Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system

Saved in:
Bibliographic Details
Published in:Computational Urban Science
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868552970862329856
collection WordPress RSS
FRELIP Feed Integration
container_title Computational Urban Science
description
discipline_display Geography
discipline_facet Geography
format Online Article
RSS Article
genre Journal Article
id rss_article:70337
institution FRELIP
journal_source_facet Computational Urban Science
last_indexed 2026-06-20T21:29:33.752Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
Geography
General
Geography
sub_discipline_display General
sub_discipline_facet General
subject_display Geography
General
Geography
subject_facet Geography
General
Geography
title Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_alt Explorando los determinantes de los viajes de miembros de bicicletas compartidas con aprendizaje automático explicable: perspectivas del sistema Divvy de Chicago
Explorer les déterminants des trajets des membres d'un service de vélos en libre-service avec l'apprentissage automatique explicable : perspectives du système Divvy de Chicago
Explorando os determinantes das viagens de membros de bicicletas compartilhadas com aprendizado de máquina explicável: insights do sistema Divvy de Chicago
title_auth Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_es_txt Explorando los determinantes de los viajes de miembros de bicicletas compartidas con aprendizaje automático explicable: perspectivas del sistema Divvy de Chicago
title_fr_txt Explorer les déterminants des trajets des membres d'un service de vélos en libre-service avec l'apprentissage automatique explicable : perspectives du système Divvy de Chicago
title_full Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_fullStr Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_full_unstemmed Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_pt_txt Explorando os determinantes das viagens de membros de bicicletas compartilhadas com aprendizado de máquina explicável: insights do sistema Divvy de Chicago
title_short Exploring the determinants of bike-sharing member trips with explainable machine learning: insights from Chicago’s Divvy system
title_sort exploring the determinants of bike-sharing member trips with explainable machine learning: insights from chicago’s divvy system
topic Geography
General
Geography
url https://link.springer.com/article/10.1007/s43762-026-00254-9