Abstract copyright UK Data Service and data collection copyright owner.
This is a mixed method data collection. The study is part of the Rural Economy and Land Use(RELU) programme. RELU-RISK is a multidisciplinary project which brings together natural science modelling of risks and uncertainties in the food chain with social science approaches to understanding consumer behaviours, risk communication and participatory processes. This involved the design, development and evaluation of participatory processes and tools for involving stakeholders, particularly those in rural communities, throughout the management and mitigation of a food safety issue or risk event, ensuring that full account is taken of a wide range of potential social, economic and political impacts as well as the more immediate public health related and safety issues. This was achieved through the development of a system for modelling technical risk and uncertainty using a state of the art probabilistic tool using 2D Monte Carlo and Bayesian methods to quantify variability and uncertainty. There are inputs into this process from modular food chain models and studies estimating the impact of risks on consumer behaviour, along with close interactions with the development of communication and decision support interfaces based on a mental models approach. Throughout the project stakeholder participatory process research was used both to define the interfaces needed and evaluate the outcomes from the project. Three risk case studies were used in the development and evaluation of the overall system. The data deposited arise from the research conducted on consumer behaviour. Further information for this study may be found through the ESRC Research Catalogue webpage: Integration of Social, Natural Sciences to Develop Improved Tools: Assessing and Managing Food Chain Risks.
Main Topics:
Food chain risk, participatory process, trust, consumer behaviour, stakeholder participation, risk communication, rural community, public health, decision support tool, and food safety.
Simple random sample
Postal survey
Focus group
Workshops; Experiments; Web site participation; Risk modelling.
