 3c72f111-e61c-48c2-b134-486a973f6556
ORCID for Andrew B. Cundy: ORCID iD orcid.org/0000-0003-4368-2569

Catalogue record

Date deposited: 05 Feb 2018 17:30
Last modified: 19 Feb 2018 17:30

Export record

Altmetrics

Contributors

Author: Xiaonuo Li
Author: Weiping Chen
Author: Andrew B. Cundy ORCID iD
Author: Andrew C. Chang
Author: Wentao Jiao

University divisions

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

Library staff edit
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×