Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework
Author:
Affiliation:
1. Jiangsu Key Laboratory of Urban ITSSoutheast UniversityNanjingPeople's Republic of China
2. School of TransportationSoutheast UniversityDongnandaxue #2NanjingPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Law,Mechanical Engineering,General Environmental Science,Transportation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0008
Reference33 articles.
1. How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal
2. Factors influencing bike share membership: an analysis of Melbourne and Brisbane;Fishman E.;Transp. Res. A, Policy Pract.,2015
3. Bike share trip generation in New York city;Noland R.B.;Transp. Res. A, Policy Pract.,2016
4. Free-floating bike sharing: Solving real-life large-scale static rebalancing problems
5. Bike sharing and the economy, the environment, and health‐related externalities;Qiu L.;Sustainability,2018
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