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UID:pretalx-foss4g-it-2026-BZCWQQ@talks.osgeo.org
DTSTART;TZID=CET:20260710T170000
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DESCRIPTION:Industrial change is difficult to observe in real time: officia
 l statistics and administrative registers often capture closures\, convers
 ions\, and land-use shifts with substantial lags and at coarse spatial res
 olution. This contribution proposes an OSM-based Industrial Transition Ind
 ex (OSM-ITI) that leverages the full edit history of OpenStreetMap (OSM) t
 o detect and time-stamp micro-level transformations of industrial spaces\,
  treating OSM as a socio-technical sensor produced by distributed contribu
 tors.\n\nWe focus on industrial and production-related features (e.g.\, la
 nduse=industrial\, building=industrial/warehouse) and define “transition
  events” as changes in status or function recorded in OSM (e.g.\, indust
 rial → brownfield/abandoned\, industrial → retail/commercial\, warehou
 se → residential/office). Using open tools (ohsome/OSHDB\, PostGIS\, QGI
 S)\, we reconstruct transition time series for Italian NUTS3 provinces and
  selected urban areas\, and compute: (i) transition frequency\, (ii) media
 n time-to-conversion\, and (iii) persistence/lock-in scores consistent wit
 h path-dependence interpretations.\n\nWe then relate OSM-ITI dynamics to f
 ully open contextual indicators (Eurostat/ISTAT\, where available at terri
 torial level) on sectoral employment structure\, business demography proxi
 es\, and land-use/soil consumption datasets\, to assess whether areas with
  faster OSM-recorded transitions are also those exhibiting measurable stru
 ctural change. The goal is not to claim OSM as “ground truth”\, but to
  evaluate when OSM history provides earlier\, policy-relevant signals than
  traditional sources.\n\nThe contribution is twofold. For applied economic
 s\, OSM-ITI provides a new\, reproducible indicator to study creative dest
 ruction\, lock-in\, and place-based industrial transition under strict dat
 a constraints. For the GFOSS/OSM community\, it demonstrates how open geos
 patial infrastructures can generate interpretable socio-economic signals a
 nd releases a fully reproducible workflow (queries\, code\, documentation)
  that can be adapted across sectors and countries.
DTSTAMP:20260705T190909Z
LOCATION:Aula accademica
SUMMARY:OpenStreetMap as an early signal of structural change - andrea.sara
 valle2@unibo.it
URL:https://talks.osgeo.org/foss4g-it-2026/talk/BZCWQQ/
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