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DTSTART:20250916T000000
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DTSTART:20251026T030000
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SUMMARY:Data-driven planning of multimodal bike and public transport netwo
 rks - Malte Schröder
DTSTART;TZID=Europe/Amsterdam:20260916T151800
DTEND;TZID=Europe/Amsterdam:20260916T154300
DTSTAMP:20260918T122614Z
UID:pretalx-crbam-2026-9UBYCT@pretalx.com
DESCRIPTION:Sustainable urban mobility is an essential foundation for liva
 ble cities. Especially in urban areas\, public transportation and active m
 odes\, such as cycling\, are two key components of achieving sustainable m
 obility. However\, planning infrastructure networks for different modes of
  transport must accommodate distinct requirements and user behavior\, ofte
 n resulting in various\, even contradictory\, constraints.\n\nHere\, we pr
 esent initial results from an ongoing project on data-driven planning of e
 fficient cycling infrastructure networks\, including bike paths and sharin
 g stations\, from the perspective of multi-modal mobility\, combining cycl
 ing with public transport. We focus on the city of Dresden\, Germany\, whe
 re the local public transport provider DVB also offers bike-sharing servic
 es at many public transport stations and physical or virtual mobility hubs
 . In the project\, we aim to develop a data-driven planning model for diff
 erent infrastructure types to generate efficient cycling infrastructure ne
 tworks for different user types. Comparing the resulting networks highligh
 ts the various constraints during network planning and may help to answer 
 questions such as: How does the structure of efficient bike path networks 
 change when explicitly accounting for first- and last-mile demand from int
 ra-city public transport trips? Does the same network equitably serve diff
 erent user and usage types\, such as short-range city trips and long-range
  commuting including cycling to access public transport stops? Which part 
 of the bike-sharing network should offer electric bikes to enable longer-r
 ange cycling trips?\n\nOverall\, we aim to provide an automated\, data-dri
 ven planning tool to support strategic infrastructure design that helps pr
 omote multi-modal active mobility to contribute to more sustainable urban 
 mobility.
LOCATION:Room 2 (Lecture Room 2.1)
URL:https://pretalx.com/crbam-2026/talk/9UBYCT/
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