Understanding the spatiotemporal patterns of public bicycle usage: A case study of Hangzhou, China
Author:
Affiliation:
1. School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai, China;
2. Department of Real Estate and Institute of Real Estate and Urban Studies, National University of Singapore, Singapore
Publisher
Informa UK Limited
Subject
Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/15568318.2018.1538400
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1. Simple diagnostic tests for spatial dependence
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3. Pattern Recognition with Fuzzy Objective Function Algorithms
4. SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE
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