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    Multi-Criteria Site Scoring: Comparing Evidence and Trade-offs

    How to compare development sites using declared criteria, weights, missing-data checks and sensitivity tests without treating a score as an objective planning decision.

    ·2 min read·By Shatakshi Patil, Architect

    Quick answer

    Multi-criteria site comparison organises evidence against an agreed set of criteria and weights. It can make trade-offs easier to discuss, but the weights express priorities rather than an objective truth. Separate non-negotiable constraints and missing evidence from the weighted score, then test whether the preferred option changes under reasonable alternative assumptions.

    A single score is easy to communicate and easy to overinterpret. A useful comparison shows the values, definitions, sources and decisions behind it so another reviewer can understand why a site or option appears preferable.

    Define the decision and comparable alternatives

    State the use, development stage and alternatives being compared. A study selecting sites for further investigation differs from choosing a detailed design. Use the same boundary rule, evidence date and criteria across alternatives; record when coverage differs. Do not silently treat an unavailable flood or access result as a favourable result.

    Keep required conditions outside the trade-off score

    Some requirements cannot be offset by a high score elsewhere. Establish applicable safety, access and planning conditions separately with the relevant advisers. A sunny site should not gain permission through arithmetic that compensates for an unresolved constraint. Mark each required condition as satisfied, unresolved or not satisfied for the decision in question.

    Explain scales and weights

    Define what each score means and whether higher is better. A raw distance, noise estimate and percentage need justified transformations before combination. Avoid double-counting related criteria such as station proximity and a transport score derived from that same distance. Agree weights with the people responsible for the decision and document their reasoning; a total of 100 does not itself validate them.

    Understand the available Atlasly controls

    The reviewed interface exposes weights for solar, transit, green space, terrain, quietness, walkability, flood risk and view quality. It validates their total before requesting a result. That interface does not establish that every source is available, current or suitable for a statutory assessment. Inspect the returned evidence and identify gaps before interpreting any grid or summary.

    Test sensitivity and write the decision

    Change uncertain inputs and plausible weights, then check whether rankings reverse. Examine close results in their original units instead of treating a small score difference as meaningful. Grid resolution describes sampling, not positional accuracy. Report the leading option, decisive evidence, assumptions, unresolved issues and what additional information could change the choice.

    Illustrative example

    Illustrative scenario: A team scores candidate sites using declared weights and marks missing data separately. It changes the weights to see whether the preferred site remains preferred before explaining the recommendation.

    Frequently asked

    Is the highest-scoring site objectively best?

    No. It is highest under the selected evidence, scales and weights. Different defensible priorities or new evidence may change the ranking.

    Can a weighted score establish planning compliance?

    No. Applicable requirements need their own review.

    What should happen to missing data?

    Show it explicitly and investigate material gaps. Do not substitute an unexplained zero or favourable default.

    Conclusion

    Use the comparison to make the decision explainable. Keep the underlying evidence and sensitivity tests with the headline score, and connect the result to a named next investigation.

    Atlasly

    About the author

    Shatakshi Patil

    Architect writing about pre-construction due diligence, planning context, and site intelligence workflows for design teams using Atlasly.

    Sources and references

    Authoritative references for the planning policies, regulations, and standards referenced in this article. Always check the publisher for the latest version.

    1. 1An Introductory Guide to Multi-Criteria Decision Analysis· Government Analysis Function

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