Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea-Reference-Cited by-同舟云学术

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Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

Published:2023-05 Issue: Volume:109 Page:103587
ISSN:0966-6923
Container-title:Journal of Transport Geography
language:en
Short-container-title:Journal of Transport Geography

Author:

Choi Seung Jun,Jiao Junfeng,Lee Hye Kyung,Farahi Arya

Funder

University of Texas at Austin

National Science Foundation

U.S. Department of Transportation

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Geography, Planning and Development

Reference83 articles.

1. A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system;Ai;Neural Comput. & Applic.,2019

2. Influence of individual perceptions and bicycle infrastructure on decision to bike;Akar;Transp. Res. Rec.,2009

3. Random Forests and Decision Trees;Ali,2012

4. A long-term perspective on the COVID-19: the bike sharing system resilience under the epidemic environment;Bi;J. Transp. Health,2022

5. Comparing bicycling and pedestrian mobility: patterns of non-motorized human mobility in Greater Boston;Bongiorno;J. Transp. Geogr.,2019

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Autonomous driving parking robot systems for urban environmental benefit evaluation;Journal of Cleaner Production;2024-09

2. Bikesharing: The first- and last-mile service of public transportation? Evidence from an origin–destination perspective;Transportation Research Part A: Policy and Practice;2024-09

3. Features that influence bike sharing demand;Heliyon;2024-09

4. Developing a transit desert interactive dashboard: Supervised modeling for forecasting transit deserts;PLOS ONE;2024-07-24

5. A predictive analytics approach for forecasting bike rental demand;Decision Analytics Journal;2024-06

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