Decision-Making Support for Housing Projects in Post-Industrial Areas

Managing Health Concerns Related to Post-Industrial Sites Redevelopment: A Warsaw, Poland Case Study

An important issue in the redevelopment of post-industrial sites, e.g., into housing, is the resolution of contaminated land issues, including health risks and environmental protection. The purpose of this article is to examine awareness of this aspect from the perspective of city or such site residents, using Warsaw as an example. Using a survey-style form data collection technique, a total of 55 fully completed survey questionnaires were collected and analysed using cross-tabulation. Furthermore, a desk research methodology was used to study the availability of sources on industrial areas and their transformation from the perspective of different stakeholder groups involved in the development of such areas in Poland. Similarly, information management was assessed from the viewpoint of information communities participating or being affected by redevelopment processes. The survey results evidenced that respondents are aware that post-industrial sites may be contaminated, but do not associate the possibility of potential health risks when residing on or near such sites. The analysis of the management of information on the reurbanisation of post-industrial sites in urban areas in Poland, including the availability of data on location and contamination, revealed a problematic data flow between central and local level authorities and mootable consistency of legal acts. Public awareness of negative phenomena, such as contamination and the consequent health risks associated with dwelling in such sites, can positively influence, as an input to monitoring and enforcement, the actions taken by other stakeholders in the clean-up processes of contaminated sites and force improvements in the management of such information. The flow of information, the activities forming the information function, and the decision-making process can be improved by technologies, such as spatial information systems and their infrastructures, by facilitating the integration of data from multiple sources and consequently enabling the analysis to be extended to include further relevant data.