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In England quantified targets for the reuse of brownfields and of existing buildings place particular requirements on the planning system as part of the overall strategy to make effective use of natural resources. Achieving these targets is not free of obstacles and potential conflicts. Therefore monitoring of policy implementation is a necessity in the planning system. In addition challenging targets for increased housing provision have been introduced. In view of this the dichotomy of adequate housing-land supply without compromising environmental quality must be addressed. As a consequence monitoring will play an increasingly important role. This paper explores how these challenges can be met. It draws upon practical experience across all planning tiers to highlight the potential and limitations of indicator based monitoring.

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in particular areas. Participants performed a Visual Analog Scale valuation of five EQ-5D health states: one severe, two mild and two medium. Health states were described generically. Only better-than-death valuations were taken into account. Individuals valuing a state as worse than death were excluded from that state. Results: The total number of valid observations for each heath state fell between 100 and 110, with the exception of the severe state (62). Results were different depending on healthstate and test. Gallup's ladder and life satisfaction tests were not correlated with any valuation. A medium health state was not correlated to any happiness test. Severe states were more correlated to emotions than milder states. "Not very happy" people in the Global happiness test had lower valuations for a mild state (rho= -0.224, p< 0.10). Positive affects were negatively correlated with valuations. (rho= -0.306, -.0252, p< 0.05, p< 0.10, rho= 0.335, p< 0.05, rho= -282, p< 0.05). Negative affects increased valuations of a medium and a mild states (rho= 0.25, 0.313, p< 0.10). Satisfaction in particular areas of life also had an impact on extreme states. ConClusions: Some states, but not all, seem to be more easily affected by emotional variables. The results suggest that more severe health states are valued higher when the respondent has had negative affects, and lower when she has had positive affects.