Public perception for monitoring and management of environmental risk: the case of the tires’ fire in Drama region, Greece

Abstract

This paper analyzes residents’ perceptions concerning an industrial accident with environmental impacts. The data used were obtained by 505 face-to-face interviews. Binary and logit models were developed to elicit parameters that affect the risk perception of residents in nearby potentially affected agglomerations. Additionally, using geographical information systems, the spatial properties of risk perception of the accident are presented interpolating the point data so as to produce various grids of risk perception. Finally, we estimated the willingness to pay (and parameters affecting it) for remediation to environmental monitoring with the aid of a proposed trusted lab.

Keywords:

• binary regression
• environmental risk
• GIS
• kriging
• risk perception
• willingness to pay

Acknowledgements

This work was funded by the Engineers and Public Constructors Pension Fund, which is a periodic funding for independent research by faculty members of Engineering Schools in Greece.