This study investigates how cycling speeds vary across infrastructure types using open data from Hamburg, Germany, collected between 2022 and 2024. By integrating bicycle network data, tracking app-based cycling speeds, land use, and topographic information, key determinants of cycling speed are identified through a gamma regression model. Results show that infrastructure type, surface conditions, and surrounding land use significantly affect speed. Dedicated cycling infrastructure promotes faster and more consistent speeds, especially on bituminous surfaces. Also, longer segments increase speeds. Urban or industrial areas tend to reduce speeds, while fields and forests lead to faster cycling speeds.
Cycling Speeds in Urban Traffic
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Cyclists do better. Analyzing urban cycling operating speeds and accessibility
Taylor & Francis Verlag | 2020
|Investigation of traffic speeds and accidents on urban roads
British Library Conference Proceedings | 1994
|Cycling and Urban Traffic Management and Control Systems
Online Contents | 2000
|Cycling and Urban Traffic Management and Control Systems
Transportation Research Record | 2000
|Cycling and Urban Traffic Management and Control Systems
British Library Conference Proceedings | 2000
|