Understanding the Usage Patterns of Bicycle-Sharing Systems to Predict Users’ Demand: A Case Study in Wenzhou, China

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Different scenarios</td><td class="align_center" colspan="2">Scenario 1</td><td class="align_center" colspan="2">Scenario 2</td></tr><tr class="thead"><td class="align_center">Working days</td><td class="align_center">Nonworking days</td><td class="align_center">Cluster 1</td><td class="align_center">Cluster 2</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left"><i>R</i><sup>2</sup></td><td class="align_center">0.59</td><td class="align_center">0.52</td><td class="align_center">0.71</td><td class="align_center">0.64</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div><i>R</i><sup>2</sup> of BPNNs under Scenario 1 and Scenario 2.</div>

Computational Intelligence and Neuroscience

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Table 4

Table 4: Understanding the Usage Patterns of Bicycle-Sharing Systems to Predict Users’ Demand: A Case Study in Wenzhou, China 