Fernanda Calore.
Recently active — last recorded decision Apr 2025
A case officer at Ealing with an approval rate of 82% across 297 decided planning applications, spanning 25 wards.[1] Decision speed and appeal performance publish when decision notices are ingested.
Topic mentions per 1,000 words of their own report text (boilerplate stripped), indexed against all parsed Ealing reports. Attention, not stance.
Mark = borough average (1×). Bar capped at 2×.
Calore's window/door-replacement reports work through EVERY individual opening being altered, elevation by elevation, stating the existing and proposed material/glazing for each — a granular, itemised style distinct from officers who assess fenestration changes as one collective judgement. Her numbered "1./2." topic headings (Design/Impact on neighbours) are consistently reused but sparse, with most of the substantive reasoning happening inside the numbered body text rather than under further sub-headings.
· itemises every individual window/door opening being altered, elevation by elevation, with the existing and proposed material/glazing type stated for each rather than assessing fenestration change collectively
· for Green Belt householder cases, calculates the percentage increase in footprint/floorspace/volume against the ORIGINAL dwelling using a rule-of-thumb acceptable range (20-30%) rather than a fixed borough figure
· uses a bare numbered "1./2." topic list (design, neighbours) with most substantive analysis inside the numbered body rather than further named sub-headings
· what this officer's reports consistently look for: the existing and proposed material/glazing type for EVERY individual window or door opening being altered, not a collective fenestration judgement
· what this officer's reports consistently look for: a percentage-increase calculation for Green Belt extensions measured against the footprint, floorspace AND volume of the original dwelling separately
· what this officer's reports consistently look for: the specific repair methodology (mortar mix, brick type, reinforcement method) for each elevation of a listed building undergoing brickwork repair
“Front elevation: six single glazed timber sliding sash windows to be replaced by double glazed purpose made uPVC sliding sash windows. Two windows in front elevation would be retained”
223829FUL
“As a rule-of-thumb, an increase of approximately 20% - 30% over the footprint, floorspace and volume of an original dwellinghouse would generally be acceptable, therefore the increase in area and floor space is not objectionable in its own right”
223945HH
Measured from 83 published Ealing officer reports written by this officer, with recited policy boilerplate stripped before any counting. These describe how this officer works and writes — they are not outcome predictions. Every quote is from a named public report.
The policies this officer cites most in their own reports — times cited across 83 parsed reports. Whether refusals citing each survive appeal isn't traced per policy yet.
Show all 25 rows
Where this officer's caseload concentrates, 2020–25.[1] Click the map above to focus this page on a ward, or a row to open the ward.
- [1]Applications decided, approval rate, per-year trend and ward breakdown — London Borough of Ealing planning register and published decision notices, 2020–25. · methodology
- [2]Appeal overturn and decision-time benchmarks — Planning Inspectorate (PINS) appeal decisions and application date pairs; not yet computed per officer, shown as a dash until they are. · PINS appeals casework
- [3]Condition load — mean effective conditions attached to Ealing decision notices (grant/split), parsed from the published notice text; a borough figure, not yet split per case officer.
- [4]"How this officer decides", the policy playbook and all quotes — parsed from 83 published Ealing officer reports written by this officer, recited policy boilerplate stripped before counting; disposition text coded from their own reasoning with every quote machine-verified verbatim. Descriptive of how they work — not outcome predictions.