BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//sotm2026-osm-science//speaker//KTCSDV
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20250829T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20251026T030000
RDATE:20261025T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20260329T030000
RDATE:20270328T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:OpenStreetMap for Travel Demand Modeling: An Open Approach to Deri
 ve Attractiveness for Destination Choice Models - Christian Klinkhardt\, g
 abrielwilkes
DTSTART;TZID=Europe/Paris:20260829T154500
DTEND;TZID=Europe/Paris:20260829T155000
DTSTAMP:20260917T073459Z
UID:pretalx-sotm2026-osm-science-EYA7UN@pretalx.com
DESCRIPTION:OpenStreetMap data are used in travel demand modelling not onl
 y to derive transport networks\, but increasingly also to quantify the att
 ractiveness of traffic analysis zones in destination choice modeling. Our 
 paper presents this domain-specific use case and examines which processing
  steps are particularly suitable for deriving robust attractiveness measur
 es from OSM data. We describe the processing workflow and discuss the usab
 ility for modelling purposes. The developed workflow has been implemented 
 in code and is published on GitHub to support transparent and reproducible
  use.
LOCATION:Martinique
URL:https://pretalx.com/sotm2026-osm-science/talk/EYA7UN/
END:VEVENT
END:VCALENDAR