Parking Situation Analysis and Hotspots Identification of Shared Bicycles

Author:

Cui Yanli1,Liu Xia1,Zhao Jiawen1

Affiliation:

1. Jianghan University,School of Intelligent Manufacturing,Wuhan,China

Publisher

IEEE

Reference14 articles.

1. Sharing bicycle riding characteristics analysis in Shanghai based on mobike opening data;Lyu;Shanghai Urban Planning Review,2018

2. Travel demand analysis of bike-sharing based on big data: Taking Shanghai as an Example;Xu;Communication & Shipping,2021

3. Urban cycling hot spot extraction based on sharing-bikes’ big data;Yang;Bulletin of Surveying and Mapping,2018

4. Dynamic setting method of shared bicycle recycling point based on Geo Hash and clustering algorithm;Zhang;Logistics Sci-Tech,2019

5. Hotspots Identification and Classification of Dockless Bicycle Sharing Service under Electric Fence Circumstances

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