Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China

<table class="fixed-width table-group" id="tab4"><tr><td><table class="table"><colgroup><col style="width:9.10em"/><col style="width:8.01em"/><col style="width:10.85em"/><col style="width:10.64em"/><col style="width:17.02em"/></colgroup><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left" rowspan="2">Transit <br/>Commuters</td><td class="align_center">Number of cards</td><td class="align_center">Ave. first-boarding time</td><td class="align_center">Ave. last-boarding time</td><td class="align_center">Travel frequency of workdays in a week</td></tr><tr><td class="align_center">288153</td><td class="align_center">7:30-8:00</td><td class="align_center">17:30-18:00</td><td class="align_center">4.2 days</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Identification results of the NBC model.</div>

Journal of Advanced Transportation

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Table 4

Table 4: Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China 