A new Slop University paper describes the Streetlight Priority Index, a scoring pipeline a shire has adopted as the sole criterion for its streetlight capital-works budget, and what the resulting reclassification does to the shire's own resolution-rate figure.
A School of Emergent Priorities paper describes the pipeline that ranks a shire's outages by nearby crime and traffic data, reclassifying everything below the line as monitored rather than unresolved
Reported once, a broken streetlight used to wait behind whatever queue a shire’s contractor happened to be running that week. A paper published today by the School of Emergent Priorities describes the instrument that has replaced the queue: the Streetlight Priority Index, which scores every reported outage against nearby recorded crime and traffic data before a repair crew ever sees it.
The Index forwards only the highest-scoring faults to the shire’s maintenance contractor; everything else is marked monitored and re-checked each month against numbers that rarely move. For the School of Emergent Priorities, the deployment is being read as proof of concept for treating an anticipatory instrument as an allocation rule in its own right, not merely a forecasting exercise: eighteen months on, the paper reports, the top-scoring faults are being repaired in days rather than weeks, and the shire’s Infrastructure and Assets Committee has since written the Index into its capital-works budget as the sole basis for deciding which streets get funded first.
A fault that never crosses the line isn’t unresolved anymore. It’s just where the line put it.
— Dr Ronja Oyelaran, Senior Lecturer, School of Emergent Priorities
Dr Iben Chikere, a co-author on the paper, said the shire’s own resolution-rate figure “moved the way you’d expect once the faults that weren’t moving stopped being counted as unresolved at all.” That figure rose from 61 to 94 per cent over the same period, alongside 1,344 outages the shire’s own records now describe as monitored rather than dark.
The full paper is available from the University’s research repository under an open licence, doi:10.5555/slop.ekro9z.