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Resident-generated service requests are increasingly used in data-driven urban management, but complaint records may reflect uneven administrative visibility rather than objective service needs. This study develops a benchmark-based 311 visibility audit as a diagnostic tool for sustainability governance, examining whether local service conditions become sufficiently visible to support inclusive, anticipatory, and resilient urban management. Using New York City’s 2023 311 records for six complaint categories—Heat/Hot Water, Noise—Residential, Rodent, Water System, Sewer, and Air Quality—the analysis constructs a tract-by-month-by-complaint-type panel and compares tract-level complaint shares with population, housing-related exposure, and rodent inspection benchmarks. The final dataset contains 661,251 geocoded requests across 2243 positive-population census tracts. Results show substantial complaint-type differences in population-benchmark mismatch: Air Quality has the largest exact total variation distance and Noise—Residential the smallest, while under-visible coverage exceeds over-visible coverage in all six categories. Alternative housing benchmarks change selected Heat/Hot Water and Rodent interpretations, and the external rodent check identifies 46 primary blind-spot candidates, narrowed to 17 benchmark-confirmed candidates. The study concludes that 311 systems should be used as diagnostic infrastructures for identifying information blind spots, not as direct measures of urban need or sustainability performance.
Dai et al. (Wed,) studied this question.