Using flow analysis of bike-sharing system for finding spatiotemporal mobility patterns in Kuopio city region
Author:
Affiliation:
1. Savonia University of Applied Sciences,Wellness technology,Kuopio,Finland
2. Savonia University of Applied Sciences,Bio and Circular Economy,Kuopio,Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10293179/10293210/10293575.pdf?arnumber=10293575
Reference23 articles.
1. What do trip data reveal about bike-sharing system users?
2. Effects of Free-Floating Shared Bicycles on Urban Public Transportation
3. Visualizing mobility data: the scalability challenge;boyandin;Teralytics,2019
4. Predicting Bike Usage for New York City's Bike Sharing System;singhvi;AAAI-15 Workshop on Computational Sustainability,0
5. Data Analysis and Optimization for (Citi)Bike Sharing;e;Proceedings of the AAAI Conference on Artificial Intelligence,2015
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