Fostering cycling as mode of transport: Difference between revisions
Content added Content deleted
No edit summary |
m (MarcusV moved page Fostering urban cycling to Fostering cycling as mode of transport) |
||
(2 intermediate revisions by 2 users not shown) | |||
Line 1:
{{Stub}}
''This page is about the applications of machine learning (ML) in the context of urban cycling. For an overview of utility cycling more generally, please see the [https://en.wikipedia.org/wiki/Utility_cycling Wikipedia page] on this topic.''
Cycling is low-carbon, healthy way to commute in cities, but inhabitants often use this mode less than they would want to due to inappropriate biking infrastructure, which makes cycling more complicated and dangerous. ML can be used in the planning and management of new biking infrastructure, in particular in the context of shared bike services.▼
▲Cycling is a low-carbon, healthy way to commute in cities, but inhabitants often use this mode less than they would
==Background Readings==
|
Latest revision as of 08:24, 9 September 2021
🌎 This article is a stub, and is currently under construction. You can help by adding to it!
This page is about the applications of machine learning (ML) in the context of urban cycling. For an overview of utility cycling more generally, please see the Wikipedia page on this topic.
Cycling is a low-carbon, healthy way to commute in cities, but inhabitants often use this mode less than they would like to due to inappropriate biking infrastructure, which makes cycling more complicated and dangerous. ML can be used in the planning and management of new biking infrastructure, in particular in the context of shared bike services.