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Expert Panel | Going Places: Location Intelligence for Transport and Logistics

Panelat Spatial Data Science Conference 2022 London · on Thursday, 2022-05-19· [data-science]
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Panel lays out concrete wins and gaps: using mobile network data and GPS probes to replace slow household surveys, justify EV charging investments and reveal travel-time swings (30 to 50 minutes example), while real-time problems persist because real-time road closure feeds are nonstandard or published as PDFs. Urban freight visibility remains fragmented and needs freight data standardization before city-wide logistics optimization works. EU mandate for infrastructure feeds by 2028 is cited as a deadline that will force change.

AI-written summary · about

  1. 0:00Introduction and panel setup
  2. 1:13Panelist introductions and icebreaker
  3. 4:21Decision making with spatial data
  4. 10:40Addressing data gaps in transport
  5. 14:07Interoperability and cross-sector cooperation
  6. 17:39Future challenges in transport modes
  7. 20:10Closing remarks and Q&A
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